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    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/34/Rei-A-Policy-Specification-Language"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/494/Text-Based-Similarity-and-Delta-for-Semantic-Web-Graphs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/457/Finding-Appropriate-Semantic-Web-Ontology-Terms-from-Words"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/394/Enabling-Semantic-Ecoblogging-and-Bioblitzes"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/375/Streaming-Knowledge-Bases"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/353/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/334/Policy-Based-Access-Control-for-an-RDF-Store"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/316/Characterizing-the-Semantic-Web-on-the-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/284/Semantic-Analytics-on-Social-Networks-Experiences-in-Addressing-the-Problem-of-Conflict-of-Interest-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/303/Integrating-Ecoinformatics-Resources-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/241/Finding-and-Ranking-Knowledge-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/263/Tracking-RDF-Graph-Provenance-using-RDF-Molecules"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/257/Using-Ontologies-in-the-Semantic-Web-A-Survey"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/266/Using-Ontologies-in-the-Semantic-Web-A-Survey"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/183/Swoogle-A-Search-and-Metadata-Engine-for-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/189/Will-the-Semantic-Web-Change-Science-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/103/SweetJess-Translating-DamlRuleML-to-Jess"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/126/10M-RDF-triples"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/154/AJAX-Tutorial"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/215/Geospatial-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/339/Making-the-Semantic-Web-Easier-to-Use-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/240/Managing-Data-with-Changing-Scheme-in-RDF-Databases"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/196/Most-common-RDF-namespaces"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/141/Recognizing-Activities-using-RFID"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/300/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/159/UMBC-Semantic-Web-Reference-Card-v1"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/160/UMBC-Semantic-Web-Reference-Card-v1-A4-"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/273/Constraint-Generation-and-Reasoning-in-OWL"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/202/Using-an-RDF-Framework-to-Carry-Metadata-for-Climate-Datasets"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/165/Semantically-Linked-Bayesian-Networks-A-Framework-for-Probabilistic-Inference-Over-Multiple-Bayesian-Networks"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
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 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations">
  <title><![CDATA[Graph of Relations]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/95/Graph-of-Relations</link>
  <description><![CDATA[ 
Users need better ways to explore linked open data collections and obtain information from it. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology used by the DBpedia, and URIs for entities of interest.  Natural language question answering systems solve the problem, but these are still subjects of research. We are developing a compromise approach in which non-experts specify a graphical ``skeleton'' for a query and anno...]]></description>
  <dc:date>2010-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/82/RDF123">
  <title><![CDATA[RDF123]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/82/RDF123</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map spreadsheet cells to a new RDF node or to a literal value. Labels on the nodes in the map can be used to create blank nodes or labeled nodes, a...]]></description>
  <dc:date>2007-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/34/Rei-A-Policy-Specification-Language">
  <title><![CDATA[Rei : A Policy Specification Language]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/34/Rei-A-Policy-Specification-Language</link>
  <description><![CDATA[Security is a critical problem in dynamic and open distributed
environments such as those enabled by the semantic web and pervasive computing technologies. The presence of heterogeneous entities that
are neither pre-determined nor permanent, and the lack of central
control are some of its challenges.  We believe that declarative
policies address this problem while maintaining openness and
flexibility.  We propose the use of policies defined in OWL to
constrain the behavior of entities i...]]></description>
  <dc:date>2002-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/494/Text-Based-Similarity-and-Delta-for-Semantic-Web-Graphs">
  <title><![CDATA[Text Based Similarity and Delta for Semantic Web Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/494/Text-Based-Similarity-and-Delta-for-Semantic-Web-Graphs</link>
  <description><![CDATA[Recognizing that two Semantic Web documents or graphs
are similar, and characterizing their differences is useful in many tasks,
including retrieval, updating, version control and knowledge base editing.
