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    <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/15/Knowledge-Representation-and-Reasoning"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/1/Context-Broker-Architecture-CoBrA-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/33/Intrusion-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/52/OWLCHecker"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/78/Policy-based-Automated-WAN-Configuration-and-Management"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/53/Swoogle"/>
    <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/383/Wikipedia-as-an-Ontology-for-Describing-Documents"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/365/Adding-Semantics-to-Social-Websites-for-Citizen-Science"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/332/ETHAN-the-Evolutionary-Trees-and-Natural-History-Ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/308/Security-and-Privacy-Challenges-in-Open-and-Dynamic-Environments-"/>
    <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/278/BayesOWL-A-Probabilistic-Framework-for-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/249/A-Bayesian-Network-Approach-to-Ontology-Mapping"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/271/BayesOWL-Uncertainty-Modeling-in-Semantic-Web-Ontologies"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/257/Using-Ontologies-in-the-Semantic-Web-A-Survey"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/245/A-Holistic-Approach-to-Secure-Sensor-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/266/Using-Ontologies-in-the-Semantic-Web-A-Survey"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/235/A-Bayesian-Methodology-towards-Automatic-Ontology-Mapping"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/238/The-SOUPA-Ontology-for-Pervasive-Computing"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/228/Applying-Ontologies-and-Semantic-Web-technologies-to-Environmental-Sciences-and-Engineering"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/204/A-Bayesian-Approach-to-Uncertainty-Modeling-in-OWL-Ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/156/Intelligent-Agents-Meet-Semantic-Web-in-a-Smart-Meeting-Room"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/182/A-Pervasive-Computing-Ontology-for-User-Privacy-Protection-in-the-Context-Broker-Architecture"/>
    <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/paper/html/id/172/Ontology-based-Semantic-Metadata-for-GeoScience-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/60/An-Ontology-for-Context-Aware-Pervasive-Computing-Environments"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/144/Weaving-the-Web-of-Belief-into-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/78/An-Intelligent-Broker-for-Context-Aware-Systems"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/77/Semantic-Web-in-a-Pervasive-Context-Aware-Architecture"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/64/Modeling-Computer-Attacks-An-Ontology-for-Intrusion-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/129/An-Ontology-for-Context-Aware-Pervasive-Computing-Environments"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/79/Using-OWL-in-a-Pervasive-Computing-Broker"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/246/Proceedings-of-the-Workshop-on-Ontologies-in-Agent-Systems-OAS-03"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/80/An-Intelligent-Broker-Architecture-for-Context-Aware-Systems"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/110/A-Tool-For-Mapping-Between-Two-Ontologies-Using-Explicit-Information"/>
    <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/paper/html/id/311/The-DARPA-Knowledge-Sharing-Effort-Progress-Report"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/289/Enabling-Technology-for-Knowledge-Sharing"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/348/Interactive-classification-A-technique-for-acquiring-and-maintaining-knowledge-bases"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/12/A-Proposal-for-Pervasive-Computing-Standard-Ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/75/An-Intelligent-Broker-for-Pervasive-Context-Aware-Systems"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/1/CoBrA"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/2/MoGATU"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/224/Rei-Ontology-Specifications-Ver-2-0"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/13/Semantic-Web-in-UbiComp-SIG"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/194/Semantically-Linked-Bayesian-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/131/Sensor-Node-Ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology"/>
    <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/221/Wikipedia-as-an-ontology-for-describing-documents"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/165/Semantically-Linked-Bayesian-Networks-A-Framework-for-Probabilistic-Inference-Over-Multiple-Bayesian-Networks"/>
    <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/event/html/id/75/PhD-proposal-On-Boosting-Semantic-Web-Data-Access"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/15/My-Experience-in-Building-Ontology-driven-Applications"/>
    <rdf:li resource="http://ebiquity.umbc.edu/conference/html/id/18/ontology-for-the-intelligence-community"/>
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 <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/research/area/id/15/Knowledge-Representation-and-Reasoning">
  <title><![CDATA[Knowledge Representation and Reasoning]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/15/Knowledge-Representation-and-Reasoning</link>
  <description><![CDATA[Knowledge representation and reasoning  refers to the general topic of how information can be appropriately encoded and used in computational systems.  Many intelligent systems have explicit knowledge bases they use to represent and manipulate their model of the word.]]></description>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/1/Context-Broker-Architecture-CoBrA-">
