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<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=search+engine">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=search+engine]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for search engine]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/454/The-Semantic-Web-there-and-back-again"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/368/Text-Based-Similarity-Metrics-and-Deltas-for-Semantic-Web-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/350/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/342/Cost-Sensitive-Information-Acquisition-for-Prediction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/310/Problems-in-Semantic-Search"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/293/Semantic-Web-Search-Engines-Research-problems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/258/Policy-Based-Safe-Interactive-access-framework-for-Web-search-logs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/240/The-Comparison-of-Online-Social-Networks-in-Terms-of-Structure-and-Evolution"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/228/Predicting-Appropriate-Semantic-Web-Terms-from-Words"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/35/Swoogle-2006-released"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/20/OWLIR-Information-Retrieval-On-The-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/69/SemNews"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/53/Swoogle"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/81/Twitterment"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/910/Joint-Models-to-Refine-Knowledge-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/871/Joint-Models-to-Refine-Knowledge-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/663/Ontology-Based-Dynamic-Forms-for-Manufacturing-Capability-Information-Collection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/504/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs"/>
      <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/497/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/464/Applying-Differential-Privacy-to-Search-Queries-in-a-Policy-Based-Interactive-Framework"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset"/>
      <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/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/223/Finding-Data-Knowledge-and-Answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/183/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/202/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
      <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/175/Increasing-Research-Visibility-on-the-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/209/Information-Integration-and-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/195/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/178/Search-Engines-for-Semantic-Web-Knowledge"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/179/Searching-for-Knowledge-and-Data-on-the-Semantic-Web"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/454/The-Semantic-Web-there-and-back-again">
  <title><![CDATA[The Semantic Web: there and back again]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/454/The-Semantic-Web-there-and-back-again</link>
  <description><![CDATA[The Web has made us all smarter by providing ubiquitous and easy access to virtually all human knowledge. Most of the knowledge is encoded as text, images or videos -- representations that people can easily process, understand and use but which still are difficult for machines. Making this knowledge more accessible to machines will unleash new and more intelligent computer applications and systems. Enabling computers to fully understand text, images and videos is a long term goal that will re...]]></description>
  <dc:date>2013-04-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/368/Text-Based-Similarity-Metrics-and-Deltas-for-Semantic-Web-Graphs">
  <title><![CDATA[Text Based Similarity Metrics and Deltas for Semantic Web Graphs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/368/Text-Based-Similarity-Metrics-and-Deltas-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. I will describe several text-based similarity metrics that characterize the relation between Semantic Web graphs and evaluate these metrics for three specific cases of similarity: similarity in classes and properties, similarity disregarding differences in base-URIs, and versioning relationshi...]]></description>
  <dc:date>2010-10-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/350/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/event/html/id/350/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...]]></description>
  <dc:date>2010-06-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/342/Cost-Sensitive-Information-Acquisition-for-Prediction">
  <title><![CDATA[Cost-Sensitive Information Acquisition for Prediction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/342/Cost-Sensitive-Information-Acquisition-for-Prediction</link>
  <description><![CDATA[Machine learning systems have been increasingly used in our day-to-day
activities now. Just a few examples include handwritten character
recognition systems, product recommendation systems, face detection
features of cameras, speech recognition in hands-free devices, document
ranking by search engines, fraudulent activity detection for credit card
transactions, spam detection, and medical diagnosis. A critical
component of a machine learning system is the "information" needed to
develo...]]></description>
  <dc:date>2010-04-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research">
  <title><![CDATA[We KnowItAll: lessons from a Quarter Century  of Web Extraction Research]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/325/We-KnowItAll-lessons-from-a-Quarter-Century-of-Web-Extraction-Research</link>
  <description><![CDATA[For the last quarter century (measured in person years), the KnowItAll project has investigated information extraction at Web scale. If successful, this effort will begin to address the long-standing "Knowledge Acquisition Bottleneck" in Artificial Intelligence, and will enable a new generation of search engines that extract and synthesize information from text to answer complex user queries. To date, we have generalized information extraction methods to process arbitrary Web text, to handle ...]]></description>
  <dc:date>2009-11-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/310/Problems-in-Semantic-Search">
  <title><![CDATA[Problems in Semantic Search]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/310/Problems-in-Semantic-Search</link>
  <description><![CDATA[Swoogle is UMBC’s home grown semantic web search engine. It crawls the web for Semantic Web documents.


Varish Mulwad and Krishnamurthy Koduvayur Viswanathan  will start the talk with a description of how Swoogle works. We will also take a some other semantic web search engines: Sindice, Watson, Falcon and SWSE. We will end the session by talking about a couple of ideas to improve Swoogle.