We describe a number of text based similarity metrics that characterize
the relation between Semantic Web graphs and evaluate these metrics
for three specific cases of similarity that we have identified: similarity in
classes and properties used while differing only in literal content, ...]]></description>
  <dc:date>2010-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/457/Finding-Appropriate-Semantic-Web-Ontology-Terms-from-Words">
  <title><![CDATA[Finding Appropriate Semantic Web Ontology Terms from Words]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/457/Finding-Appropriate-Semantic-Web-Ontology-Terms-from-Words</link>
  <description><![CDATA[The Semantic Web was designed to unambiguously deﬁne and use ontologies to encode data and knowledge on the Web. Many people ﬁnd it difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they deﬁne. We describe a system that automatically maps a set of ordinary English words to a set of appropriate ontology terms on the Semantic Web. We use the Swoogle Semantic Web search engine to provide ontol...]]></description>
  <dc:date>2009-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/416/Streaming-Knowledge-Bases</link>
  <description><![CDATA[With the advent of pervasive computing, we encounter many scenarios where data is constantly flowing between sensors and applications.  The volume of data produced is large, so is the rate of the dataflow.  In such scenarios, knowledge extraction boils down to finding useful information i.e. detecting events of interest. Typical use cases where event detection is of paramount importance are surveillance, tracking, telecommunications data management, disease outburst detection and environmenta...]]></description>
  <dc:date>2008-10-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/394/Enabling-Semantic-Ecoblogging-and-Bioblitzes">
  <title><![CDATA[Enabling Semantic Ecoblogging and Bioblitzes]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/394/Enabling-Semantic-Ecoblogging-and-Bioblitzes</link>
  <description><![CDATA[People currently create Eco-blogs: stories about wildlife they
have seen or observations they've made. Similarly, citizen and
scientists work together on Bioblitzes to comprehensively report
as many species as possible from an area. Currently, none of this
information is easily discovered or integrated.  We developed and
have tested two tools that aim to make it easier for individual
scientists and citizens to convert their information to RDF and
OWL. Of 1200 Blogger BioBlitz observati...]]></description>
  <dc:date>2008-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/372/RDF123-and-Spotter-Tools-for-generating-OWL-and-RDF-for-biodiversity-data-in-spreadsheets-and-unstructured-text">
  <title><![CDATA[RDF123 and Spotter: Tools for generating OWL and RDF for biodiversity data in spreadsheets and unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/372/RDF123-and-Spotter-Tools-for-generating-OWL-and-RDF-for-biodiversity-data-in-spreadsheets-and-unstructured-text</link>
  <description><![CDATA[OWL (the Web Ontology Language) and the related RDF (Resource Description Framework) are XML-based languages designed to represent the semantics of data. These languages enable systems to go beyond simple controlled vocabularies and specify the contexts and logical relationships among terms. Formal ontologies use classes (e.g., Species A) and properties (e.g., is a member of, or eats, or has body mass) to represent concepts and relationships as assertions. For example, two assertions might be...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/375/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/375/Streaming-Knowledge-Bases</link>
  <description><![CDATA[A knowledge base can be thought of as a special kind of database for knowledge management. It provides the means for computerized collection, organization and retrieval of knowledge. Due to growth in deployment of sensors, we encounter many scenarios where data is constantly flowing between sensors and applications. The volume of data produced is large, so is the rate of the data-flow. In such scenarios, knowledge extraction boils down to finding useful information i.e. detecting events of in...]]></description>
  <dc:date>2007-08-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF">
  <title><![CDATA[RDF123: a mechanism to transform spreadsheets to RDF]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF</link>
  <description><![CDATA[We describe RDF123, a highly flexible open-source tool for transforming spreadsheet data to RDF. Existing spreadsheet-to-RDF tools typically map only to star-shaped RDF graphs, i.e. each spreadsheet row is an instance, with each column representing a property. RDF123, on the other hand, allows users to define mappings to arbitrary graphs, thus allowing much richer spreadsheet semantics to be expressed.  Further, each row in the spreadsheet can be mapped with a different RDF/OWL scheme. ...]]></description>
  <dc:date>2007-08-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/353/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web">
  <title><![CDATA[Finding Data, Knowledge, and Answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/353/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-02-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/334/Policy-Based-Access-Control-for-an-RDF-Store">
  <title><![CDATA[Policy-Based Access Control for an RDF Store]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/334/Policy-Based-Access-Control-for-an-RDF-Store</link>
  <description><![CDATA[Specialized stores for RDF data are essential parts of many
Semantic Web applications. Current RDF stores have primarily
focused on efficiently storing and querying large volumes
of data and little attention has been given other features
common to many database systems, including how information
can updated and maintained or access to data
controlled. The problem is complicated by the fact that the
addition or deletion of a simple fact (i.e., an RDF triple) are
not atomic since they c...]]></description>
  <dc:date>2007-01-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/316/Characterizing-the-Semantic-Web-on-the-Web">
  <title><![CDATA[Characterizing the Semantic Web on the Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/316/Characterizing-the-Semantic-Web-on-the-Web</link>
  <description><![CDATA[Semantic Web languages are being used to represent, encode and
exchange semantic data in many contexts beyond the Web -- in
databases, multiagent systems, mobile computing, and ad hoc networking
environments.  The core paradigm, however, remains what we call the
{em Web aspect} of the Semantic Web -- its use by independent and
distributed agents who publish and consume data on the World Wide Web.