  <title><![CDATA[Context Broker Architecture (CoBrA)]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/1/Context-Broker-Architecture-CoBrA-</link>
  <description><![CDATA[Context Broker Architecture (CoBrA) is an agent based architecture for supporting context-aware systems in smart spaces (e.g., intelligent meeting rooms, smart homes, and smart vehicles). Central to this architecture is an intelligent agent called  context broker that maintains a shared model of context on the behalf of a community of agents, services, and devices in the space and provides privacy protections for the users in the space by enforcing the policy rules that they define.]]></description>
  <dc:date>2002-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/33/Intrusion-Detection">
  <title><![CDATA[Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/33/Intrusion-Detection</link>
  <description><![CDATA[Our vision of an intrusion detection system is one where the "system" encompasses the entire enterprise and where intrusion detection is a distributed and collaborative process involving the entities within the enterprise.  We view an entity as any
computational device to include computers, servers, switches, and
routers and where intrusion detectors are comprised of both anomaly and signature detectors that communicate with each other.  We have initiated work toward realizing our vision an...]]></description>
  <dc:date>2002-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments">
  <title><![CDATA[MoGATU: Data Management in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/2/MoGATU-Data-Management-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[The past few years have seen significant work in mobile data management, typically based on the client/proxy/server model. Mobile/wireless devices are treated as clients that are data consumers only, while data sources are on servers that typically reside on the wired network. With the advent of pervasive computing environments, an alternative scenario arises where mobile devices gather and exchange data from not just wired sources, but also from their ethereal environment and one another. Th...]]></description>
  <dc:date>2001-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/52/OWLCHecker">
  <title><![CDATA[OWLCHecker]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/52/OWLCHecker</link>
  <description><![CDATA[Develop a tool to help OWL ontology writers follow good style.  The
first step is to come up with a set of style conventions. these could
include conventions for documentation, importing ontologies,
organization, etc.  An author could apply the tool to an ontology and
get a HTML report on warnings and errors detected by the checker.

One model might be  Checkstyle
-- a development tool to help programmers write Java code that adheres
to a coding standard. It automates the process of c...]]></description>
  <dc:date>2004-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/78/Policy-based-Automated-WAN-Configuration-and-Management">
  <title><![CDATA[Policy-based Automated WAN Configuration and Management]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/78/Policy-based-Automated-WAN-Configuration-and-Management</link>
  <description><![CDATA[There are many significant challenges related to configuration and management of wide-area networks due to their rapidly growing complexity, failures, and attacks.  The DARPA Knowledge Plane Study identified that main challenges to be intelligent network management, fault detection, attack response, and fast network configuration.  With uncertainty and threads of battle areas, these challenges further grow exponentially.

In order to overcome the challenges, the project aims at developing a...]]></description>
  <dc:date>2006-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/53/Swoogle">
  <title><![CDATA[Swoogle]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/53/Swoogle</link>
  <description><![CDATA[Swoogle (http://swoogle.umbc.edu/) is an specialized web
search engine that discovers, analyzes and indexes knowledge
encoded in semantic web documents published on the
Web. Swoogle reasons about these documents and their
constituent parts (e.g., terms, individuals, triples) and
records meaningful metadata about them. Swoogle provides
webscale semantic web data access service, which helps human
users and software systems to find relevant documents, terms
and triples, via its search an...]]></description>
  <dc:date>2004-02-01</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/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/365/Adding-Semantics-to-Social-Websites-for-Citizen-Science">
  <title><![CDATA[Adding Semantics to Social Websites for Citizen Science]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/365/Adding-Semantics-to-Social-Websites-for-Citizen-Science</link>
  <description><![CDATA[While efforts are underway to represent existing ecological
databases semantically, so that they may be intelligently queried and integrated by agents, less attention has been paid to 1) rapidly changing datastreams, and 2) unstructured data from amateur observers. We describe the development of two tools that interact with popular social websites as a means to generate and take advantage of semantic web content for citizen science. Splickr, a website, interacts with the Flickr and Yahoo map...]]></description>
  <dc:date>2007-06-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/332/ETHAN-the-Evolutionary-Trees-and-Natural-History-Ontology">
  <title><![CDATA[ETHAN: the Evolutionary Trees and Natural History Ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/332/ETHAN-the-Evolutionary-Trees-and-Natural-History-Ontology</link>
  <description><![CDATA[Large-scale ecological modeling and evolutionary studies often rely on
scoring taxon-level characteristics of a wide variety of organisms.