Participate remotely via dimdim.]]></description>
  <dc:date>2009-09-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/293/Semantic-Web-Search-Engines-Research-problems">
  <title><![CDATA[Semantic Web Search Engines: Research problems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/293/Semantic-Web-Search-Engines-Research-problems</link>
  <description><![CDATA[Varish Mulwad will present an overview on "Semantic Web Search Engines: Research problems" in this week's ebiquity meeting (10:00am Wednesday 4/15/2009, ITE325b).  Here's the abstract.

Today's traditional Information retrieval systems are not "intelligent" enough to retrieve the data on the Semantic Web. Thus there is a need for specialized search engines which can search the Semantic Web.

This week's talk will cover a number of Semantic Web search engines which include Swoogle, Sindice...]]></description>
  <dc:date>2009-04-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/258/Policy-Based-Safe-Interactive-access-framework-for-Web-search-logs">
  <title><![CDATA[Policy Based Safe Interactive access framework for Web search logs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/258/Policy-Based-Safe-Interactive-access-framework-for-Web-search-logs</link>
  <description><![CDATA[Web search logs are of growing importance to researchers for a variety of
reasons such as understanding search behaviour, search engine performance
etc. However, search logs may contain a lot of private information about the
users and therefore must be released with care. In this talk, we will review
existing approaches to releasing log information and the ensuing trade-off
between privacy and utility. We will then describe our proposed policy based
safe interactive access framework for...]]></description>
  <dc:date>2008-09-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/240/The-Comparison-of-Online-Social-Networks-in-Terms-of-Structure-and-Evolution">
  <title><![CDATA[The Comparison of Online Social Networks in Terms of Structure and Evolution]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/240/The-Comparison-of-Online-Social-Networks-in-Terms-of-Structure-and-Evolution</link>
  <description><![CDATA[Social network systems on the Internet, such MySpace and LinkedIn, are 
growing in popularity around the world.  The level of such activity is 
now comparable to that associated with email and blogs.  Our research 
addresses the question of whether people in different demographic groups 
use these systems in the same way.  We also examined the relationship 
between membership in on-line social networks and face-to-face networks, 
  especially with respect to different age cohorts.  Olde...]]></description>
  <dc:date>2008-05-01</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/getnews/html/id/35/Swoogle-2006-released">
  <title><![CDATA[Swoogle 2006 released]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/35/Swoogle-2006-released</link>
  <description><![CDATA[Swoogle 2006 is a a major
new version of Swoogle, a search engine for the Semantic Web.
Swoogle helps knowledge engineers and software agents find
knowledge on the web encoded in the semantic web languages RDF
and OWL.  It crawls the Web looking for documents that consists
of RDF or have embedded RDF within them.  USing Swoogle, people
and agents can discover Semantic Web ontologies, terms and data.

 Swoogle 2005 is a nearly complete rewrite of Swoogle Classic, which
now answers to ...]]></description>
  <dc:date>2006-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web">
  <title><![CDATA[SemNews: news text to Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/33/SemNews-news-text-to-Semantic-Web</link>
  <description><![CDATA[SemNews Understands the News 

 Prototype UMBC system interprets online news stories  and  publishes text meaning on the Semantic Web

      SemNews is a prototype
application being developed by UMBC Ph.D. student Akshay Java that
uses a sophisticated text understanding system to interpret summaries
of news stories, publishes the results on the semantic web and
provides browsing and query services over them.  The project is the
result of a collaboration between the UMBC's Institute ...]]></description>
  <dc:date>2006-01-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere">
  <title><![CDATA[Welcome to the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere</link>
  <description><![CDATA[Welcome to the Splogosphere!

UMBC study estimates that 75% of posts to English language weblogs are spam


Baltimore, December 16, 2005

 A weblog monitoring system developed by UMBC Ph.D. student Pranam
Kolari shows that a new form of spam -- spam blogs or splogs --
has quickly become a serious problem. 

 Splogs are "fake"
weblog sites that have been set up to carry paid advertisements,
promote affiliated web sites by increasing their PageRank, and to get
new sites noti...]]></description>
  <dc:date>2005-12-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks">
  <title><![CDATA[DAML / ITTalks]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/8/DAML-ITTalks</link>
  <description><![CDATA[DAML Tools for supporting Intelligent Information Annotation, Sharing and RetrievalWith the vast quantity of information now available on the Internet, there is a need to manage this information by marking it with a semantic language, such as DARPA Agent Markup Language (DAML), and using intelligent search engines and other tools, in conjunction with ontology-based matching, to provide better search results and data manipulation capabilities. The aim of the semantic web is to make the current...]]></description>
  <dc:date>2000-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/20/OWLIR-Information-Retrieval-On-The-Semantic-Web">
  <title><![CDATA[OWLIR: Information Retrieval On The Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/20/OWLIR-Information-Retrieval-On-The-Semantic-Web</link>
  <description><![CDATA[Information in the web is presented in human understandable form
  .Current search engines operate on huge databases and the
  information retrieval techniques are keyword based indexes on
  Textual Data.So,not all retrieved documents answer a user's query
  and is limited in its automated inference capability.
We envision the future web as pages containing both text and
semantic markup.We describe an approach for information retrieval over
documents that consist of both free text an...]]></description>
  <dc:date>2000-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/69/SemNews">
  <title><![CDATA[SemNews]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/69/SemNews</link>
  <description><![CDATA[SemNews monitors different RSS News Sources and provides a structured representation of the meaning of the news. The meaning is extracted using OntoSem, a Natural Language Processing system that uses a constructed world model or an Ontology.

