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<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=real+world">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=real+world]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for real world]]></description>
  <items>
    <rdf:Seq>
      <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/426/Visiting-students-presentations-Social-Media-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/420/Masters-Thesis-Research-Update-Anurag-Dibjyajyoti-and-Sumit"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/283/Wikitology-A-Wikipedia-Derived-Knowledge-Base"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/280/Predicting-Appropriate-Semantic-Web-Terms-from-Words-and-Table-Headers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/262/How-To-Tell-Stuff-To-Your-Computer-The-Enigmatic-Art-of-Knowledge-Representation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/216/Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/206/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/742/Clinico-genomic-Data-Analytics-for-Precision-Diagnosis-and-Disease-Management"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/623/Faking-Sandy-Characterizing-and-Identifying-Fake-Images-on-Twitter-during-Hurricane-Sandy"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/620/Identifying-and-characterizing-user-communities-on-Twitter-during-crisis-events"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/527/Two-stream-indexing-for-spoken-web-search"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/676/Wikitology-A-novel-hybrid-knowledge-base-derived-from-wikipedia"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/531/A-semantic-similarity-analysis-for-data-mappings-between-heterogeneous-XML-schemas"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/420/A-Layered-Approach-to-Semantic-Similarity-Analysis-of-XML-Schemas"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/382/Second-Space-A-Generative-Model-For-The-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/389/A-Probabilistic-Framework-for-Semantic-Similarity-and-Ontology-Mapping"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/347/Semantically-Rich-Policy-Based-Framework-to-Automate-Lifecycle-of-Cloud-Based-Services"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base"/>
    </rdf:Seq>
  </items>
 </channel>
 <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/426/Visiting-students-presentations-Social-Media-Analytics">
  <title><![CDATA[Visiting students' presentations - Social Media Analytics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/426/Visiting-students-presentations-Social-Media-Analytics</link>
  <description><![CDATA[This week's ebiquity lab meeting will comprise of presentations by the visiting PhD students from India - Aditi Gupta and Paridhi Jain.


Aditi will present 'Mining online social media (Twitter) content during crisis events'.



Abstract: Online social media provides people with a platform to disseminate ideas, learn information, explore knowledge, and express their opinions on diverse topics. Especially during crisis and emergency situations, there is a sudden rise in activity over th...]]></description>
  <dc:date>2012-02-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/420/Masters-Thesis-Research-Update-Anurag-Dibjyajyoti-and-Sumit">
  <title><![CDATA[Masters Thesis Research Update - Anurag, Dibjyajyoti and Sumit]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/420/Masters-Thesis-Research-Update-Anurag-Dibjyajyoti-and-Sumit</link>
  <description><![CDATA[In this week's lab meeting, Anurag Korde, Dibyajyoti Ghosh and Sumit More will give an update on how their Masters thesis research is progressing. 

Anurag will talk about "Entity Linking and Disambiguation for Smartphone platforms". With increasing number of social networks, smartphones and applications there is a need of creating a framework for information integration across social networks and applications and create an unified record for each person/entity. The problem in information i...]]></description>
  <dc:date>2011-12-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms">
  <title><![CDATA[Masters Thesis Research Proposal : Entity Linking and Disambiguation for Smartphone platforms]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms</link>
  <description><![CDATA[With increasing number of social networks, smartphones and applications there is a need of creating a framework for information integration across social networks and applications and create an unified record for each person/entity. The problem in information integration is that of entity disambiguation. It determines whether two objects in an ontology refer to same real world object. This will enable system to learn a large amount of contextual information. I will be extending]]></description>
  <dc:date>2011-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/283/Wikitology-A-Wikipedia-Derived-Knowledge-Base">
  <title><![CDATA[Wikitology: A Wikipedia Derived Knowledge Base]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/283/Wikitology-A-Wikipedia-Derived-Knowledge-Base</link>
  <description><![CDATA[Wikipedia is a freely available online encyclopedia developed by a
community of users. This encyclopedia comprises of millions of
articles. The depth and coverage of Wikipedia has attracted the
attention of researchers for employing it as a knowledge resource for
solving various problems. In this research we propose to exploit
Wikipedia along with other related open knowledge sources to
automatically generate Semantic knowledge. We discuss Wikipedia’s
structure in detail and suggest ...]]></description>
  <dc:date>2009-02-06</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/262/How-To-Tell-Stuff-To-Your-Computer-The-Enigmatic-Art-of-Knowledge-Representation">
  <title><![CDATA[How To Tell Stuff To Your Computer- The Enigmatic Art of Knowledge Representation]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/262/How-To-Tell-Stuff-To-Your-Computer-The-Enigmatic-Art-of-Knowledge-Representation</link>
  <description><![CDATA[Have you ever wondered how we take information from the "real world" and put it into our computers? When we do this, do we lose parts of the information? Are some concepts just too hard to turn into ones and zeroes? How is our ability to enter information limited by the data structures we use inside of our computers? These questions enter into a science that is rarely discussed: The science of Knowledge Representation.

