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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=spreadsheets">
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      <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/454/The-Semantic-Web-there-and-back-again"/>
      <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/400/Generating-Linked-Data-by-inferring-the-semantics-of-tables"/>
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      <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/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/82/RDF123"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/96/Tables-to-Linked-Data"/>
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      <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"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF"/>
      <rdf:li resource="http://ebiquity.umbc.edu/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/238/RDF-Web-service-v1-0-java-servlet-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/239/RDF123-Google-Group"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0"/>
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 <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/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/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/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/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/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers">
  <title><![CDATA[Predicting Appropriate Semantic Web Terms from Words and Table Headers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers</link>
  <description><![CDATA[We are developing an innovative system which takes a set of English words and searches among the ontologies available on the Semantic Web to find the best schemas to encode information associated with the with the words. In other words, a schema written flexibly with ordinary words can be mapped to its canonical form in RDF.

By using the system, the ontology network will gradually evolves, driven by people’s own knowledge and convention, toward a network of concepts resembling those in t...]]></description>
  <dc:date>2008-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/379/New-Applications-for-Information-Extraction">
  <title><![CDATA[New Applications for Information Extraction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/379/New-Applications-for-Information-Extraction</link>
  <description><![CDATA[We will present ongoing research at UMBC on extracting and exploiting information from novel sources.  The first problem we will discuss is extracting and exploiting semantic information from structured forms like spreadsheets, database relations, and Web tables. We've developed an approach that uses Semantic Web knowledge to interpret such tables and associate their entities, values and relations with nodes in a reference linked data collection.  The resulting interpretation can be used to a...]]></description>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/82/RDF123">
  <title><![CDATA[RDF123]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/82/RDF123</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map spreadsheet cells to a new RDF node or to a literal value. Labels on the nodes in the map can be used to create blank nodes or labeled nodes, a...]]></description>
  <dc:date>2007-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/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/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/paper/html/id/596/A-Domain-Independent-Framework-for-Extracting-Linked-Semantic-Data-from-Tables">
  <title><![CDATA[A Domain Independent Framework for Extracting Linked Semantic Data from Tables]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/596/A-Domain-Independent-Framework-for-Extracting-Linked-Semantic-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 require human input to create schemas and often result in graphs that do not follow best practices for linked data.  Evidence for a tab...]]></description>
  <dc:date>2012-07-05</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/547/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/paper/html/id/547/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...]]></description>
  <dc:date>2011-09-03</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/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/414/RDF123-from-Spreadsheets-to-RDF">
  <title><![CDATA[RDF123: from Spreadsheets to RDF]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/414/RDF123-from-Spreadsheets-to-RDF</link>
  <description><![CDATA[We describe RDF123, a highly flexible open-source tool for translating spreadsheet data to RDF. Existing spreadsheet-to-rdf tools typically map only to star-shaped RDF graphs, i.e. each spreadsheet row is an instance, with each column representing a property. RDF123, on the other hand, allows users to define mappings to arbitrary graphs, thus allowing much richer spreadsheet semantics to be expressed. Further, each row in the spreadsheet can be mapped with a fairly different RDF scheme. Two i...]]></description>
  <dc:date>2008-10-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/372/RDF123-and-Spotter-Tools-for-generating-OWL-and-RDF-for-biodiversity-data-in-spreadsheets-and-unstructured-text">
  <title><![CDATA[RDF123 and Spotter: Tools for generating OWL and RDF for biodiversity data in spreadsheets and unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/372/RDF123-and-Spotter-Tools-for-generating-OWL-and-RDF-for-biodiversity-data-in-spreadsheets-and-unstructured-text</link>
  <description><![CDATA[OWL (the Web Ontology Language) and the related RDF (Resource Description Framework) are XML-based languages designed to represent the semantics of data. These languages enable systems to go beyond simple controlled vocabularies and specify the contexts and logical relationships among terms. Formal ontologies use classes (e.g., Species A) and properties (e.g., is a member of, or eats, or has body mass) to represent concepts and relationships as assertions. For example, two assertions might be...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF">
  <title><![CDATA[RDF123: a mechanism to transform spreadsheets to RDF]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/368/RDF123-a-mechanism-to-transform-spreadsheets-to-RDF</link>
  <description><![CDATA[We describe RDF123, a highly flexible open-source tool for transforming spreadsheet data to RDF. Existing spreadsheet-to-RDF tools typically map only to star-shaped RDF graphs, i.e. each spreadsheet row is an instance, with each column representing a property. RDF123, on the other hand, allows users to define mappings to arbitrary graphs, thus allowing much richer spreadsheet semantics to be expressed.  Further, each row in the spreadsheet can be mapped with a different RDF/OWL scheme. ...]]></description>
  <dc:date>2007-08-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/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/238/RDF-Web-service-v1-0-java-servlet-">
  <title><![CDATA[RDF Web service v1.0 (java servlet)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/239/RDF123-Google-Group">
  <title><![CDATA[RDF123 Google Group]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/239/RDF123-Google-Group</link>
  <description><![CDATA[This Google group is for announcements, questions and discussions about RDF123 -- an application and web service for converting data in simple spreadsheets to an RDF graph.]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0">
  <title><![CDATA[RDF123 java application v1.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-">
  <title><![CDATA[RDF123 linux application v1.0 (With Java VM self-contained)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation">
  <title><![CDATA[RDF123 presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph. The spreadsheets must consist of a single table with or without header rows. Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation. The template can map a spreadsheet cell to a new RDF node or to a literal value. Labels o...]]></description>
  <dc:date>2007-07-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-">
  <title><![CDATA[RDF123 windows application v1.0 (With Java VM self-contained)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/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>
</rdf:RDF>