Compiling such data is laborious and may involve finding and
reformatting data tables in original literature, or personally
exchanging spreadsheets or ASCII files with researchers. Compiled
taxon-level data is beginning to be shared digitally and efforts to
support wide data sharing in ecology and evolution should make even
more compiled data availa...]]></description>
  <dc:date>2006-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/308/Security-and-Privacy-Challenges-in-Open-and-Dynamic-Environments-">
  <title><![CDATA[Security and Privacy Challenges in Open and Dynamic Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/308/Security-and-Privacy-Challenges-in-Open-and-Dynamic-Environments-</link>
  <description><![CDATA[Achieving secure open and dynamic environments requires shared vocabularies, behavioral norms, and trust models.]]></description>
  <dc:date>2006-06-01</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/278/BayesOWL-A-Probabilistic-Framework-for-Semantic-Web">
  <title><![CDATA[BayesOWL: A Probabilistic Framework for Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/278/BayesOWL-A-Probabilistic-Framework-for-Semantic-Web</link>
  <description><![CDATA[To address the difficult but important problem of modeling uncertainty in semantic web,
this research takes a probabilistic approach and develops 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: 1) a representation of probabilistic constraints as OWL
statements; 2) a set of structural translation rules and...]]></description>
  <dc:date>2005-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/249/A-Bayesian-Network-Approach-to-Ontology-Mapping">
  <title><![CDATA[A Bayesian Network Approach to Ontology Mapping]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/249/A-Bayesian-Network-Approach-to-Ontology-Mapping</link>
  <description><![CDATA[This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. In this approach, the source and target ontologies are first translated into Bayesian networks (BN); the concept mapping between the two ontologies are treated as evidential reasoning between the two translated BN. Probabilities needed for constructing conditional probability tables (CPT...]]></description>
  <dc:date>2005-11-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/271/BayesOWL-Uncertainty-Modeling-in-Semantic-Web-Ontologies">
  <title><![CDATA[BayesOWL: Uncertainty Modeling in Semantic Web Ontologies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/271/BayesOWL-Uncertainty-Modeling-in-Semantic-Web-Ontologies</link>
  <description><![CDATA[It is always essential but di±cult to capture incomplete, partial or uncertain
knowledge when using ontologies to conceptualize an application domain or to
achieve semantic interoperability among heterogeneous systems. This chapter
presents an on-going research on developing a framework which augments and
supplements the semantic web ontology language OWL for representing and
reasoning with uncertainty based on Bayesian networks (BN), and its
application in ontology mapping.]]></description>
  <dc:date>2005-10-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/257/Using-Ontologies-in-the-Semantic-Web-A-Survey">
  <title><![CDATA[Using Ontologies in the Semantic Web: A Survey]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/257/Using-Ontologies-in-the-Semantic-Web-A-Survey</link>
  <description><![CDATA[The Semantic Web is well recognized as an effective infrastructure to enhance visibility of knowledge on the Web. The core of the Semantic Web is "ontology", which is used to explicitly represent our conceptualizations. Ontology engineering in the Semantic Web is primarily supported by languages such as RDF, RDFS and OWL. This chapter discusses the requirements of ontologies in the context of the Web, compares the above three languages with existing knowledge representation formalisms, and su...]]></description>
  <dc:date>2005-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/245/A-Holistic-Approach-to-Secure-Sensor-Networks">
  <title><![CDATA[A Holistic Approach to Secure Sensor Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/245/A-Holistic-Approach-to-Secure-Sensor-Networks</link>
  <description><![CDATA[Wireless sensor networks (WSNs) form a unique class of ad hoc networks
consisting of heterogeneous but highly resource-constrained devices
that can sense their environment and report sensed data to designated
nodes in the network. We present a holistic approach to improve the
performance of wireless sensor networks with respect to security,
longevity and connectivity under changing environmental
conditions. Our approach is two-fold: We have created a framework for
adaptability that det...]]></description>
  <dc:date>2005-08-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/266/Using-Ontologies-in-the-Semantic-Web-A-Survey">
  <title><![CDATA[Using Ontologies in the Semantic Web: A Survey]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/266/Using-Ontologies-in-the-Semantic-Web-A-Survey</link>
  <description><![CDATA[The Semantic Web is well recognized as an effective infrastructure to enhance
visibility of knowledge on the Web. The core of the Semantic Web is ontology,
