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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/tag/information retrieval/">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/information retrieval/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/43/trendTracker"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/83/Wikitology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/395/Wikitology-Wikipedia-as-an-ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/383/Wikipedia-as-an-Ontology-for-Describing-Documents"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/412/BolgVox-Learning-Sentiment-Classifiers"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/316/Characterizing-the-Semantic-Web-on-the-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/310/Swoogle-s-Metadata-about-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/317/Enhancing-Semantic-Web-Data-Access"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/241/Finding-and-Ranking-Knowledge-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/264/Search-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/265/Search-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/183/Swoogle-A-Search-and-Metadata-Engine-for-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/291/UMBC-at-TREC-12"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/88/Information-retrieval-on-the-Semantic-Web-Integrating-inference-and-retrieval"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/104/Information-retrieval-on-the-semantic-web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/232/Yahoo-as-an-Ontology-using-Yahoo-categories-to-describe-documents-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/199/Personalized-Information-Retrieval-in-Context"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-Wikipedia-as-an-ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/236/Improved-Information-Retrieval-through-Set-Based-Preference"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/180/On-improving-Web-search"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/169/Personalized-Information-Retrieval-in-Context"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/75/PhD-proposal-On-Boosting-Semantic-Web-Data-Access"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/61/A-Model-for-Decentralized-Information-Dissemination"/>
   </rdf:Seq>
  </items>
 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter">
  <title><![CDATA[Feeds that matter]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter</link>
  <description><![CDATA[Finding good feeds is getting harder as the Blogosphere grows. We analyze the Bloglines public feed subscriptions and describe techniques to induce an intuitive set of feed topics. The FTM! prototype service uses a ranked list of the "feeds that matter" for each topic to allow users to browse the catalog and subscribe to interesting feeds.]]></description>
  <dc:date>2006-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/43/trendTracker">
  <title><![CDATA[trendTracker]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/43/trendTracker</link>
  <description><![CDATA[One way to identify and monitor new ideas and concepts in society is
by the changing frequencies of words and phrases used to describe
them.  This applies pretty broadly, whether we are talking about a new
concept (cloning), a technology (Java) or a fad (Britany Spears).
This project involves writting a simple web service that use's
Google's usenet archives to perform search on the frequency of a given
word or phrase.  For example, you could find out when people began
talking about the...]]></description>
  <dc:date>2003-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli">
  <title><![CDATA[Vox Blogguli]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli</link>
  <description><![CDATA[Blogvox is an experimental system initially built for the 2006 TREC blog track.  The goal was to do opinion retrieval from blog posts.  GIven a query string describing a topic, e.g., "March of the Penguins", the system retieves blog posts that express an opinion, positive or negative, about the topic.]]></description>
  <dc:date>2006-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/83/Wikitology">
  <title><![CDATA[Wikitology]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/83/Wikitology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is
a task common to many applications. It can help in the annotation and
categorization of documents and be used to model a person's current
interests for improving search results, business intelligence or
selecting appropriate advertisements. We are investigating the use of
Wikipedia's articles and associated pages as a topic ontology for this
purpose. The benefits of the approach are that the ontology terms are
develo...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/395/Wikitology-Wikipedia-as-an-ontology">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/395/Wikitology-Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to model a person's current interests for improving search results, business intelligence or selecting appropriate advertisements. We are investigating the use of Wikipedia's articles and associated pages as a topic ontology for this purpose. The benefits of the approach are that the ontology terms are developed thr...]]></description>
  <dc:date>2008-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/383/Wikipedia-as-an-Ontology-for-Describing-Documents">
  <title><![CDATA[Wikipedia as an Ontology for Describing Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/383/Wikipedia-as-an-Ontology-for-Describing-Documents</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to model a person's current interests for improving search results, business intelligence or selecting appropriate advertisements.  One approach is to associate a document with a set of topics selected from a fixed ontology or vocabulary of terms. We have investigated using Wikipedia's articles and associated pages ...]]></description>
  <dc:date>2008-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/412/BolgVox-Learning-Sentiment-Classifiers">
  <title><![CDATA[BolgVox: Learning Sentiment Classifiers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/412/BolgVox-Learning-Sentiment-Classifiers</link>