The extracted meaning from the RSS descriptions of the news articles are then converted into Semantic Web representation such as RDF. This is also stored in a Redland Triple store and lets users perform semantic queries over the documents. This enables...]]></description>
  <dc:date>2005-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/53/Swoogle">
  <title><![CDATA[Swoogle]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/53/Swoogle</link>
  <description><![CDATA[Swoogle (http://swoogle.umbc.edu/) is an specialized web
search engine that discovers, analyzes and indexes knowledge
encoded in semantic web documents published on the
Web. Swoogle reasons about these documents and their
constituent parts (e.g., terms, individuals, 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 an...]]></description>
  <dc:date>2004-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/81/Twitterment">
  <title><![CDATA[Twitterment]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/81/Twitterment</link>
  <description><![CDATA[Twitterment is a search engine for the Twitter microblogging system.]]></description>
  <dc:date>2007-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization">
  <title><![CDATA[Web/Data Mining and Personalization]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/17/Web-Data-Mining-and-Personalization</link>
  <description><![CDATA[The evolution of the Internet into the Global Information Infrastructure, coupled with the immense
    popularity of the Web, has also enabled the ordinary citizen to become not just a consumer of information, but also its
    disseminator. The Web, then, is becoming the apocryphal Vox Populi. Given that there is this vast and ever growing
    amount of information, how does the average user quickly find what s/he is looking for -- a task in which the present
    day search engines don'...]]></description>
  <dc:date>1999-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence">
  <title><![CDATA[Knowledge-Embedded Narrative Construction from Open Source Intelligence]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence</link>
  <description><![CDATA[Storytelling is an innate part of language-based communication. Today, current events are reported via Open Source Intelligence (OSINT) sources like news websites, blogs, and discussion forums. Scattered and fragmented sources such as these can be better understood when organized as chains of event plot points, or narratives, that have the ability to communicate end to end stories. Though search engines can retrieve aggregated event information, they lack the ability to sequence relevant even...]]></description>
  <dc:date>2023-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/910/Joint-Models-to-Refine-Knowledge-Graphs">
  <title><![CDATA[Joint Models to Refine Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/910/Joint-Models-to-Refine-Knowledge-Graphs</link>
  <description><![CDATA[A knowledge graph can be viewed as a structural representation of beliefs with nodes and edges in which the nodes represent real-world entities or events and the edges are relations believed to hold between pairs of entities. Multiple levels of processes are involved in extracting such knowledge graphs from natural language text, starting with reading and understanding the text, then constructing a graph of the entities found and the relations between them, and inferring missing relations tha...]]></description>
  <dc:date>2019-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/871/Joint-Models-to-Refine-Knowledge-Graphs">
  <title><![CDATA[Joint Models to Refine Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/871/Joint-Models-to-Refine-Knowledge-Graphs</link>
  <description><![CDATA[A knowledge graph can be viewed as a structural representation of beliefs with nodes and edges in which the nodes represent real-world entities or events and the edges are relations believed to hold between pairs of entities. Multiple levels of processes are involved in extracting such knowledge graphs from natural language text, starting with reading and understanding the text, then constructing a graph of the entities found and the relations between them, and inferring missing relations tha...]]></description>
  <dc:date>2019-10-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/663/Ontology-Based-Dynamic-Forms-for-Manufacturing-Capability-Information-Collection">
  <title><![CDATA[Ontology-Based Dynamic Forms for Manufacturing Capability Information Collection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/663/Ontology-Based-Dynamic-Forms-for-Manufacturing-Capability-Information-Collection</link>
  <description><![CDATA[Building flexible manufacturing supply chains requires availability of interoperable and accurate manufacturing service capability (MSC) information. These requirements can be met by encoding the MSC information using shared domain ontologies. However, difficulty in understanding the syntax and semantics of the shared ontologies hinders the adoption of such ontology-based approach. In this paper, we propose an Ontology-based eXtensible Dynamic Form (OXDF) user interface architecture to assist...]]></description>
  <dc:date>2013-09-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/504/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/paper/html/id/504/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 several text-based similarity metrics that characterize the relation between Semantic Web graphs and evaluate these metrics for three specialc cases of similarity: similarity in classes and properties, similarity disregarding differences in base-URIs, and versioning relation- ship....]]></description>
  <dc:date>2010-11-07</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/497/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/paper/html/id/497/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>2010-06-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/464/Applying-Differential-Privacy-to-Search-Queries-in-a-Policy-Based-Interactive-Framework">