which is used to explicitly represent our conceptualizations. Ontology engineering
in the Semantic Web is primarily supported by languages such as RDF, RDFS and
OWL. This chapter discusses the requirements of ontologies in the context of the
Web, compares the above three languages with existing knowledge representation
formalisms, an...]]></description>
  <dc:date>2005-07-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/235/A-Bayesian-Methodology-towards-Automatic-Ontology-Mapping">
  <title><![CDATA[A Bayesian Methodology towards Automatic Ontology Mapping]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/235/A-Bayesian-Methodology-towards-Automatic-Ontology-Mapping</link>
  <description><![CDATA[This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. The pro-posed method includes four components: 1) learning prob-abilities (priors about concepts, conditionals between sub-concepts and superconcepts, and raw semantic similarities between concepts in two different ontologies) using Naive Bayes text classification technique, by explicitl...]]></description>
  <dc:date>2005-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/238/The-SOUPA-Ontology-for-Pervasive-Computing">
  <title><![CDATA[The SOUPA Ontology for Pervasive Computing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/238/The-SOUPA-Ontology-for-Pervasive-Computing</link>
  <description><![CDATA[This paper describes SOUPA (Standard Ontology for Ubiquitous
and Pervasive Applications) and the use of this ontology in building the Con-
text Broker Architecture (CoBrA). CoBrA is a new agent architecture for
supporting pervasive context-aware systems in a smart space environment.
The SOUPA ontology is expressed using the Web Ontology Language OWL
and includes modular component vocabularies to represent intelligent agents
with associated beliefs, desire, and intentions, time, space, e...]]></description>
  <dc:date>2005-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/228/Applying-Ontologies-and-Semantic-Web-technologies-to-Environmental-Sciences-and-Engineering">
  <title><![CDATA[Applying Ontologies and Semantic Web technologies to Environmental Sciences and Engineering]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/228/Applying-Ontologies-and-Semantic-Web-technologies-to-Environmental-Sciences-and-Engineering</link>
  <description><![CDATA[The complexity and diversity of knowledge and terminology within environmental sciences and engineering is one of the key obstacles for successful interdisciplinary studies. Relevant data is difficult to locate and retrieve primarily due to varying formats, schemas and semantics. For example, for a typical modeling assignment a researcher needs to acquire knowledge of individual computational models, search, gather and analyze raw data, ensure the high quality of data, transform the data into...]]></description>
  <dc:date>2005-05-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/204/A-Bayesian-Approach-to-Uncertainty-Modeling-in-OWL-Ontology">
  <title><![CDATA[A Bayesian Approach to Uncertainty Modeling in OWL Ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/204/A-Bayesian-Approach-to-Uncertainty-Modeling-in-OWL-Ontology</link>
  <description><![CDATA[Dealing with uncertainty is crucial in ontology
engineering tasks such as domain modeling, ontology reasoning,
and concept mapping between ontologies. This paper presents our
on-going research on modeling uncertainty in ontologies based on
Bayesian networks (BN). This includes 1) extending OWL to
allow additional probabilistic markups for attaching probability
information, 2) directly converting a probabilistically annotated
OWL ontology into a BN structure by a set of structural
tran...]]></description>
  <dc:date>2004-11-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/156/Intelligent-Agents-Meet-Semantic-Web-in-a-Smart-Meeting-Room">
  <title><![CDATA[Intelligent Agents Meet Semantic Web in a Smart Meeting Room]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/156/Intelligent-Agents-Meet-Semantic-Web-in-a-Smart-Meeting-Room</link>
  <description><![CDATA[We describe a new smart meeting room system called
EasyMeeting that explores the use of FIPA agent technologies,
Semantic Web ontologies, logic reasoning, and security
and privacy policies. Building on a pervasive computing
system that we have developed previously, EasyMeeting
can provide relevant services and information to meeting
participants based on their situational needs. Our system
exploits the context-aware support provided by the Context
Broker Architecture (CoBrA). Central ...]]></description>
  <dc:date>2004-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/182/A-Pervasive-Computing-Ontology-for-User-Privacy-Protection-in-the-Context-Broker-Architecture">
  <title><![CDATA[A Pervasive Computing Ontology for User Privacy Protection in the Context Broker Architecture]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/182/A-Pervasive-Computing-Ontology-for-User-Privacy-Protection-in-the-Context-Broker-Architecture</link>