To better understand this central use case, we have harvested and
analyzed a collection of...]]></description>
  <dc:date>2006-11-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/284/Semantic-Analytics-on-Social-Networks-Experiences-in-Addressing-the-Problem-of-Conflict-of-Interest-Detection">
  <title><![CDATA[Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/284/Semantic-Analytics-on-Social-Networks-Experiences-in-Addressing-the-Problem-of-Conflict-of-Interest-Detection</link>
  <description><![CDATA[In this paper, we describe a Semantic Web application that detects Conflict of Interest relationships among potential reviewers and authors of scientific papers. This application discovers various "semantic associations" between the reviewers and authors in a populated ontology to determine a degree of Conflict of Interest.  This ontology is built by integrating entities and relationships from two social networks, namely 'knows' from a FOAF (Friendof- a-Friend) social network, and 'co-author'...]]></description>
  <dc:date>2006-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/303/Integrating-Ecoinformatics-Resources-on-the-Semantic-Web">
  <title><![CDATA[Integrating Ecoinformatics Resources on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/303/Integrating-Ecoinformatics-Resources-on-the-Semantic-Web</link>
  <description><![CDATA[We describe ELVIS (the Ecosystem Location Visualization and
Information System), a suite of tools for constructing food webs
for a given location. We express both ELVIS input and output
data in OWL, thereby enabling its integration with other
semantic web resources. In particular, we describe using a Triple
Shop application to answer SPARQL queries from a collection of
semantic web documents. This is an end-to-end case study for the
semantic web's utility for ecological and environmen...]]></description>
  <dc:date>2006-05-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/241/Finding-and-Ranking-Knowledge-on-the-Semantic-Web">
  <title><![CDATA[Finding and Ranking Knowledge on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/241/Finding-and-Ranking-Knowledge-on-the-Semantic-Web</link>
  <description><![CDATA[Swoogle is a system that helps knowledge engineers and software agents find knowledge on the web encoded in the semantic web languages RDF and OWL.  Based on the search mechanisms provided in the previous version, we propose a novel semantic web navigation model and refine mechanisms for ranking the semantic web at various granularities. Although the semantic web is materialized on the Web, it is hard to navigate within the semantic web since few explicit ``hyperlinks'' are available besides ...]]></description>
  <dc:date>2005-11-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/263/Tracking-RDF-Graph-Provenance-using-RDF-Molecules">
  <title><![CDATA[Tracking RDF Graph Provenance using RDF Molecules]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/263/Tracking-RDF-Graph-Provenance-using-RDF-Molecules</link>
  <description><![CDATA[Tracking the provenance of an RDF graph requires
finding all supporting sources and rejecting all irrelevant ones, but
neither RDF document nor triple is appropriate. Therefore, we approach
this goal using lossless decomposition of RDF graph at RDF molecule
granularity, which is the finest and lossless sub-graph of an RDF
graph. We also implements three decomposition strategies a prototype
RDF graph provenance service covering 50M real world triples collected
by Swoogle.]]></description>
  <dc:date>2005-11-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/257/Using-Ontologies-in-the-Semantic-Web-A-Survey">
  <title><![CDATA[Using Ontologies in the Semantic Web: A Survey]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/257/Using-Ontologies-in-the-Semantic-Web-A-Survey</link>
  <description><![CDATA[The Semantic Web is well recognized as an effective infrastructure to enhance visibility of knowledge on the Web. The core of the Semantic Web is "ontology", which is used to explicitly represent our conceptualizations. Ontology engineering in the Semantic Web is primarily supported by languages such as RDF, RDFS and OWL. This chapter discusses the requirements of ontologies in the context of the Web, compares the above three languages with existing knowledge representation formalisms, and su...]]></description>
  <dc:date>2005-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/266/Using-Ontologies-in-the-Semantic-Web-A-Survey">
  <title><![CDATA[Using Ontologies in the Semantic Web: A Survey]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/266/Using-Ontologies-in-the-Semantic-Web-A-Survey</link>
  <description><![CDATA[The Semantic Web is well recognized as an effective infrastructure to enhance
visibility of knowledge on the Web. The core of the Semantic Web is ontology,
which is used to explicitly represent our conceptualizations. Ontology engineering
in the Semantic Web is primarily supported by languages such as RDF, RDFS and
OWL. This chapter discusses the requirements of ontologies in the context of the
Web, compares the above three languages with existing knowledge representation
formalisms, an...]]></description>
  <dc:date>2005-07-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/223/Swoogle-Searching-for-knowledge-on-the-Semantic-Web">
