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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
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=linked+data">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=linked+data]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for linked data]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/439/Cluster-based-Instance-Consolidation-For-Subsequent-Matching"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/423/Linked-Data-for-the-Rest-of-Us"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/404/MD-Semantic-Web-Meetup-semantic-integration-frameworks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/102/MGI-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/101/MTLD-Interpreting-Medical-Tables-as-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/96/Tables-to-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/749/Semantic-Interpretation-of-Structured-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/708/Querying-Large-Linked-Data-Resources"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/714/Topic-Modeling-for-RDF-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/709/Mobipedia-Mobile-Applications-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/689/Ontology-Pattern-Modeling-for-Cross-Repository-Data-Integration-in-the-Ocean-Sciences-The-Oceanographic-Cruise-Example"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/700/UMBC_Ebiquity-SFQ-Schema-Free-Querying-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/692/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/333/Automatically-Generating-Linked-Data-from-Tables"/>
      <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/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/315/Generating-Linked-Data-by-inferring-the-semantics-of-tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/316/Generating-Linked-Data-by-inferring-the-semantics-of-tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/321/Generating-Linked-Data-by-inferring-the-semantics-of-tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/337/Linked-Data-for-the-Rest-of-Us"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/338/LOD-for-the-rest-of-us"/>
      <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/294/Tables-to-Linked-Data"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs">
  <title><![CDATA[Topic Modeling for RDF Graphs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs</link>
  <description><![CDATA[Topic models are widely used to thematically describe a collection of
text documents and have become an important technique for systems that
measure document similarity for classification, clustering,
segmentation, entity linking and more.  While they have been applied
to some non-text domains, their use for semi-structured graph data,
such as RDF, has been less explored.  We present a framework for
applying topic modeling to RDF graph data and describe how it can be
used in a number o...]]></description>
  <dc:date>2015-09-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables">
  <title><![CDATA[TABEL -- A Domain Independent and Extensible Framework for Inferring the Semantics of Tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables</link>
  <description><![CDATA[ 

 Dissertation Defense

Tables are an integral part of documents, reports and Web pages in many scientific and technical domains, compactly encoding important information that can be difficult to express in text. Table-like structures outside documents, such as spreadsheets, CSV files, log files and databases, are widely used to represent and share information. However, tables remain beyond the scope of regular text processing systems which often treat them like free text.

This ...]]></description>
  <dc:date>2015-01-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes">
  <title><![CDATA[Infoboxer: Using Statistical and Semantic Knowledge to Help Create Wikipedia Infoboxes]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes</link>
  <description><![CDATA[Wikipedia infoboxes serve as input in the creation of knowledge bases
such as DBpedia, Yago, and Freebase. Current creation of Wikipedia
infoboxes is manual and based on templates that are created and
maintained collaboratively.  However, these templates pose several
challenges:



Different communities use different infobox templates for the same category articles

Attribute names differ (e.g., date of birth vs. birthdate)

Templates are restricted to a single category, mak...]]></description>
  <dc:date>2014-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text">
  <title><![CDATA[Extracting cybersecurity related entities, terms and concepts from text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text</link>
  <description><![CDATA[Securing computers, data, cyber-physical systems and networks is a growing problem as society&#39;s dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating &#39;situationally aware&#39; computer systems that defend against new &quot;zero day&quot; software vulnerabilities requires them to automatically integrate and use new security-related data from a wide variety of sources. One important source is information found in text fr...]]></description>
  <dc:date>2013-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-">
  <title><![CDATA[Generating Linked Data from Tables.]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/447/Generating-Linked-Data-from-Tables-</link>
  <description><![CDATA[Large amounts of information is stored in tables, spreadsheets, CSV files and databases for a number of domains, including the Web, healthcare, e-science and public policy. The tables' structure facilitates human understanding, yet this very structure makes it difficult for machine understanding. This talk will focus on describing our work on making the intended meaning of tabular data explicit by representing it as RDF linked data, potentially making large amounts of scientific and medical d...]]></description>
  <dc:date>2013-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability">
  <title><![CDATA[An architecture for enterprise information interoperability]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability</link>
  <description><![CDATA[The World Wide Web differed from other early hypertext systems in the removal of "back links" (the ability of a hyperlinked object to link back to a referring resource). The removal of back links allowed the scalability inherent in the Web's design, but sacrificed the knowledge necessary to update links when content moved. Persistent URLs (PURLs) have been used on the Web since 1995 to provide an inexpensive and partial solution to link updates via HTTP redirection: PURLs do not change thei...]]></description>
  <dc:date>2012-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/439/Cluster-based-Instance-Consolidation-For-Subsequent-Matching">
  <title><![CDATA[Cluster-based Instance Consolidation For Subsequent Matching]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/439/Cluster-based-Instance-Consolidation-For-Subsequent-Matching</link>
  <description><![CDATA[In this week's lab meeting Jennifer Sleaman will present "Cluster-based Instance Consolidation For Subsequent Matching"

