<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
  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
  94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu/tag/linked data/">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/linked data/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <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/552/Automatically-Generating-Government-Linked-Data-from-Tables"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/551/DC-Proposal-Graphical-Models-and-Probabilistic-Reasoning-for-Generating-Linked-Data-from-Tables"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/535/Creating-and-Exploiting-a-Hybrid-Knowledge-Base-for-Linked-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/505/Using-linked-data-to-interpret-tables"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Data-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/480/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-Linked-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/474/Exploiting-a-Web-of-Semantic-Data-for-Interpreting-Tables"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/473/owl-sameAs-and-Linked-Data-An-Empirical-Study-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/485/What-Does-it-Mean-for-a-URI-to-Resolve-"/>
    <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/316/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/294/Tables-to-Linked-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables"/>
    <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/400/Generating-Linked-Data-by-inferring-the-semantics-of-tables"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/360/Using-linked-data-to-interpret-tables-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/351/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-linked-data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/340/Tables-to-Linked-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/336/URI-Resolution-in-Linked-Data-Browsers"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/216/Linked-Data"/>
   </rdf:Seq>
  </items>
 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <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/552/Automatically-Generating-Government-Linked-Data-from-Tables">
  <title><![CDATA[Automatically Generating Government Linked Data from Tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/552/Automatically-Generating-Government-Linked-Data-from-Tables</link>
  <description><![CDATA[Most open government data is encoded and published
in structured tables found in reports, on the Web, and in
spreadsheets or databases. Current approaches to generating
Semantic Web representations from such data requires
human input to create schemas and often results
in graphs that do not follow best practices for linked
data. 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 re...]]></description>
  <dc:date>2011-11-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/551/DC-Proposal-Graphical-Models-and-Probabilistic-Reasoning-for-Generating-Linked-Data-from-Tables">
  <title><![CDATA[DC Proposal: Graphical Models and Probabilistic Reasoning for Generating Linked Data from Tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/551/DC-Proposal-Graphical-Models-and-Probabilistic-Reasoning-for-Generating-Linked-Data-from-Tables</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 fo...]]></description>
  <dc:date>2011-10-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/535/Creating-and-Exploiting-a-Hybrid-Knowledge-Base-for-Linked-Data">
  <title><![CDATA[Creating and Exploiting a Hybrid Knowledge Base for Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/535/Creating-and-Exploiting-a-Hybrid-Knowledge-Base-for-Linked-Data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet protocols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet fully blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily. We will review the evo...]]></description>
  <dc:date>2011-04-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/505/Using-linked-data-to-interpret-tables">
  <title><![CDATA[Using linked data to interpret tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/505/Using-linked-data-to-interpret-tables</link>
  <description><![CDATA[Vast amounts of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. We describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpretation can be used to a...]]></description>
  <dc:date>2010-11-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Data-">
  <title><![CDATA[T2LD: Interpreting and Representing Tables as Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Data-</link>
  <description><![CDATA[We describe a framework and prototype system for interpreting tables and extracting entities and relations from them, and producing a linked data representation of the table’s contents. This can be used to annotate the table or to add new facts to the linked data collection.]]></description>
  <dc:date>2010-11-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/480/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-Linked-Data">
  <title><![CDATA[T2LD - An automatic framework for extracting, interpreting and representing tables as Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/480/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-Linked-Data</link>
  <description><![CDATA[We present an automatic framework for extracting, interpreting and generating linked data from tables. In the process of representing tables as linked data, we assign every column header a class label from an appropriate ontology, link table cells (if appropriate) to an entity from the Linked Open Data cloud and identify relations between various columns in the table, which helps us to build an overall interpretation of the table. Using the limited evidence provided by a table in the form of ...]]></description>
  <dc:date>2010-08-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/474/Exploiting-a-Web-of-Semantic-Data-for-Interpreting-Tables">
  <title><![CDATA[Exploiting a Web of Semantic Data for Interpreting Tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/474/Exploiting-a-Web-of-Semantic-Data-for-Interpreting-Tables</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 (part...]]></description>
  <dc:date>2010-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/473/owl-sameAs-and-Linked-Data-An-Empirical-Study-">
  <title><![CDATA[owl:sameAs and Linked Data: An Empirical Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/473/owl-sameAs-and-Linked-Data-An-Empirical-Study-</link>
  <description><![CDATA[Linked Data is a steadily growing presence on the Web. In Linked Data, the description of resources can be obtained incrementally by dereferencing the URIs of resources via the HTTP protocol. The use of owl:sameAs further enriches the Linked Data space by declaratively supporting distributed semantic data integration at the instance level. When consuming Linked Data, users should be careful when handling owl:sameAs: in that URIs linked by owl:sameAs may not be appropriate for simple aggregati...]]></description>
  <dc:date>2010-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/485/What-Does-it-Mean-for-a-URI-to-Resolve-">
  <title><![CDATA[What Does it Mean for a URI to Resolve?]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/485/What-Does-it-Mean-for-a-URI-to-Resolve-</link>
  <description><![CDATA[Amongst the best practices that constitute Linked Data, one of the foremost is to use only HTTP-URIs as identifiers for RDF resources. This is so that the URI will resolve in a Linked Data browser to give information about the named resource. 