  <title><![CDATA[Swoogle: Searching for knowledge on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/223/Swoogle-Searching-for-knowledge-on-the-Semantic-Web</link>
  <description><![CDATA[Swoogle is an implemented system that discovers, analyzes and indexes
knowledge encoded in semantic web documents on the Web. Swoogle
reasons about these documents and their constituent parts (e.g., terms
and triples) and records meaningful metadata about them. Swoogle
provides webscale semantic web data access service, which helps human
users and software systems to find relevant documents, terms and
triples, via its search and navigation services.  Swoogle also
provides a customizabl...]]></description>
  <dc:date>2005-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/240/Tracking-RDF-Graph-Provenance-using-RDF-Molecules">
  <title><![CDATA[Tracking RDF Graph Provenance using RDF Molecules]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/240/Tracking-RDF-Graph-Provenance-using-RDF-Molecules</link>
  <description><![CDATA[The Semantic Web facilitates integrating partial knowledge and finding evidence for hypothesis from web knowledge sources. However, the appropriate level of granularity for tracking provenance of RDF graph remains in debate. RDF document is too coarse since it could contain irrelevant information.  RDF triple will fail when two triples share the same blank node. Therefore, this paper investigates lossless decomposition of RDF graph and tracking the provenance of RDF graph using RDF molecule, ...]]></description>
  <dc:date>2005-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/183/Swoogle-A-Search-and-Metadata-Engine-for-the-Semantic-Web">
  <title><![CDATA[Swoogle: A  Search and Metadata Engine for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/183/Swoogle-A-Search-and-Metadata-Engine-for-the-Semantic-Web</link>
  <description><![CDATA[Swoogle is a crawler-based indexing and retrieval system for the 
Semantic Web. 
It extracts metadata for each discovered document, and computes 
relations between documents. Discovered documents are also 
indexed by an information retrieval system which can use either 
character N-Gram or URIrefs as keywords to find relevant documents 
and to compute the similarity among a set of documents.  One of the 
interesting properties we compute is textit {ontology rank}, a measure of the impo...]]></description>
  <dc:date>2004-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/189/Will-the-Semantic-Web-Change-Science-">
  <title><![CDATA[Will the Semantic Web Change Science?]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/189/Will-the-Semantic-Web-Change-Science-</link>
  <description><![CDATA[Science thrives when ideas, hypotheses, data and knowledge are quickly and easily shared within disciplines and communities.  Traditionally, this was done through personal interactions, letters, lectures, and articles in professional journals.  The advent of the Internet and Web accelerated  information sharing with tools like email, online publishing, digital libraries and comprehensive search engines such as Google.  Researchers and developers are now exploring a new idea that many believe ...]]></description>
  <dc:date>2004-09-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection">
  <title><![CDATA[A Target-Centric Ontology for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection</link>
  <description><![CDATA[We present an approach to some security problems in multi-agent systems based on distributed trust and the delegation of permissions, and credibility. We assume an open environment in which agents must interact with other agents with which they are not familiar. In particular, an agent will receive requests and assertions from other agents and must decide how to act on the requests and assess the credibility of the assertions. In a closed environment, agents have well known and familiar trans...]]></description>
  <dc:date>2003-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/103/SweetJess-Translating-DamlRuleML-to-Jess">
  <title><![CDATA[SweetJess: Translating DamlRuleML to Jess]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/103/SweetJess-Translating-DamlRuleML-to-Jess</link>
  <description><![CDATA[We describe the design of SweetJess, our new system for Semantic Web rules in Jess. The SweetJess approach makes four main new contributions. First, we show how to translate from rules in the Situated Courteous Logic Pro-grams (SCLP) knowledge representation, syntactically encoded in RuleML, into Jess rules, and likewise to translate from a broad but restricted case of Jess rules into SCLP RuleML. SCLP is expressively powerful and features priori-tized conflict handling and procedural attachm...]]></description>
  <dc:date>2002-06-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/126/10M-RDF-triples">
  <title><![CDATA[10M RDF triples]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/126/10M-RDF-triples</link>
  <description><![CDATA[A colleague has been testing the scalablilty of a triple store using synthetic triples.  He asked if we could package up a large collection of real tiples caught in the wild by Swoogle.  After talking a bit, it was decided that having them as a simple SQL database dump would be the most convenient form.