  <title><![CDATA[Applying Differential Privacy to Search Queries in a Policy Based Interactive Framework]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/464/Applying-Differential-Privacy-to-Search-Queries-in-a-Policy-Based-Interactive-Framework</link>
  <description><![CDATA[Web search logs are of growing importance to researchers as they
help understanding search behavior and search engine
performance. However, search logs typically contain sensitive
information about users and therefore considerable caution must be exercised when considering releasing the logs to the research community. Current approaches to releasing search logs focus on
either protecting the privacy of users or enhancing the utility of
data to researchers. In this work, we address the pr...]]></description>
  <dc:date>2009-11-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset">
  <title><![CDATA[The ICWSM 2009 Spinn3r Dataset]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset</link>
  <description><![CDATA[The dataset, provided by Spinn3r.com, is a set of 44 million blog posts made between August 1st and October 1st, 2008. The post includes the text as syndicated, as well as metadata such as the blog's homepage, timestamps, etc. The data is formatted in XML and is further arranged into tiers approximating to some degree search engine ranking. The total size of the dataset is 142 GB uncompressed, (27 GB compressed). 
This dataset spans a number of big news events (the Olympics; both US presiden...]]></description>
  <dc:date>2009-05-17</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/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach</link>
  <description><![CDATA[Weblogs or blogs are an important new way to publish information, engage in discussions, and form communities on the Internet. The Blogosphere has unfortunately been infected by several varieties of spam-like content. Blog search engines, for example, are inundated by posts from splogs – false blogs with machine generated or hijacked content whose sole purpose is to host ads or raise the PageRank of target sites. We discuss how SVM models based on local and link-based features can be used t...]]></description>
  <dc:date>2006-07-16</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/202/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/202/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>2006-10-08</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/175/Increasing-Research-Visibility-on-the-Web">
  <title><![CDATA[Increasing Research Visibility on the Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/175/Increasing-Research-Visibility-on-the-Web</link>
  <description><![CDATA[Researchers should develop a presence on the Web to make their work more visible.  This presentation touches on some of the best practices and also a few or the worst. topics include web pages, blogs, putting papers on the Web, and search engine optimization.]]></description>
  <dc:date>2006-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/209/Information-Integration-and-the-Semantic-Web">
  <title><![CDATA[Information Integration and the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/209/Information-Integration-and-the-Semantic-Web</link>
  <description><![CDATA[This presentsation from the Information Integration Workshop describes the role that the Semantic Web can play in information integration and how the Swoogle Semantic Web search engine can help.  Examples from the NSF Spire project on ecoinformatics are used.]]></description>
  <dc:date>2006-10-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/195/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web">
  <title><![CDATA[Learning the Semantic Meaning of a Concept from the Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/195/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web</link>
  <description><![CDATA[Many researchers have applied text classification techniques to the ontology mapping problem. The mapping results in these researches heavily depend on the availability of highly relevant text exemplars associated with individual concepts. However, manual preparation of exemplars is costly. In this work, we propose to automatically collect text exemplars by downloading and processing web pages listed in the search results obtained by querying a search engine. Search queries are formed for eac...]]></description>
  <dc:date>2006-08-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/178/Search-Engines-for-Semantic-Web-Knowledge">
  <title><![CDATA[Search Engines for Semantic Web Knowledge]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/178/Search-Engines-for-Semantic-Web-Knowledge</link>
  <description><![CDATA[Web search engines like Google have made people “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 World-Wide Web Consortium's Semantic Web effort aims to make such knowledge more accessible to computer programs by encoding it on the Web in machine understandable form.  The W3C has developed the “markup language” RDF and its extension OWL as standards for expressing knowledge and data and build...]]></description>
  <dc:date>2006-05-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/179/Searching-for-Knowledge-and-Data-on-the-Semantic-Web">
  <title><![CDATA[Searching for Knowledge and Data  on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/179/Searching-for-Knowledge-and-Data-on-the-Semantic-Web</link>
  <description><![CDATA[Workshop on Humans and the Semantic Web, College Park, MD 2 June 2006.

Web search engines like Google have made people "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 World-Wide Web Consortium's Semantic Web effort aims to make such knowledge more accessible to computer programs by encoding it on the Web in machine understandable form. The W3C has developed the "markup language" RDF and its exten...]]></description>
  <dc:date>2006-06-02</dc:date>
 </item>
</rdf:RDF>