  <description><![CDATA[Privacy protection is a key requirement for the future pervasive computing systems. This paper describes the design and implementation of a privacy protection framework that exploits the SOUPA policy ontology and its associated policy reasoning algorithm. The SOUPA policy ontology expressed in the Web Ontology Language OWL allows users to define policy rules to permit or forbid actions that attempt to access the users' private information. Central to the policy reasoning algorithm is the use ...]]></description>
  <dc:date>2004-07-12</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 semantic web, hence, very crucial for the success of 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 are sets...]]></description>
  <dc:date>2004-06-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/172/Ontology-based-Semantic-Metadata-for-GeoScience-Data">
  <title><![CDATA[Ontology based Semantic Metadata for GeoScience Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/172/Ontology-based-Semantic-Metadata-for-GeoScience-Data</link>
  <description><![CDATA[In Geoscience domain, large amounts of data are accessible, however they vary in formats and are stored at various organizations leading to problems of data discovery, data interoperability and usability. In this paper, we propose a new semantic metadata paradigm based on ontologies and the use of Semantic Web languages. Our suggested data model ontology is used to guide the generation of metadata for individual datasets. This data model ontology defines elements to incorporate information ab...]]></description>
  <dc:date>2004-06-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/60/An-Ontology-for-Context-Aware-Pervasive-Computing-Environments">
  <title><![CDATA[An Ontology for Context-Aware Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/60/An-Ontology-for-Context-Aware-Pervasive-Computing-Environments</link>
  <description><![CDATA[Ontologies are a key component for building open
and dynamic distributed pervasive computing systems
in which agents and devices share contextual
information. We describe our use of the Web Ontology
Language OWL and other tools for building
the foundation ontology for the Context Broker Architecture
(CoBrA), a new context-aware pervasive
computing framework. The current version of the
CoBrA ontology models the basic concepts of people,
agents, places, and presentation events in an
i...]]></description>
  <dc:date>2004-05-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/144/Weaving-the-Web-of-Belief-into-the-Semantic-Web">
  <title><![CDATA[Weaving the Web of Belief into the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/144/Weaving-the-Web-of-Belief-into-the-Semantic-Web</link>
  <description><![CDATA[Collaboration, especially knowledge sharing, enables the advance of science as well as human society. In cyberspace, socializing the traditionally isolated intelligent software agents is an ultimate goal of the emerging Semantic Web activity. When making collaboration decisions, an agent usually needs explicitly represented facts about the agent world, such as ``who knows what" and ``who can do what". However, the limited computation and storage resources forbid an agent to independently main...]]></description>
  <dc:date>2004-05-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/78/An-Intelligent-Broker-for-Context-Aware-Systems">
  <title><![CDATA[An Intelligent Broker for Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/78/An-Intelligent-Broker-for-Context-Aware-Systems</link>
  <description><![CDATA[We describe Context Broker Architecture (CoBrA) – a new
architecture for supporting context-aware systems in smart
spaces. Our architecture explores the use of Semantic Web
languages for defining and publishing a context ontology,
for sharing information about a context and for reasoning
over such information. Central to our architecture is a broker
agent that maintains a shared model of the context for all
computing entities in the space and enforces the privacy policies
defined by...]]></description>
  <dc:date>2003-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/77/Semantic-Web-in-a-Pervasive-Context-Aware-Architecture">
  <title><![CDATA[Semantic Web in a Pervasive Context-Aware Architecture]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/77/Semantic-Web-in-a-Pervasive-Context-Aware-Architecture</link>
  <description><![CDATA[This document describes a new approach that explores the
use of Semantic Web languages in building an architecture
for supporting context-aware systems. This new architecture
called Context Broker Architecture (CoBrA) differs
from other architectures in using theWeb Ontlogy Language
OWL for modeling ontologies of context and for supporting
context reasoning. Central to our architecture is a broker
agent that maintains a shared model of context for all computing
entities in the space a...]]></description>
  <dc:date>2003-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/64/Modeling-Computer-Attacks-An-Ontology-for-Intrusion-Detection">
  <title><![CDATA[Modeling Computer Attacks: An Ontology for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/64/Modeling-Computer-Attacks-An-Ontology-for-Intrusion-Detection</link>