This SQL database dump contains a table that of about 10.4M RDF triples extracted from the Swoogle cache on June 15, 2005.  The size of the compressed file is 162M and when uncompressed its...]]></description>
  <dc:date>2005-06-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/154/AJAX-Tutorial">
  <title><![CDATA[AJAX Tutorial]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/154/AJAX-Tutorial</link>
  <description><![CDATA[A tutorial on AJAX]]></description>
  <dc:date>2005-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web">
  <title><![CDATA[Blackbook3: A Graph Analytic Processing Platform For The Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/281/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web</link>
  <description><![CDATA[Started in 2006, Blackbook3 is primarily an RDF middleware framework for integrating data and executing algorithms. Its purpose is to enable content providers and developers to focus on their unique problem, allowing Blackbook3 to handle the production-level, enterprise framing that is commonly duplicated. Security, web services, ingestion tools, visualizers,workflow, and analyst applications are provided as additional features. This talk will go into the current and future use cases for Bla...]]></description>
  <dc:date>2009-10-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices">
  <title><![CDATA[Collabora've	   Data	   Gathering	   Using	    Context-­‐aware	   Mobile	   Devices]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/303/Collabora-ve-Data-Gathering-Using-Context-aware-Mobile-Devices</link>
  <description><![CDATA[The popularity of Internet-enabled mobile technology allows people to participate in many data gathering tasks such as making scientific observation, responding to regional polls, and collecting location-specific information such as parking availability and road conditions. Reaching users on their mobile devices poses challenges regarding appropriate user selection and user's state to respond to any data queries. We present a context-aware framework to support collaborative data gathering app...]]></description>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web">
  <title><![CDATA[Finding Data, Knowledge, and Answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-05-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/183/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/183/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-07-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-05-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/215/Geospatial-Semantic-Web">
  <title><![CDATA[Geospatial Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/215/Geospatial-Semantic-Web</link>
  <description><![CDATA[An introduction to Geospatial Semantic Web technology. An invited talk given by Dr. Harry Chen at UMBC (CMSC 491/691M Spring 2007 Special Topic Course on the Semantic Web). 
This presentation covers key issues related to Geospatial Semantic Web: (1) extracting hidden knowledge from unstructured and structured data, (2) knowledge fusion over heterogeneous data sources, (3) ontology sharing and (4) building user-friendly Semantic Web applications.
 It also describes state-of-the-art technolog...]]></description>
  <dc:date>2007-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/339/Making-the-Semantic-Web-Easier-to-Use-">
  <title><![CDATA[Making the Semantic Web Easier to Use]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/339/Making-the-Semantic-Web-Easier-to-Use-</link>
  <description><![CDATA[Semantic Web technologies have the potential to support many activities by providing a Web-based data representation that ties data to semantics models, facilitates data sharing and linking, supports provenance annotations, and can exploit a large and growing collection of background knowledge on the Web. While the concepts and technologies are mature and supported by sound standards, their use within most application communities remains relatively low. This talk will discuss current research...]]></description>
  <dc:date>2012-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/240/Managing-Data-with-Changing-Scheme-in-RDF-Databases">
  <title><![CDATA[Managing Data with Changing Scheme in RDF Databases]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/240/Managing-Data-with-Changing-Scheme-in-RDF-Databases</link>
  <description><![CDATA[Use RDF databases and Semantic Web technology to gracefully handle exten-sible and/or dynamic schemata in relational databases.]]></description>
  <dc:date>2007-09-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/196/Most-common-RDF-namespaces">
  <title><![CDATA[Most common RDF namespaces]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/196/Most-common-RDF-namespaces</link>
  <description><![CDATA[Here's some data we collected from Swoogle on 22 August 2006 for Frederick Giasson's  Ping the Semantic Web project. This table shows the 100 most common namespaces measured by the number of Semantic Web Documents (SWDs) that use them. For each one, we give the most common abbreviation, the percent of SWDs using the name space that use the most common abbreviation, and the number of SWDs using the namespace as an absolute number and as a percent of all SWDs.]]></description>
  <dc:date>2006-08-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents">
  <title><![CDATA[Predicting food web connectivity: Phylogenetic scope, evidence thresholds, and intelligent agents]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/197/Predicting-food-web-connectivity-Phylogenetic-scope-evidence-thresholds-and-intelligent-agents</link>
  <description><![CDATA[Presentation at the Ecological Society of America annual meeting in Memphis, TN  August 8, 2006. Part of a symposium organized by Tim Keitt and Bill Fagan: Structure and Dynamics of Ecological Networks.