  <description><![CDATA[Performing sentiment analysis upon a topic, specified by key words, without prior knowledge about the key words is a difficult task. With the growth of the blogosphere researchers, corporations, and politicians, among others are very interested in applying sentiment detection to blogs. To accommodate the demands from myriad users, with similarly diverse desires, a sentiment analysis engine for blogs must discover domain specific features relevant to queries in order to accurately assess the s...]]></description>
  <dc:date>2007-04-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System">
  <title><![CDATA[The BlogVox Opinion Retrieval System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System</link>
  <description><![CDATA[The BlogVox system retrieves opinionated blog posts specified by ad
hoc queries. BlogVox was developed for the 2006 TREC blog track by the University of
Maryland, Baltimore County and the Johns Hopkins University
Applied Physics Laboratory using a novel system to recognize legitimate  
posts and discriminate against spam blogs.  It also processes posts to eliminate extraneous
non-content, including blog-rolls, link-rolls, advertisements and
sidebars.  After retrieving posts relevant to ...]]></description>
  <dc:date>2007-02-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/316/Characterizing-the-Semantic-Web-on-the-Web">
  <title><![CDATA[Characterizing the Semantic Web on the Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/316/Characterizing-the-Semantic-Web-on-the-Web</link>
  <description><![CDATA[Semantic Web languages are being used to represent, encode and
exchange semantic data in many contexts beyond the Web -- in
databases, multiagent systems, mobile computing, and ad hoc networking
environments.  The core paradigm, however, remains what we call the
{em Web aspect} of the Semantic Web -- its use by independent and
distributed agents who publish and consume data on the World Wide Web.
To better understand this central use case, we have harvested and
analyzed a collection of...]]></description>
  <dc:date>2006-11-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/310/Swoogle-s-Metadata-about-the-Semantic-Web">
  <title><![CDATA[Swoogle's Metadata about the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/310/Swoogle-s-Metadata-about-the-Semantic-Web</link>
  <description><![CDATA[Semantic Web technology enables us to specify metadata about things in the world; however, the metadata of the Semantic Web on the Web is also important for accessing online Semantic Web data.  In this paper, we show how Swoogle collects the metadata from Semantic Web document to build a global picture of the Semantic Web. We also show the database schema that stores the metadata, and use an example Semantic Web document to explain how the metadata has been extracted and stored.]]></description>
  <dc:date>2006-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/317/Enhancing-Semantic-Web-Data-Access">
  <title><![CDATA[Enhancing Semantic Web Data Access]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/317/Enhancing-Semantic-Web-Data-Access</link>
  <description><![CDATA[The Semantic Web was invented by Tim Berners-Lee in 1998 as a web of data for machine consumption. Its applicability in supporting real world applications on the World Wide Web, however, remains unclear to this day because most existing works treat the Semantic Web as one universal RDF graph and ignore the Web aspect. In fact, the Semantic Web is distributed on the Web as a web of belief: each piece of Semantic Web data is independently published on the Web as a certain agent's belief instead...]]></description>
  <dc:date>2006-04-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/241/Finding-and-Ranking-Knowledge-on-the-Semantic-Web">
  <title><![CDATA[Finding and Ranking Knowledge on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/241/Finding-and-Ranking-Knowledge-on-the-Semantic-Web</link>
  <description><![CDATA[Swoogle is a system that helps knowledge engineers and software agents find knowledge on the web encoded in the semantic web languages RDF and OWL.  Based on the search mechanisms provided in the previous version, we propose a novel semantic web navigation model and refine mechanisms for ranking the semantic web at various granularities. Although the semantic web is materialized on the Web, it is hard to navigate within the semantic web since few explicit ``hyperlinks'' are available besides ...]]></description>
  <dc:date>2005-11-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/264/Search-on-the-Semantic-Web">
  <title><![CDATA[Search on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/264/Search-on-the-Semantic-Web</link>
  <description><![CDATA[To help human users and software agents find relevant knowledge on
the Semantic Web, the Swoogle search engine discovers, indexes, and
analyzes the ontologies and facts that are encoded in Semantic Web
documents.]]></description>
  <dc:date>2005-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/265/Search-on-the-Semantic-Web">
  <title><![CDATA[Search on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/265/Search-on-the-Semantic-Web</link>
  <description><![CDATA[The Semantic Web provides a way to encode information and knowledge on web pages in a form that is easier for computers to understand and process.  This article discusses the issues underlying the discovery, indexing and search over web documents that contain semantic web markup. Unlike conventional Web search engines, which use information retrieval techniques designed for documents of unstructured text, Semantic Web search engines must handle documents comprised of semi-structured data.  Mo...]]></description>
  <dc:date>2005-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/183/Swoogle-A-Search-and-Metadata-Engine-for-the-Semantic-Web">
  <title><![CDATA[Swoogle: A  Search and Metadata Engine for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/183/Swoogle-A-Search-and-Metadata-Engine-for-the-Semantic-Web</link>
  <description><![CDATA[Swoogle is a crawler-based indexing and retrieval system for the 
Semantic Web. 