My presentation on KR will include some navel gazing, but also some nit...]]></description>
  <dc:date>2008-10-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence">
  <title><![CDATA[Communities in Social Media: Reflections on Semantics, Intention and Influence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence</link>
  <description><![CDATA[Communities are central to online social media systems and detecting
their structure and membership is critical for many applications. A
community in real world is represented in a graph as a set of nodes
that are more closely related to one another than the rest of the
network. In social media, a community could be a set of blogs that are
topically related, a group of friends connected via Live Spaces or
even a set of users who share similar tags in their social bookmarks.
Graph struc...]]></description>
  <dc:date>2008-08-28</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>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/206/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/206/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis
of the web. Various models have been proposed to simulate web graphs that
generate degree distributions similar to the web. Real world blog networks
resemble many properties of web graphs. But the dynamic nature of the
blogosphere and the link structure evolving due to blog readership and
social interactions is not well expressed by the existing models.

In this research we propose a model for a blogger to cons...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-">
  <title><![CDATA[From 'Need to Know’ to ‘Need to Share’:]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/39/From-Need-to-Know-to-Need-to-Share-</link>
  <description><![CDATA[From 'Need to Know’ to ‘Need to Share’: UMBC to Lead Six Campus-Team to Turn 9-11 Commission Intel-Sharing Reforms into Technology System

$7.5-million, Five-Year DoD Grant Partners UMBC With Purdue, Michigan, Illinois, Others