Instance consolidation is a way to merge instances that are thought to be the same or closely related that can be used to support coreference resolution and entity linking. For Semantic Web data, consolidating instances can be as simple as relating instances using owl:sameAs, as is the case in linked data, or merging instances that could then be used to populate or enrich...]]></description>
  <dc:date>2012-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/423/Linked-Data-for-the-Rest-of-Us">
  <title><![CDATA[Linked Data for the Rest of Us]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/423/Linked-Data-for-the-Rest-of-Us</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>2012-01-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup">
  <title><![CDATA[Semantic Web Meetup]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/417/Semantic-Web-Meetup</link>
  <description><![CDATA[The UMBC Ebiquity Lab is hosting the November meeting of the Lotico Central Maryland Semantic Web Meetup from 6:00-8:00 pm in room 456 of the ITE building (directions).  All are welcome.  If you want to attend, please join the  Central MD Semantic Web Meetup group and RSVP.  The meeting will start with a pizza social from 6:00pm to 6:45pm and then continue with a series of short presentations of current Semantic Web research being done in our lab.

  Tim Finin: introduction and overview

...]]></description>
  <dc:date>2011-11-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/404/MD-Semantic-Web-Meetup-semantic-integration-frameworks">
  <title><![CDATA[MD Semantic Web Meetup: semantic integration frameworks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/404/MD-Semantic-Web-Meetup-semantic-integration-frameworks</link>
  <description><![CDATA[Dean Allemang, Chief Scientist at Top Braid, will talk about semantic integration frameworks.

Five steps to build a semantic integration framework to support a
federated query environment through two working illustrations. First,
Dean outlines a project to integrate several large datasets in service
of drug discovery from both internal and public sources (e.g.,
bio2rdf).  The result is a "linked data cloud", where adding new
datasets is as easy as describing them. Secondly, Dean detai...]]></description>
  <dc:date>2011-09-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/102/MGI-Semantic-Data">
  <title><![CDATA[MGI Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/102/MGI-Semantic-Data</link>
  <description><![CDATA[The Materials Genome Initiative can benefit from the development and use of ontologies and semantic data representations for the materials science and engineering domain. These can play an important role in an infrastructure that will accelerate advanced materials discovery and deployment.  Specifically, they will support better and more intelligent data management, analysis, integration, and sharing.  Together, these new semantic capabilities will help to leverage existing Federal investment...]]></description>
  <dc:date>2013-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/101/MTLD-Interpreting-Medical-Tables-as-Linked-Data">
  <title><![CDATA[MTLD: Interpreting Medical Tables as Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/101/MTLD-Interpreting-Medical-Tables-as-Linked-Data</link>
  <description><![CDATA[Evidence-based medicine is the application of current medical evidence
to patient care and typically uses quantitative data from research
studies.  It is increasingly driven by data on the efficacy of drug
dosages and the correlation between various medical factors that is
assembled and integrated through meta--analyses (i.e., systematic
reviews) of data in tables from publications and clinical trial
studies.  We describe a a key component of a system to produce
evidence reports that p...]]></description>
  <dc:date>2014-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data">
  <title><![CDATA[Policy Compliant Integration of Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/99/Policy-Compliant-Integration-of-Linked-Data</link>
  <description><![CDATA[Tim Finin and Anupam Joshi have received a $400,000 research award from the NSF Secure and Trustworthy  Cyberspace (SaTC) program  for a three year project to investigate how to better manage security and privacy constraints while querying semantically annotated linked data sources.  The project, Policy Compliant Integration of Linked Data, is a collaboration with researchers at M.I.T. and the University of Texas at Dallas.