It extracts metadata for each discovered document, and computes 
relations between documents. Discovered documents are also 
indexed by an information retrieval system which can use either 
character N-Gram or URIrefs as keywords to find relevant documents 
and to compute the similarity among a set of documents.  One of the 
interesting properties we compute is textit {ontology rank}, a measure of the impo...]]></description>
  <dc:date>2004-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/291/UMBC-at-TREC-12">
  <title><![CDATA[UMBC at TREC 12]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/291/UMBC-at-TREC-12</link>
  <description><![CDATA[We present the results of UMBC’s participation in the Web and Nov-
elty tracks. We explored various heuristics-based link analysis approaches to the
Topic Distillation task. For the novelty task we tried several methods for exploit-
ing semantic information of sentences based on the SVD technique. We used
SVD to expand the query and to filter redundant sentences. We also used a clus-
tering algorithm that is also based on SVD.]]></description>
  <dc:date>2003-11-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/88/Information-retrieval-on-the-Semantic-Web-Integrating-inference-and-retrieval">
  <title><![CDATA[Information retrieval on the Semantic Web: Integrating inference and retrieval]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/88/Information-retrieval-on-the-Semantic-Web-Integrating-inference-and-retrieval</link>
  <description><![CDATA[One vision of the Semantic Web is that it will be much like the
Web we know today, except that documents will be enriched
by annotations in machine understandable markup. These
annotations will provide metadata about the documents as
well as machine interpretable statements capturing some of the
meaning of document content. We discuss how the information
retrieval paradigm might be recast in such an environment.
We suggest that retrieval can be tightly bound to inference.
Doing so mak...]]></description>
  <dc:date>2003-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/104/Information-retrieval-on-the-semantic-web">
  <title><![CDATA[Information retrieval on the semantic web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/104/Information-retrieval-on-the-semantic-web</link>
  <dc:date>2002-11-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/232/Yahoo-as-an-Ontology-using-Yahoo-categories-to-describe-documents-">
  <title><![CDATA[Yahoo as an Ontology - using Yahoo categories to describe documents,]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/232/Yahoo-as-an-Ontology-using-Yahoo-categories-to-describe-documents-</link>
  <description><![CDATA[We suggest that one (or a collection) of names of
Yahoo! (or any other WWW indexer's) categories
can be used to describe the content of a document.