At the same time, Linked Data takes a resource-centric, as opposed to page-centric, approach to resolution. We argue that this approach can, in certain cases, obviate the need for insisting on HTTP-URIs. As a use of our “expanded” notion of Linke...]]></description>
  <dc:date>2010-03-22</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/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/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/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>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/295/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 (partial) se...]]></description>
  <dc:date>2010-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables">
  <title><![CDATA[Using linked data to interpret tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables</link>
  <description><![CDATA[Vast amount of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. In today’s talk I will describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpreta...]]></description>
  <dc:date>2010-09-14</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/400/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/event/html/id/400/Generating-Linked-Data-by-inferring-the-semantics-of-tables</link>
  <description><![CDATA[Ph.D. Preliminary Examination
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. In this research we present techniques to generate high quality linked data from tables by jointly inferring the semantics of column headers, table cell values (e.g., strings and numbers), relations between ...]]></description>
  <dc:date>2011-05-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/360/Using-linked-data-to-interpret-tables-">
  <title><![CDATA[Using linked data to interpret tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/360/Using-linked-data-to-interpret-tables-</link>
  <description><![CDATA[Vast amount of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. In today’s talk I will describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpreta...]]></description>
  <dc:date>2010-09-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/351/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-linked-data">
  <title><![CDATA[T2LD – An automatic framework for extracting,            interpreting and representing tables as linked data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/351/T2LD-An-automatic-framework-for-extracting-interpreting-and-representing-tables-as-linked-data</link>
  <description><![CDATA[MS Thesis Defense


We present an automatic framework for extracting, interpreting and
generating linked data from tables. In the process of representing
tables as linked data, we assign every column header a class label
from an appropriate ontology, link table cells (if appropriate) to an
entity from the Linked Open Data cloud and identify relations between
various columns in the table, which helps us to build an overall
interpretation of the table. Using the limited evidence provid...]]></description>
  <dc:date>2010-06-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/340/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/340/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>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/336/URI-Resolution-in-Linked-Data-Browsers">
  <title><![CDATA[URI Resolution in Linked Data Browsers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/336/URI-Resolution-in-Linked-Data-Browsers</link>
  <description><![CDATA[When applied to URIs, the terms dereference and resolve are sometimes used interchangeably, though they don't necessarily mean the same thing. Dereferencing is the act of retrieving a representation of a resource identified by a URI. URI resolution can mean different things depending on context, but generally refers to where the browser looks for information. So dereferencing is the job of the server, while resolution is a partnership between browser and server.

      We will look at the r...]]></description>
  <dc:date>2010-03-02</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>
</rdf:RDF>