The ubiquity of computing technology and the Internet have created...]]></description>
  <dc:date>2012-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/96/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/96/Tables-to-Linked-Data</link>
  <description><![CDATA[Vast amounts of information is encoded in tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning and making it explicit in a semantic representation language like RDF. Most current approaches to generating Semantic Web representations from tables requires human input to create schemas and often results in graphs that do not follow best practices for linked data. Evidence for a tab...]]></description>
  <dc:date>2010-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/749/Semantic-Interpretation-of-Structured-Log-Files">
  <title><![CDATA[Semantic Interpretation of Structured Log Files]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/749/Semantic-Interpretation-of-Structured-Log-Files</link>
  <description><![CDATA[Data from computer log files record traces of events involving user activity, applications, system software and network traffic. Logs are usually intended for diagnostic and debugging purposes, but their data can be extremely useful in system audits and forensic investigations. Logs created by intrusion detection systems, web servers, anti-virus and anti-malware systems, firewalls and network devices have information that can reconstruct the activities of malware or a malicious agent, help pl...]]></description>
  <dc:date>2016-07-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/708/Querying-Large-Linked-Data-Resources">
  <title><![CDATA[Querying Large Linked Data Resources]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/708/Querying-Large-Linked-Data-Resources</link>
  <description><![CDATA[. Exploring large complex linked data resources is challenging as it requires not only mastering SPARQL syntax and semantics but also understanding the RDF data model and large ontology vocabularies comprising of thousands of classes, hundreds of properties and millions of URIs for instances of interest. Natural language question answering systems solve the problem, but these are still subjects of research. We describe a compromise in which non-experts specify a graphical query ‘skeleton’...]]></description>
  <dc:date>2015-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud">
  <title><![CDATA[Building a Mobile Applications Knowledge Base for the Linked Data Cloud]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/710/Building-a-Mobile-Applications-Knowledge-Base-for-the-Linked-Data-Cloud</link>
  <description><![CDATA[The number of mobile applications (apps) in major app stores exceeded one million in 2013. While app stores provide a central point for storing app metadata, they often impose restrictions on the access to this information thus limiting the potential to develop tools to search, recommend, and analyze app information. A few projects have circumvented these limitations and managed to create a dataset with a substantial number of apps. However, accessing this information, especially for the purp...]]></description>
  <dc:date>2015-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/714/Topic-Modeling-for-RDF-Graphs">
  <title><![CDATA[Topic Modeling for RDF Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/714/Topic-Modeling-for-RDF-Graphs</link>
  <description><![CDATA[Topic models are widely used to thematically describe a collection of text documents and have become an important technique for systems that measure document similarity for classification, clustering, segmentation, entity linking, and more.  While they have been applied to some non-text domains, their use for semi-structured graph data, such as RDF, has been less explored.  We present a framework for applying topic modeling to RDF graph data and describe how it can be used in a number of link...]]></description>
  <dc:date>2015-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/709/Mobipedia-Mobile-Applications-Linked-Data">
  <title><![CDATA[Mobipedia: Mobile Applications Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/709/Mobipedia-Mobile-Applications-Linked-Data</link>
  <description><![CDATA[We present Mobipedia, an integrated knowledge base with information about 1 million mobile applications (apps) such as their category, meta-data (author, reviews, rating, release date), permissions and libraries used, and similar apps. The goal of Mobipedia is to integrate unstructured and semi-structured data about mobile apps from publicly available data sources and publish it as Linked Data using RDF. We describe the extraction process for facts, access mechanisms to the knowledge base, an...]]></description>
  <dc:date>2015-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files">
  <title><![CDATA[Semantic Interpretation of Structured Log Files]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files</link>
  <description><![CDATA[Log files comprise a record of different events happening in various applications, operating systems and even in network devices. Originally they were used to record in- formation for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or sys- tems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices gene...]]></description>
  <dc:date>2015-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/689/Ontology-Pattern-Modeling-for-Cross-Repository-Data-Integration-in-the-Ocean-Sciences-The-Oceanographic-Cruise-Example">
  <title><![CDATA[Ontology Pattern Modeling for Cross-Repository Data Integration in the Ocean Sciences: The Oceanographic Cruise Example]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/689/Ontology-Pattern-Modeling-for-Cross-Repository-Data-Integration-in-the-Ocean-Sciences-The-Oceanographic-Cruise-Example</link>
  <description><![CDATA[EarthCube is a major effort of the National Science Foundation to establish a next-generation knowledge architecture for the broader geosciences.  Data storage, retrieval, access, and reuse are central parts of this new effort.  Currently, EarthCube is organized around several building blocks and research coordination networks. OceanLink is a semantics-enabled building block that aims at improving data retrieval and reuse via ontologies, Semantic Web technologies, and Linked Data for the oce...]]></description>
  <dc:date>2015-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/700/UMBC_Ebiquity-SFQ-Schema-Free-Querying-System">
  <title><![CDATA[UMBC_Ebiquity-SFQ: Schema Free Querying System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/700/UMBC_Ebiquity-SFQ-Schema-Free-Querying-System</link>
  <description><![CDATA[Users need better ways to explore large, complex linked data resources. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology, and URIs for entities of interest. Natural language question answering systems solve the problem, but these are still subjects of research. The schema-agnostic SPARQL queries task defined in the SAQ-2015 challenge consists of schema-agnostic queries following the syntax of the SPARQL standard, where t...]]></description>
  <dc:date>2015-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data">
  <title><![CDATA[Discovering and Querying Hybrid Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data</link>
  <description><![CDATA[In this paper, we present a unified framework for discovering and querying hybrid linked data. We describe our approach to developing a natural language query interface for a hybrid knowledge base, Wikitology, and present it as a case study for accessing hybrid information sources that include both structured and unstructured data through natural language queries. We evaluate our system on a publicly available dataset and demonstrate improvements over a baseline system.  We describe limitatio...]]></description>
  <dc:date>2015-05-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/692/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables">
  <title><![CDATA[TABEL - A Domain Independent and Extensible Framework for Inferring the Semantics of Tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/692/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables</link>
  <description><![CDATA[Tables are an integral part of documents, reports and Web pages, compactly encoding important information that can be difficult to express in text. Table like structures outside documents, such as spreadsheets, CSV files, log files and databases, are widely used to represent and share information. Many scientific and technical domains use tables to compactly depict information which is difficult to express in text. However, tables remain beyond the scope of regular text processing systems whi...]]></description>
  <dc:date>2015-01-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/333/Automatically-Generating-Linked-Data-from-Tables">
  <title><![CDATA[Automatically Generating Linked Data from Tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/333/Automatically-Generating-Linked-Data-from-Tables</link>
  <description><![CDATA[Evidence for a table’s meaning can be found in its metadata but currently requires human interpretation. We describe techniques grounded in graphical models and probabilistic reasoning to infer meaning associated with a table. Using background knowledge from the Linked Open Data cloud, we automatically infer the semantics of column headers, table cell values (e.g., strings and numbers) and relations between columns and represent the inferred meaning as graph of RDF triples.]]></description>
  <dc:date>2011-11-15</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/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-">
  <title><![CDATA[Extracting Cybersecurity related entities, terms and concepts from text.]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-</link>
  <description><![CDATA[MS Thesis Presentation

