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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=text+mining">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=text+mining]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for text mining]]></description>
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    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/438/Masters-Thesis-Research-Update-Sandhya-Krishnan"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/68/memeta"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/762/ALDA-Cognitive-Assistant-for-Legal-Document-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/732/Streamlining-Management-of-Multiple-Cloud-Services"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/429/Mining-Social-Media-Communities-and-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text">
  <title><![CDATA[Information Extraction of Security related entities and concepts from unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text</link>
  <description><![CDATA[Cyber Security has been a big concern especially in past one decade where it is witnessed that targets ranging from large number of internet users to government agencies are being attacked because of vulnerabilities present in the system. Even though these vulnerabilities are identified and published publicly but response has always been slow in covering up these vulnerabilities because there is no automatic mechanism to understand and process this unstructured text that is published on inter...]]></description>
  <dc:date>2013-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media">
  <title><![CDATA[Privacy and Security in Online Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media</link>
  <description><![CDATA[With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and pri...]]></description>
  <dc:date>2013-03-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/438/Masters-Thesis-Research-Update-Sandhya-Krishnan">
  <title><![CDATA[Masters Thesis Research Update: Sandhya Krishnan]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/438/Masters-Thesis-Research-Update-Sandhya-Krishnan</link>
  <description><![CDATA[In this week's lab meeting Sandhya Krishnan will present her proposed thesis topic:

Abstract: Content available on social media, can be used to understand the profile, behavior and interests of a user. Text mining and information retrieval tools can be used to extract words and topics which represent the content of the particular user in a given time frame. The goal if this thesis work is to analyze content of prominent user accounts on Social media [example: social media accounts of polit...]]></description>
  <dc:date>2012-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies">
  <title><![CDATA[Using Information Extraction to Automatically Generate Probabilistic Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/147/Using-Information-Extraction-to-Automatically-Generate-Probabilistic-Ontologies</link>
  <description><![CDATA[The Semantic Web is a rapidly developing research area that promises
to deliver Tim Berners-Lee's vision of a world where agents can
communicate, reason, and act to complete complex tasks for their
users.  Ontology languages have evolved as the de facto presentation
language for the Semantic Web.  Today there are over one million
Semantic Web Documents indexed in the Swoogle database collection.
This seemingly impressive number is dwarfed by the more than nine
billion pages in the Goog...]]></description>
  <dc:date>2006-04-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics">
  <title><![CDATA[ALDA: Automated Legal Document Analytics]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics</link>
  <description><![CDATA[There has been an exponential growth in use of digitized legal documents in recent years. Majority of services on the Internet have associated legal documents such as Terms of Services, Privacy Policies and Service Level agreements. A large corpus of court cases, judgments and compliance/regulations are now digitally available for e-discovery. Moreover, businesses are maintaining large data sets of legal contracts that they have signed with their employees, customers and contractors. Furtherm...]]></description>
  <dc:date>2014-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment">
  <title><![CDATA[Text Mining Approach to Ontology Enrichment]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/57/Text-Mining-Approach-to-Ontology-Enrichment</link>
  <description><![CDATA[Ontologies have been widely accepted as the most advanced knowledge representation model. They are among the most important building blocks of semantic web, hence, very crucial for the success of semantic web. Huge effort is needed from the domain expert in order to construct ontologies manually. There is a need for semi-automatic approach in ontology building which will help the domain expert in constructing extensive domain ontologies efficiently. We propose the use of text mining technique...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/762/ALDA-Cognitive-Assistant-for-Legal-Document-Analytics">
  <title><![CDATA[ALDA : Cognitive Assistant for Legal Document Analytics]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/762/ALDA-Cognitive-Assistant-for-Legal-Document-Analytics</link>
  <description><![CDATA[In recent times, there has been an exponential growth in digitization of legal documents such as case records, contracts,
terms of services, regulations, privacy documents and compliance guidelines. Courts have been digitizing their archived
cases and also making it available for e-discovery. On the
other hand, businesses are now maintaining large data sets
of legal contracts that they have signed with their employees,
customers and contractors. Large public sector organizations
are oft...]]></description>
  <dc:date>2016-09-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/732/Streamlining-Management-of-Multiple-Cloud-Services">
  <title><![CDATA[Streamlining Management of Multiple Cloud Services]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/732/Streamlining-Management-of-Multiple-Cloud-Services</link>
  <description><![CDATA[With the increase in the number of cloud services and service providers, manual analysis of Service Level Agreements (SLA), comparison between different service offerings and conformance regulation has become a difficult task for customers. Cloud SLAs are policy documents describing the legal agreement between cloud providers and customers. SLA specifies the commitment of availability, performance of services, penalties associated with violations and procedure for customers to receive compens...]]></description>
  <dc:date>2016-06-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/429/Mining-Social-Media-Communities-and-Content">
  <title><![CDATA[Mining Social Media Communities and Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/429/Mining-Social-Media-Communities-and-Content</link>
  <description><![CDATA[Social Media is changing the way people find information, share
knowledge and communicate with each other. The important factor
contributing to the growth of these technologies is the ability to
easily produce “user-generated content”. Blogs, Twitter, Wikipedia,
Flickr and YouTube are just a few examples of Web 2.0 tools that are
drastically changing the Internet landscape today. These platforms
allow users to produce and annotate content and more importantly,
empower them to share...]]></description>
  <dc:date>2008-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions">
  <title><![CDATA[Feeds That Matter: A Study of Bloglines Subscriptions]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions</link>
  <description><![CDATA[David Sifry's latest quarterly report on the state of the Blogosphere states that  ``the size of the Blogosphere continues
to double every six months". According to this report there are 33.5
million weblogs and many of these are actively posting. As the
Blogosphere continues to grow, finding good quality feeds is becoming
increasingly difficult. In this paper we present an analysis of the
feeds subscribed by a set of publicly listed Bloglines users. Using
the subscription information, ...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies">
  <title><![CDATA[Mining Domain Specific Texts and Glossaries to Evaluate and Enrich Domain Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/171/Mining-Domain-Specific-Texts-and-Glossaries-to-Evaluate-and-Enrich-Domain-Ontologies</link>
  <description><![CDATA[Ontologies have been widely accepted as the most advanced knowledge representation model. They are among the most important building blocks of the semantic web, hence, very crucial for the success of the semantic web. This paper discusses a fast and efficient method to facilitate the evaluation and enrichment of domain ontologies using a text-mining approach. We exploit domain-specific texts and glossaries or dictionaries in order to automatically generate g-groups and f-groups. These groups ...]]></description>
  <dc:date>2004-06-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity">
  <title><![CDATA[situational awareness for cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/327/situational-awareness-for-cybersecurity</link>
  <description><![CDATA[We describe a current project    aimed at developing a situational awareness framework to (1) detect potential new vulnerabilities from Web descriptions and discussions, extract information and map to IDS knowledge base, (2) recognize potential attacks and intrusions in data from low level intrusion detection systems and map to IDS knowledge base, and (3) integrate and reason over results of (1) and (2) to identify actual attacks.]]></description>
  <dc:date>2011-10-21</dc:date>
 </item>
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