  <description><![CDATA[We state the benefits of transitioning from taxonomies to ontologies and ontology specification languages, which are able to simultaneously serve as recognition, reporting and correlation languages. We have produced an ontology specifying a model of computer attack using the DARPA Agent Markup Language+Ontology Inference Layer, a descriptive logic language. The ontologyrsquos logic is implemented using DAMLJessKB. We compare and contrast the IETFrsquos IDMEF, an emerging standard that uses XM...]]></description>
  <dc:date>2003-09-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/129/An-Ontology-for-Context-Aware-Pervasive-Computing-Environments">
  <title><![CDATA[An Ontology for Context-Aware Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/129/An-Ontology-for-Context-Aware-Pervasive-Computing-Environments</link>
  <description><![CDATA[Ontologies are a key component for building open
and dynamic distributed pervasive computing systems
in which agents and devices share contextual
information. We describe our use of the Web Ontology
Language OWL and other tools for building
the foundation ontology for the Context Broker Architecture
(CoBrA), a new context-aware pervasive
computing framework. The current version of the
CoBrA ontology models the basic concepts of people,
agents, places, and presentation events in an
i...]]></description>
  <dc:date>2003-08-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection">
  <title><![CDATA[A Target-Centric Ontology for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/63/A-Target-Centric-Ontology-for-Intrusion-Detection</link>
  <dc:date>2003-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/79/Using-OWL-in-a-Pervasive-Computing-Broker">
  <title><![CDATA[Using OWL in a Pervasive Computing Broker]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/79/Using-OWL-in-a-Pervasive-Computing-Broker</link>
  <description><![CDATA[Computing is moving toward a pervasive context-aware environment
in which agents with limited resources will require
external support to help them become context-aware.
In this paper, we describe an agent based architecture called
Context Broker Architecture (CoBrA) to help these agents
to acquire, reason about and share context knowledge. A
key component in our architecture is an explicit context ontology
defined using the Web Ontology Language (OWL).
This ontology models the basic c...]]></description>
  <dc:date>2003-07-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/246/Proceedings-of-the-Workshop-on-Ontologies-in-Agent-Systems-OAS-03">
  <title><![CDATA[Proceedings of the Workshop on Ontologies in Agent Systems (OAS'03]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/246/Proceedings-of-the-Workshop-on-Ontologies-in-Agent-Systems-OAS-03</link>
  <description><![CDATA[There is a growing interest in the use of ontologies in agent systems as a means to facilitate interoperability among diverse software components, in particular, where interoperability is achieved through the explicit modelling of the intended meaning of the concepts used in the interaction between diverse information sources, software components and/or service-providing software. The problems arising from the creation, maintenance, use and sharing of such semantic descriptions are perceived ...]]></description>
  <dc:date>2003-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/80/An-Intelligent-Broker-Architecture-for-Context-Aware-Systems">
  <title><![CDATA[An Intelligent Broker Architecture for Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/80/An-Intelligent-Broker-Architecture-for-Context-Aware-Systems</link>
  <description><![CDATA[Context-aware computing is an emerging paradigm to free everyday users
from manually configuring and instructing computer systems. As the general
trend of computing is progressing towards an open and dynamic infrastructure,
building context-aware systems can be difficult and costly. In order to build
successful context-aware systems, we must develop an architecture to reduce the
difficulty and cost of building these systems. This PhD. dissertation proposal
describes a research plan to d...]]></description>
  <dc:date>2002-12-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/110/A-Tool-For-Mapping-Between-Two-Ontologies-Using-Explicit-Information">
  <title><![CDATA[A Tool For Mapping Between Two Ontologies Using Explicit Information]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/110/A-Tool-For-Mapping-Between-Two-Ontologies-Using-Explicit-Information</link>
  <dc:date>2002-07-07</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/paper/html/id/311/The-DARPA-Knowledge-Sharing-Effort-Progress-Report">
  <title><![CDATA[The DARPA Knowledge Sharing Effort: Progress Report]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/311/The-DARPA-Knowledge-Sharing-Effort-Progress-Report</link>
  <description><![CDATA[Building knowledge-based systems today usually entails constructing a
new knowledge base from scratch.  Even if several groups of
researchers are working in the same general area, such as medicine or
electronic diagnosis, each team must develop its own knowledge base
from scratch. The cost of this duplication of effort has been high and
will become prohibitive as we build larger and larger
systems. Furthermore, lack of methodology for sharing and