CONTACT: Chip Rose, UMBC News, 
410-455-5793, 
crose@umbc.edu


A six-campus team of computer scientists led by UMBC has been awarded a $7.5 million, five-year grant from the Department of Defense to turn the 9-11 Commission’s recommendations for bette...]]></description>
  <dc:date>2008-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports">
  <title><![CDATA[Dynamic Topic Modeling to Infer the Influence of Research Citations on IPCC Assessment Reports]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports</link>
  <description><![CDATA[A common Big Data problem is the need to integrate large temporal data sets from various data sources into one comprehensive structure. Having the ability to correlate evolving facts between data sources can be especially useful in supporting a number of desired application functions such as inference and influence identification. As a real world application we use climate change publications based on the Intergovernmental Panel on Climate Change, which publishes climate change assessment rep...]]></description>
  <dc:date>2016-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/742/Clinico-genomic-Data-Analytics-for-Precision-Diagnosis-and-Disease-Management">
  <title><![CDATA[Clinico-genomic Data Analytics for Precision Diagnosis and Disease Management]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/742/Clinico-genomic-Data-Analytics-for-Precision-Diagnosis-and-Disease-Management</link>
  <description><![CDATA[Patient data can be present in clinical notes, lab results, genomic data sources, environmental and geospatial data sources and tissue banks to name a few. A holistic view of the patient's health can be achieved when relevant data from multiple heterogeneous sources are extracted and analyzed in a personalized manner. Moreover, comparative analysis of patients can be performed when multiple patient records are viewed across these heterogeneous data sources. To address this need, we propose cl...]]></description>
  <dc:date>2015-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/623/Faking-Sandy-Characterizing-and-Identifying-Fake-Images-on-Twitter-during-Hurricane-Sandy">
  <title><![CDATA[Faking Sandy: Characterizing and Identifying Fake Images on Twitter during Hurricane Sandy]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/623/Faking-Sandy-Characterizing-and-Identifying-Fake-Images-on-Twitter-during-Hurricane-Sandy</link>
  <description><![CDATA[In today’s world, online social media plays a vital role during real world events, especially crisis events. There are both positive and negative eﬀects of social media coverage of events -- it can be used by authorities for eﬀective disaster management or by malicious entities to spread rumors and fake news. The aim of this paper is to highlight the role of Twitter during Hurricane Sandy (2012) to spread fake images about the disaster. We identiﬁed 10,350 unique tweets containing fak...]]></description>
  <dc:date>2013-05-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/620/Identifying-and-characterizing-user-communities-on-Twitter-during-crisis-events">
  <title><![CDATA[Identifying and characterizing user communities on Twitter during crisis events]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/620/Identifying-and-characterizing-user-communities-on-Twitter-during-crisis-events</link>
  <description><![CDATA[Twitter is a prominent online social media which is used to share information and opinions. Previous research has shown that current real world news topics and events dominate the discussions on Twitter. In this paper, we present a preliminary study to identify and characterize communities from a set of users who post messages on Twitter during crisis events. We present our work in progress by analyzing three major crisis events of 2011 as case studies (Hurricane Irene, Riots in England, and ...]]></description>
  <dc:date>2012-10-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/527/Two-stream-indexing-for-spoken-web-search">
  <title><![CDATA[Two-stream indexing for spoken web search]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/527/Two-stream-indexing-for-spoken-web-search</link>
  <description><![CDATA[This paper presents two-stream processing of audio to index the audio content for Spoken Web search. The first stream indexes the meta-data associated with a particular audio document. The meta-data is usually very sparse, but accurate. This therefore results in a high-precision, low-recall index. The second stream uses a novel language-independent speech recognition to generate text to be indexed. Owing to the multiple languages and the noise in user generated content on the Spoken Web, the ...]]></description>
  <dc:date>2011-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/676/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/paper/html/id/676/Wikitology-A-novel-hybrid-knowledge-base-derived-from-wikipedia</link>
  <description><![CDATA[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 different 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 i.e., Wikitology, enabling applications to bett...]]></description>
  <dc:date>2010-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/531/A-semantic-similarity-analysis-for-data-mappings-between-heterogeneous-XML-schemas">
  <title><![CDATA[A semantic similarity analysis for data mappings between heterogeneous XML schemas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/531/A-semantic-similarity-analysis-for-data-mappings-between-heterogeneous-XML-schemas</link>
  <description><![CDATA[One of the most critical steps to integrating heterogeneous e-Business applications using different XML schemas is schema mapping, which is known to be costly and error-prone. Past research on schema mapping has not made full use of semantic information imbedded in the hierarchical structure of the XML schema. In this chapter, we investigate the existing schema mapping approaches and propose an innovative semantic similarity analysis approach to facilitate XML schema mapping, merging and reus...]]></description>
  <dc:date>2010-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/420/A-Layered-Approach-to-Semantic-Similarity-Analysis-of-XML-Schemas">
  <title><![CDATA[A Layered Approach to Semantic Similarity Analysis of XML Schemas]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/420/A-Layered-Approach-to-Semantic-Similarity-Analysis-of-XML-Schemas</link>
  <description><![CDATA[One of the most critical steps to integrating heterogeneous
e-Business applications using different XML schemas
is schema mapping, which is known to be costly and
error-prone. Past research on schema mapping has not
fully utilized semantic information in the XML schemas.
In this paper, we propose a semantic similarity analysis
approach to facilitate XML schema mapping, merging
and reuse. Several key innovations are introduced to better
utilize available semantic information. These inn...]]></description>
  <dc:date>2008-07-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/382/Second-Space-A-Generative-Model-For-The-Blogosphere">
  <title><![CDATA[Second Space: A Generative Model For The Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/382/Second-Space-A-Generative-Model-For-The-Blogosphere</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web. Various models have been proposed to simulate web graphs that generate degree distributions similar to the web. Real world blog networks resemble many properties of web graphs. But the dynamic nature of the blogosphere and the link structure evolving due to blog readership and social interactions is not well expressed by the existing models. In this research we propose a model for a blogger to construct bl...]]></description>
  <dc:date>2008-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/389/A-Probabilistic-Framework-for-Semantic-Similarity-and-Ontology-Mapping">
  <title><![CDATA[A Probabilistic Framework for Semantic Similarity and Ontology Mapping]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/389/A-Probabilistic-Framework-for-Semantic-Similarity-and-Ontology-Mapping</link>
  <description><![CDATA[We propose a probabilistic framework to address uncertainty in ontology-based semantic integration and interopera- 
tion. This framework consists of three main components: 1) BayesOWL that translates an OWL ontology to a Baye- 
sian network, 2) SLBN (Semantically Linked Bayesian Networks) that support reasoning across translated BNs, and 
3) a Learner that learns from the web the probabilities needed by the other modules. This framework expands the 
semantic web and can serve as a theoret...]]></description>
  <dc:date>2007-05-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Masters Thesis Presentation)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions similar to the web. Real world blog networks resemble many properties of web graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.