We parameterize a model for predicting trophic links using previously published interaction networks and phylogenetic/taxonomic trees. Interactors in given food webs are identified where possible to scientific name at the most appropriate taxonomic level so that a tree can used to search fo...]]></description>
  <dc:date>2006-08-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-">
  <title><![CDATA[RDF Web service v1.0 (java servlet)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0">
  <title><![CDATA[RDF123 java application v1.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0">
  <title><![CDATA[RDF123 linux application v1.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation">
  <title><![CDATA[RDF123 presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph. The spreadsheets must consist of a single table with or without header rows. Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation. The template can map a spreadsheet cell to a new RDF node or to a literal value. Labels o...]]></description>
  <dc:date>2007-07-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0">
  <title><![CDATA[RDF123 windows application v1.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/140/Recognizing-Activities-using-RFID">
  <title><![CDATA[Recognizing Activities using RFID]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/140/Recognizing-Activities-using-RFID</link>
  <description><![CDATA[Discovering the activites of daily life through a wearable RFID tag reader.]]></description>
  <dc:date>2005-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/141/Recognizing-Activities-using-RFID">
  <title><![CDATA[Recognizing Activities using RFID]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/141/Recognizing-Activities-using-RFID</link>
  <dc:date>2005-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/300/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs">
  <title><![CDATA[Text Based Similarity Metrics and Delta for Semantic Web Graphs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/300/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs</link>
  <description><![CDATA[Recognizing that two semantic web documents or graphs are similar, and characterizing their differences is useful in many tasks, including retrieval, updating, version control and knowledge base editing. We describe a number of text based similarity metrics that characterize the relation between semantic web graphs and evaluate these metrics for three specific cases of similarity that we have identified: similarity in classes and properties used while differing only in literal content, differ...]]></description>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/159/UMBC-Semantic-Web-Reference-Card-v1">
  <title><![CDATA[UMBC Semantic Web Reference Card - v1]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/159/UMBC-Semantic-Web-Reference-Card-v1</link>
  <description><![CDATA[The UMBC Semantic Web Reference Card v1 is a handy "cheat sheet" for semantic web developers and programmers. It can be printed double sided on one sheet of paper and tri-folded. The card lists common RDF/RDFS/OWL classes and properties, popular namespaces and terms, XML datatypes, reserved terms, grammars and examples for encodings, etc. Please send any comments or suggestions to feedback@ebiquity.umbc.edu.
An
A4 size version is also available.

A revised version (v2) was published on No...]]></description>
  <dc:date>2005-03-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/160/UMBC-Semantic-Web-Reference-Card-v1-A4-">
  <title><![CDATA[UMBC Semantic Web Reference Card - v1 (A4)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/160/UMBC-Semantic-Web-Reference-Card-v1-A4-</link>
  <description><![CDATA[The UMBC Semantic Web Reference Card v1 is a handy "cheat sheet" for semantic web developers and programmers. It can be printed double sided on one sheet of paper and tri-folded. The card lists common RDF/RDFS/OWL classes and properties, popular namespaces and terms, XML datatypes, reserved terms, grammars and examples for encodings, etc. Please send any comments or suggestions to feedback@ebiquity.umbc.edu. 
A
LETTER size version is also available.

A revised version (v2) was published ...]]></description>
  <dc:date>2005-03-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/94/UMBC-Semantic-Web-Reference-Card-v2">
  <title><![CDATA[UMBC Semantic Web Reference Card - v2]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/94/UMBC-Semantic-Web-Reference-Card-v2</link>
  <description><![CDATA[The UMBC Semantic Web Reference Card is a handy "cheat sheet" for Semantic Web developers.  It can be printed double sided on one sheet of paper and tri-folded.  
