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      <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-"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/32/Zhongli-Ding-defends-dissertation"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/781/Context-Dependent-Privacy-and-Security-Management-on-Mobile-Devices"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/661/Interpreting-Medical-Tables-as-Linked-Data-to-Generate-Meta-Analysis-Reports"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/333/Automatically-Generating-Linked-Data-from-Tables"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/385/Best-paper-award-2023-ESWC-workshop"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/339/Making-the-Semantic-Web-Easier-to-Use"/>
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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/422/Masters-Thesis-Research-Update-Amey-and-Nikhil">
  <title><![CDATA[Masters Thesis Research Update - Amey and Nikhil]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/422/Masters-Thesis-Research-Update-Amey-and-Nikhil</link>
  <description><![CDATA[In this week's lab meeting, Amey Sane and Nikhil Puranik will give an update on how their Masters thesis research is progressing. 


Amey will talk on "Exploring Hidden Markov Model for semantic activity prediction".

Smart devices like mobile phones can effectively be exploited for use, not only as a mode of contact through voice dialing but much more than that, by making use of its features like Bluetooth, Wi-Fi capability and also through its in-built sensor capability. All these can ...]]></description>
  <dc:date>2011-12-13</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/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/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia">
  <title><![CDATA[Wikitology: A Novel Hybrid Knowledge Base Derived from Wikipedia]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia</link>
  <description><![CDATA[PhD Defense

World knowledge may be available in different forms such as
relational databases, triple stores, link graphs, meta-data and
free text. Human minds are capable of understanding and
reasoning over knowledge represented in different ways and are
influenced by social, contextual and environmental factors. By
following a similar model, we have integrated a variety of
knowledge sources in a novel way to produce a single hybrid
knowledge base, Wikitology, enabling applications ...]]></description>
  <dc:date>2010-07-19</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/getnews/html/id/32/Zhongli-Ding-defends-dissertation">
  <title><![CDATA[Zhongli Ding defends dissertation]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/32/Zhongli-Ding-defends-dissertation</link>
  <description><![CDATA[Zhongli Ding successfully defended her Ph.D. dissertation
entitled "BayesOWL: A Probabilistic Framework for Uncertainty in
Semantic Web" on December 5, 2005.  Dr. Ding came to UMBC in the Fall
of 1999 after receiving her undergraduate degree from the University
of Science and Technology of China in Hefei.  She joined the ebquity
lab in 2000 and has worked closely with Professor Yun Peng, who was
her mentor and dissertation supervisor.  She received a Masters degree in
Computer Scie...]]></description>
  <dc:date>2005-12-05</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/59/Bayes-OWL">
  <title><![CDATA[Bayes OWL]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/59/Bayes-OWL</link>
  <description><![CDATA[Dealing with uncertainty is crucial in ontology engineering tasks such
as domain modeling, ontology reasoning, and concept mapping between
ontologies. The Bayes OWL project addresses this problem by exploring
how uncertainty can be modeled in ontologies using Bayesian networks
(BN). Our approach involves extending OWL to allow additional
probabilistic markups for attaching probability information.  Having
done so, we can directly convert a probabilistically annotated OWL
ontology into ...]]></description>
  <dc:date>2003-09-01</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/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/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents">
  <title><![CDATA[Knowledge Graph-driven Tabular Data Discovery from Scientific Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents</link>
  <description><![CDATA[Synthesizing information from collections of tables embedded within scientific and technical documents is increasingly critical to emerging knowledge-driven applications. Given their structural heterogeneity, highly domain-specific content, and diffuse context, inferring a precise semantic understanding of such tables is traditionally better accomplished through linking tabular content to concepts and entities in reference knowledge graphs. However, existing tabular data discovery systems are...]]></description>
  <dc:date>2023-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents">
  <title><![CDATA[Towards Semantic Exploration of Tables in Scientific Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents</link>
  <description><![CDATA[Structured data artifacts such as tables are widely used in scientific literature to organize and concisely communicate important statistical information. Discovering relevant information in these tables remains a significant challenge owing to their structural heterogeneity, dense and often implicit semantics, and diffuse context. This paper describes how we leverage semantic technologies to enable technical experts to search and explore tabular data embedded within scientific documents. We ...]]></description>
  <dc:date>2023-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1051/A-Practical-Entity-Linking-System-for-Tables-in-Scientific-Literature">
  <title><![CDATA[A Practical Entity Linking System for Tables in Scientific Literature]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1051/A-Practical-Entity-Linking-System-for-Tables-in-Scientific-Literature</link>
  <description><![CDATA[Entity linking is an important step towards constructing knowledge graphs that facilitate advanced question answering over scientific documents—including the retrieval of relevant information included in tables within these documents. This paper introduces a general-purpose system for linking entities to items in the Wikidata knowledge base. It describes how we adapt this system for linking domain-specific entities, especially for those entities embedded within tables drawn from COVID-19-re...]]></description>
  <dc:date>2023-02-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents">
  <title><![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents</link>
  <description><![CDATA[Current language understanding approaches are mostly focused on small documents, such as newswire articles, blog posts, and product reviews. Understanding and extracting information from large documents like legal documents, reports, proposals, technical manuals, and research articles is still a challenging task. Because the documents may be multi-themed, complex, and cover diverse topics. The content can be split into multiple files or aggregated into one large file. As a result, the content...]]></description>
  <dc:date>2018-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/781/Context-Dependent-Privacy-and-Security-Management-on-Mobile-Devices">
  <title><![CDATA[Context-Dependent Privacy and Security Management on Mobile Devices]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/781/Context-Dependent-Privacy-and-Security-Management-on-Mobile-Devices</link>
  <description><![CDATA[There are ongoing security and privacy concerns regarding mobile platforms that are being used by a growing number of citizens. Security and privacy models typically used by mobile platforms use one-time permission acquisition mechanisms. However, modifying access rights after initial authorization in mobile systems is often too tedious and complicated for users. User studies show that a typical user does not understand permissions requested by applications or are too eager to use the applica...]]></description>
  <dc:date>2017-08-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/786/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents">
  <title><![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/786/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents</link>
  <description><![CDATA[Up-to-the-minute language understanding approaches are mostly focused on small documents such as newswire articles, blog posts, product reviews and discussion forum en- tries. Understanding and extracting information from large documents such as legal docu- ments, reports, proposals, technical manuals and research articles is still a challenging task. The reason behind this challenge is that the documents may be multi-themed, complex and cover diverse topics. For example, business opportuniti...]]></description>
  <dc:date>2017-04-27</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/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/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/661/Interpreting-Medical-Tables-as-Linked-Data-to-Generate-Meta-Analysis-Reports">
  <title><![CDATA[Interpreting Medical Tables as Linked Data to Generate  Meta-Analysis Reports]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/661/Interpreting-Medical-Tables-as-Linked-Data-to-Generate-Meta-Analysis-Reports</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 correlations between various medical factors that are assembled and integrated through meta--analyses (i.e., systematic reviews) of data in tables from publications and clinical trial studies.  We describe a important component of a system to automatically produce evid...]]></description>
  <dc:date>2014-08-13</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/162/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Uncertainty in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/162/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web</link>
  <description><![CDATA[Ph.D. Dissertation Defense
To address the difficult but important problem of modeling uncertainty in semantic web, this research has taken a probabilistic approach and developed a theoretical framework, named BayesOWL, that incorporates the Bayesian network (BN), a widely used graphic model for probabilistic interdependency, into the web ontology language OWL. This framework consists of three key components:

 a representation for encoding the probability distributions as OWL classes;
 a...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/163/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web-pdf-">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Uncertainty in Semantic Web (pdf)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/163/BayesOWL-A-Probabilistic-Framework-for-Uncertainty-in-Semantic-Web-pdf-</link>
  <description><![CDATA[Ph.D. Dissertation Defense
To address the difficult but important problem of modeling uncertainty in semantic web, this research has taken a probabilistic approach and developed a theoretical framework, named BayesOWL, that incorporates the Bayesian network (BN), a widely used graphic model for probabilistic interdependency, into the web ontology language OWL. This framework consists of three key components:

 a representation for encoding the probability distributions as OWL classes;
 a...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/385/Best-paper-award-2023-ESWC-workshop">
  <title><![CDATA[Best paper award, 2023, ESWC workshop]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/385/Best-paper-award-2023-ESWC-workshop</link>
  <description><![CDATA[BEST PAPER AWARD

Towards Semantic Exploration of Tables in Scientific Documents
V. Mulwad, V. S. Kumar, J. W. Williams, T. Finin, S. Dixit, and A. Joshi

Semantic Technologies for Scientific, Technical, and Legal Data
co-located with Extended Semantic Web Conference 2023]]></description>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/82/foafPub-dataset">
  <title><![CDATA[foafPub dataset]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/82/foafPub-dataset</link>
  <description><![CDATA[The FOAF (Friend of a Friend) vocabulary has become one of the most used semantic web ontologies and can be found in millions of RDF documents on the web. FOAF is used to describe basic attributes of people and relationships among them.

foafPub is a dataset of information extracted from FOAF files
collected during the Fall of 2004.  The data represents 7118 foaf
documents collected from 2044 sites (identified by their symbolic IP
address). A total of 201,612 RDF triples with provenance ...]]></description>
  <dc:date>2005-02-23</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/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>