Securing computers, data, cyber-physical systems and networks is a growing problem as society's dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating 'situationally aware' computer systems that defend against new "zero day" software vulnerabilities requires them to automatically integrate and use new security-related data from a wide variety of sources. One important source is information found in tex...]]></description>
  <dc:date>2013-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/315/Generating-Linked-Data-by-inferring-the-semantics-of-tables">
  <title><![CDATA[Generating Linked Data by inferring the semantics of tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/315/Generating-Linked-Data-by-inferring-the-semantics-of-tables</link>
  <dc:date>2011-05-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/316/Generating-Linked-Data-by-inferring-the-semantics-of-tables">
  <title><![CDATA[Generating Linked Data by inferring the semantics of tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/316/Generating-Linked-Data-by-inferring-the-semantics-of-tables</link>
  <description><![CDATA[A vast amount of information is encoded in tables on the web, spreadsheets and databases. Considerable work has been focused on exploiting unstructured free text; however techniques that are effective for documents and free text do not work well with tables. Early work in table interpretation in the field of document analysis and later on the Web, focused mainly on understanding and extracting tables from scanned documents and html web pages. Relatively little work has addressed the understan...]]></description>
  <dc:date>2011-05-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/321/Generating-Linked-Data-by-inferring-the-semantics-of-tables">
  <title><![CDATA[Generating Linked Data by inferring the semantics of tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/321/Generating-Linked-Data-by-inferring-the-semantics-of-tables</link>
  <description><![CDATA[Vast amounts of information is encoded in structured tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning. Evidence for a table's meaning can be found in its column headers, cell values, implicit relations between columns, caption and surrounding text but also requires general and domain-specific background knowledge. We represent a table's meaning by mapping columns to classes ...]]></description>
  <dc:date>2011-09-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/337/Linked-Data-for-the-Rest-of-Us">
  <title><![CDATA[Linked Data for the Rest of Us]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/337/Linked-Data-for-the-Rest-of-Us</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>2012-01-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/338/LOD-for-the-rest-of-us">
  <title><![CDATA[LOD for the rest of us]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/338/LOD-for-the-rest-of-us</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 presentation will touch on some cu...]]></description>
  <dc:date>2012-03-13</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/294/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/294/Tables-to-Linked-Data</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents
like spreadsheets, database relations and tables in documents found
on the Web and in print.  The information in these tables might be
much more valuable if it could be appropriately exported or encoded in
RDF, making it easier to share, understand and integrate with other
information.  This is especially true if it could be linked into the
growing linked data cloud.  We describe techniques to automatically
infer a (p...]]></description>
  <dc:date>2010-04-06</dc:date>
 </item>
</rdf:RDF>