The card includes the following content:

 RDF/RDFS/OWL vocabulary
 RDF/XML reserved terms (they are outside RDF vocabulary) 
 a simple RDF example in different formats
 SPARQL semantic web query language reference
 many handy facts for developers

Please send any comments or suggestions to feedback@ebiquity.umbc.edu.

An...]]></description>
  <dc:date>2005-11-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/97/UMBC-Semantic-Web-Reference-Card-v2-A4-">
  <title><![CDATA[UMBC Semantic Web Reference Card - v2 (A4)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/97/UMBC-Semantic-Web-Reference-Card-v2-A4-</link>
  <description><![CDATA[The UMBC Semantic Web Reference Card is a handy "cheat sheet" for Semantic Web developers.  It can be printed double sided on one sheet of paper and tri-folded.  
The card includes the following content:

 RDF/RDFS/OWL vocabulary
 RDF/XML reserved terms (they are outside RDF vocabulary) 
 a simple RDF example in different formats
 SPARQL semantic web query language reference
 many handy facts for developers

Please send any comments or suggestions to feedback@ebiquity.umbc.edu.

A...]]></description>
  <dc:date>2005-11-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/321/Data-Integration-Using-Correlated-Concepts">
  <title><![CDATA[Data Integration Using Correlated Concepts]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/321/Data-Integration-Using-Correlated-Concepts</link>
  <description><![CDATA[Lushan Han will talk about "Data Integration Using Correlated Concepts". 

Abstract: 
The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. It is difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. While ontologies have been developed for various branches of the sciences, their use remains limited. We describe ...]]></description>
  <dc:date>2009-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/318/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web">
  <title><![CDATA[Blackbook3:  A Graph Analytic Processing Platform For The Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/318/Blackbook3-A-Graph-Analytic-Processing-Platform-For-The-Semantic-Web</link>
  <description><![CDATA[Lance Byrd and Set Cruz will talk about Blackbook, a Graph Analytic Processing Platform For The Semantic Web.

 Started in 2006, Blackbook3 is primarily an RDF middleware framework for integrating data and executing algorithms.  Its purpose is to enable content providers and developers to focus on their unique problem, allowing Blackbook3 to handle the production-level, enterprise framing that is commonly duplicated.  Security, web services, ingestion tools, visualizers,workflow, and analys...]]></description>
  <dc:date>2009-10-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers">
  <title><![CDATA[Predicting Appropriate Semantic Web Terms from Words and Table Headers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers</link>
  <description><![CDATA[We are developing an innovative system which takes a set of English words and searches among the ontologies available on the Semantic Web to find the best schemas to encode information associated with the with the words. In other words, a schema written flexibly with ordinary words can be mapped to its canonical form in RDF.

By using the system, the ontology network will gradually evolves, driven by people’s own knowledge and convention, toward a network of concepts resembling those in t...]]></description>
  <dc:date>2008-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/273/Constraint-Generation-and-Reasoning-in-OWL">
  <title><![CDATA[Constraint Generation and Reasoning in OWL]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/273/Constraint-Generation-and-Reasoning-in-OWL</link>
  <description><![CDATA[The majority of OWL ontologies in the emerging Semantic Web are constructed from properties that lack domain and range constraints. Constraints in OWL are different from the familiar uses in programming languages and databases, and are actually type assertions that are made about the individuals which are connected by the property. These assertions can add vital information to the model because they are assertions of type on the individuals involved, and they can also give information on how ...]]></description>
  <dc:date>2008-11-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/228/Predicting-Appropriate-Semantic-Web-Terms-from-Words">
  <title><![CDATA[Predicting Appropriate Semantic Web Terms from Words]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/228/Predicting-Appropriate-Semantic-Web-Terms-from-Words</link>
  <description><![CDATA[The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. We describe a system that suggests appropriate RDF terms given semantically related English words and general domain and context information. We use the Swoogle Semantic Web search engine t...]]></description>
  <dc:date>2008-02-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/216/Linked-Data">
  <title><![CDATA[Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/216/Linked-Data</link>
  <description><![CDATA[Linked Data refers to a collection of best practices for publishing data on the semantic web. It is also, in part, a re-branding of the semantic web itself, with less emphasis on semantics, and more on RDF linkages amongst data sources. Also heavily emphasized is the proper role of web architecture (http requests and responses; 303 redirects; etc.), and the distinction between information resources (those that physically reside on the web), and non-information resources (those that exist in t...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/220/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/220/Streaming-Knowledge-Bases</link>
  <description><![CDATA[A knowledge base can be thought of as a special kind of database for knowledge management.