Such categories offer a standardized and universal
way for referring to or describing the nature of real
world objects, activities, documents and so on, and
may be used (we suggest) to semantically characterize
the content of documents. WWW indices,
like Yahoo! provide a huge hierarchy of categories
(topics) that touch every aspect of hum...]]></description>
  <dc:date>1999-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster">
  <title><![CDATA[AAAI 06 FTM Poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster</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, we desc...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media">
  <title><![CDATA[Information extraction from social media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media</link>
  <description><![CDATA[This presentation gives an overview of recent work at UMBC on extracting information from social media.]]></description>
  <dc:date>2006-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/199/Personalized-Information-Retrieval-in-Context">
  <title><![CDATA[Personalized Information Retrieval in Context]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/199/Personalized-Information-Retrieval-in-Context</link>
  <description><![CDATA[Personalized content retrieval aims at improving the retrieval process by taking into account the particular interests of individual users. However, not all user preferences are relevant in all situations. It is well known that human preferences are complex, multiple, heterogeneous, changing, even contradictory, and should be understood in context with the user goals and tasks at hand. We propose a method to build a dynamic representation of the semantic context of ongoing retrieval tasks, wh...]]></description>
  <dc:date>2006-09-05</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>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-Wikipedia-as-an-ontology">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used to to model a person's current interests for improving search results, business intelligence or selecting appropriate advertisements. One approach is to a associate a document with a set of topics selected from a fixed ontology or vocabulary of terms. We have investigated using Wikipedia's articles and associated ...]]></description>
  <dc:date>2008-01-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/236/Improved-Information-Retrieval-through-Set-Based-Preference">
  <title><![CDATA[Improved Information Retrieval through Set-Based Preference]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/236/Improved-Information-Retrieval-through-Set-Based-Preference</link>
  <description><![CDATA[I present a new information retrieval framework based on set-based
preference learning that provides users with individually customized
search results. Advances in information storage and retrieval have
enabled computer users to search immense data repositories for very
specific content. While newer information retrieval algorithms can
provide a much richer result set than traditional term-weighting
methods, they adopt a one-size-fits-all approach. By analyzing a
user's prior sea...]]></description>
  <dc:date>2008-04-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents">
  <title><![CDATA[Wikipedia as an ontology for describing documents]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents</link>
  <description><![CDATA[Identifying the topics and concepts associated with a
document or collection of documents is a common task for
many applications.  It can help in the annotation and
categorization of documents in a corpus. Knowing the topics
of documents a user has selected and viewed on the Web or
from a collection can be used to model the user's current
topical interests for improving search results, business
intelligence or selecting appropriate advertisements.

We are exploring the idea of using ...]]></description>
  <dc:date>2007-10-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/180/On-improving-Web-search">
  <title><![CDATA[On improving Web search]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/180/On-improving-Web-search</link>
  <description><![CDATA[Anubhav Kale will present a synopsis of two papers in the broad area of improving web search.  Exploiting Semantic Association To Answer Vague Queries takes an approach of using "relatedness" of keywords to generate accurate search results for vague queries. Ranking Complex Relationships on the Semantic Web explores the challenges in ranking relationships on semantic web and proposes a model for the same. If time permits, he will talk in brief about his summer internship at ITA Software.]]></description>
  <dc:date>2006-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/169/Personalized-Information-Retrieval-in-Context">
  <title><![CDATA[Personalized Information Retrieval in Context]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/169/Personalized-Information-Retrieval-in-Context</link>
  <description><![CDATA[Personalized content retrieval aims at improving the retrieval
process by taking into account the particular interests
of individual users. However, not all user preferences are
relevant in all situations. It is well known that human preferences
are complex, multiple, heterogeneous, changing,
even contradictory, and should be understood in context
with the user goals and tasks at hand. We propose
a method to build a dynamic representation of the semantic
context of ongoing retrieval t...]]></description>
  <dc:date>2006-09-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/75/PhD-proposal-On-Boosting-Semantic-Web-Data-Access">
  <title><![CDATA[PhD proposal: On Boosting Semantic Web Data Access]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/75/PhD-proposal-On-Boosting-Semantic-Web-Data-Access</link>
  <description><![CDATA[The Semantic Web can be viewed as a collection of RDF graphs serialized by RDF documents that distributed in the Web. Its utility depends on three issues: availability (existence of data), accessibility (users can retrieve the data they want), and quality (users can judge the quality of the retrieved data). While more data are available in the Semantic Web, the latter two issues are often ignored or circumscribed due to lacking of tools and mechanisms. This dissertation proposes an ontology-b...]]></description>
  <dc:date>2005-01-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/61/A-Model-for-Decentralized-Information-Dissemination">
  <title><![CDATA[A Model for Decentralized Information Dissemination]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/61/A-Model-for-Decentralized-Information-Dissemination</link>
  <description><![CDATA[Peer-to-Peer computing paradigm may provide a solution to
the retrieval problem in an ever burgeoning volume of online
and digital information. While research has focused on the
means of collaboration as a tool for query routing, we feel
that there is a disconnect in the way P2P networks are
handled and the expectations of performance in the real
world. In the proposed work, we discuss the needs for an
information need sensitive query routing methodology that
can provide for effective...]]></description>
  <dc:date>2004-09-27</dc:date>
 </item>
</rdf:RDF>