In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Poster)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions
similar to the web. Real world blog networks resemble many properties of web
graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.
In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web">
  <title><![CDATA[Modeling and using trust and provenance in the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/64/Modeling-and-using-trust-and-provenance-in-the-Semantic-Web</link>
  <description><![CDATA[This is Li Ding' proposal preview, and some parts are not finished yet. This proposal shows how to model trust and provenance to make the semantic web a useful real world knowledge base. It first positions trust and provenance in the big picture of semantic web research. Then some important reasearch problems along this line are listed with preliminary work.]]></description>
  <dc:date>2004-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/347/Semantically-Rich-Policy-Based-Framework-to-Automate-Lifecycle-of-Cloud-Based-Services">
  <title><![CDATA[Semantically Rich, Policy Based Framework to Automate Lifecycle of Cloud Based Services]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/347/Semantically-Rich-Policy-Based-Framework-to-Automate-Lifecycle-of-Cloud-Based-Services</link>
  <description><![CDATA[Managing virtualized services efficiently over the cloud is an open challenge.  Traditional models of software development are very time consuming and labor intensive for the cloud computing domain, where software (and other) services are acquired on demand. Virtualized services are often composed of pre-existing components that are assembled on an as-needed basis. We have developed a new framework to automate the acquisition, composition and consumption/ monitoring of virtualized services de...]]></description>
  <dc:date>2012-11-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset">
  <title><![CDATA[Splog Blog Dataset]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/212/Splog-Blog-Dataset</link>
  <description><![CDATA[This dataset consists of 3000 blog homepages, out of which 700 have been labeled as splogs, and another 700 as authentic blogs.


This training set was used in results of three papers, with emphasis on identifying blogs [1], on detecting spam blogs [2], and on analysing the splogosphere [3].


This collection can be used in further experimenting with splogs, or for building filters that could be deployed in real world systems. We, and our academic and industrial collaborators have bee...]]></description>
  <dc:date>2006-11-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base">
  <title><![CDATA[Wikitology: A Wikipedia Derived Knowledge Base]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base</link>
  <description><![CDATA[Wikipedia is a freely available online encyclopedia developed by a community of users. This encyclopedia comprises of millions of articles. The depth and coverage of Wikipedia has attracted the attention of researchers for employing it as a knowledge resource for solving various problems. In this research we propose to exploit Wikipedia along with other related open knowledge sources to automatically generate Semantic knowledge. We discuss Wikipedia’s structure in detail and suggest hybrid ...]]></description>
  <dc:date>2009-02-06</dc:date>
 </item>
</rdf:RDF>