It provides the means for computerized collection, organization and retrieval
of knowledge. Due to growth in deployment of sensors, we encounter many scenarios
where data is constantly flowing between sensors and applications. The volume of data
produced is large, so is the rate of the data-flow. In such scenarios, knowledge extraction
boils down to finding useful information i.e. detecting events ...]]></description>
  <dc:date>2007-08-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/202/Using-an-RDF-Framework-to-Carry-Metadata-for-Climate-Datasets">
  <title><![CDATA[Using an RDF Framework to Carry Metadata for Climate Datasets]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/202/Using-an-RDF-Framework-to-Carry-Metadata-for-Climate-Datasets</link>
  <description><![CDATA[The standards underlying the Semantic Web -- Resource Description
Framework (RDF) and Web Ontology Language (OWL) -- show great
promise in addressing some of the basic problems in earth science
metadata. They provide a framework for explicitly describing the
data models implicit in programs that display and manipulate
data. They also provide a framework where multiple metadata
standards can be described. Most importantly, these data models
and metadata standards can be interrelated, a ...]]></description>
  <dc:date>2007-04-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/165/Semantically-Linked-Bayesian-Networks-A-Framework-for-Probabilistic-Inference-Over-Multiple-Bayesian-Networks">
  <title><![CDATA[Semantically-Linked Bayesian Networks: A Framework for Probabilistic Inference Over Multiple Bayesian Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/165/Semantically-Linked-Bayesian-Networks-A-Framework-for-Probabilistic-Inference-Over-Multiple-Bayesian-Networks</link>
  <description><![CDATA[At the present time, Bayesian networks (BNs), presumably the most popular uncertainty inference framework, are still widely used as standalone systems. When the problem itself is distributed, domain knowledge has to be centralized and unified before a single BN can be created. Alternatively, separate BNs describing related sub-domains or different aspects of the same domain may be created, but it is difficult to combine them for problem solving even if the interdependent relations between var...]]></description>
  <dc:date>2006-08-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/164/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/164/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form.

As the volume of Semantic Web data grows software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to per...]]></description>
  <dc:date>2006-07-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/137/Embedded-Semantic-Markup-Microformats-RDF-and-GRDDL">
  <title><![CDATA[Embedded Semantic Markup: Microformats, RDF, and GRDDL]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/137/Embedded-Semantic-Markup-Microformats-RDF-and-GRDDL</link>
  <description><![CDATA[Microformats are a way to embed semantics within XHTML documents
using, primarily, the 'class', 'rel', and 'rev' attributes. The microformat
approach encompasses a set of principles
intended to conduce a semantic web that evolves out of the current
web/web 2.0, without requiring dramatic changes in markup
practices. We will look at some examples of microformats; contrast the
microformat approach with embedded RDF; examine how both relate to GRDDL; and, finally,
explore the possibility ...]]></description>
  <dc:date>2006-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/120/Semantic-Web-2-0">
  <title><![CDATA[Semantic Web 2.0]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/120/Semantic-Web-2-0</link>
  <description><![CDATA[We'll brainstorm about ideas for Web 2.0 applications
that use RDF data.  The AJAX paradigm is a key
characteristic of Web 2.0 applications and is a good fit for driving
web applications using RDF data. Here's an overview presentation
and there are some exmples here and here.  Anubhav Kale will start with a brief
introduction to AJAX and we will spend the rest of the time exploring
ideas.   Note that we will start at 9:30 instead of our usual 10:30
so that students can go to the GE eve...]]></description>
  <dc:date>2005-11-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/75/PhD-proposal-On-Boosting-Semantic-Web-Data-Access">
  <title><![CDATA[PhD proposal: On Boosting Semantic Web Data Access]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/75/PhD-proposal-On-Boosting-Semantic-Web-Data-Access</link>
  <description><![CDATA[The Semantic Web can be viewed as a collection of RDF graphs serialized by RDF documents that distributed in the Web. Its utility depends on three issues: availability (existence of data), accessibility (users can retrieve the data they want), and quality (users can judge the quality of the retrieved data). While more data are available in the Semantic Web, the latter two issues are often ignored or circumscribed due to lacking of tools and mechanisms. This dissertation proposes an ontology-b...]]></description>
  <dc:date>2005-01-19</dc:date>
 </item>
</rdf:RDF>