communicating knowledge poses a signica...]]></description>
  <dc:date>1992-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/289/Enabling-Technology-for-Knowledge-Sharing">
  <title><![CDATA[Enabling Technology for Knowledge Sharing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/289/Enabling-Technology-for-Knowledge-Sharing</link>
  <description><![CDATA[Building new knowledge-based systems today usually entails constructing new knowledge bases from scratch. It could instead be done by assembling reusable components. System developers would then only need to worry about creating the specialized knowledge and reasoners new to the specific task of their system. This new system would interoperate with existing systems, using them to perform some of its reasoning. In this way, declarative knowledge, problem- solving techniques, and reasoning serv...]]></description>
  <dc:date>1991-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-">
  <title><![CDATA[The Intelligent Database Interface,]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/276/The-Intelligent-Database-Interface-</link>
  <description><![CDATA[The Intelligent Database Interface IDI is a cache-based interface that is designed to provide Articial Intelligence systemswith ecient access tooneormore databases on one or more remote database management systems DBMSs .  It can be used to interface with a wide variety of dierent DBMSs with little or no modication since SQL is used to communicate with remote DBMSs and the implementation of the IDI provides a high degree of portability. The query language of the IDI is a restricted subset of ...]]></description>
  <dc:date>1990-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/348/Interactive-classification-A-technique-for-acquiring-and-maintaining-knowledge-bases">
  <title><![CDATA[Interactive classification: A technique for acquiring and maintaining knowledge bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/348/Interactive-classification-A-technique-for-acquiring-and-maintaining-knowledge-bases</link>
  <description><![CDATA[The practical application of knowledge-based systems, such as in expert systems, often requires the maintenance of large amounts of declarative knowledge. As a knowledge base (KB) grows in size and complexity, it becomes more difficult to maintain and extend. Even someone who is familiar with the knowledge domain, how it is represented in the KB, and the actual contents of the current KB may have severe difficulties in updating it. Even if the difficulties can be tolerated, there is a very re...]]></description>
  <dc:date>1986-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/12/A-Proposal-for-Pervasive-Computing-Standard-Ontology">
  <title><![CDATA[A Proposal for Pervasive Computing Standard Ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/12/A-Proposal-for-Pervasive-Computing-Standard-Ontology</link>
  <description><![CDATA[This document describes a proposal for defining a standard ontology for supporting knowledge sharing and communication interoperability in pervasive computing applications.]]></description>
  <dc:date>2003-12-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/75/An-Intelligent-Broker-for-Pervasive-Context-Aware-Systems">
  <title><![CDATA[An Intelligent Broker for Pervasive Context-Aware Systems]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/75/An-Intelligent-Broker-for-Pervasive-Context-Aware-Systems</link>
  <description><![CDATA[Presentation slides used in Harry Chen's PhD dissertation defense.

Context-aware systems exploit the use of situational information, or context, to provide relevant information and services to users. A great challenge remains in defining an architecture that supports context-aware systems. Critical research issues include modeling and reasoning (how to represent contextual information for machine processing and reasoning), knowledge sharing (how to enable agents to acquire consistent knowl...]]></description>
  <dc:date>2004-12-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/1/CoBrA">
  <title><![CDATA[CoBrA]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/1/CoBrA</link>
  <description><![CDATA[The Context Broker Architecture Web Site]]></description>
  <dc:date>2003-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/2/MoGATU">
  <title><![CDATA[MoGATU]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/2/MoGATU</link>
  <description><![CDATA[MoGATU's web site]]></description>
  <dc:date>2003-10-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/224/Rei-Ontology-Specifications-Ver-2-0">
  <title><![CDATA[Rei Ontology Specifications, Ver 2.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/224/Rei-Ontology-Specifications-Ver-2-0</link>
  <description><![CDATA[Rei is a policy specification language in OWL-Lite that allows users to develop declarative policies over domain specific ontologies in RDF, DAML+OIL and OWL.

Rei is used to describe positive and negative permissions and obligations of entities in the policy domain. A distinguishing feature of Rei is that it includes specifications for speech acts, policy analysis and conflict resolution. The speech included are delegation, revocation, request and cancel and are used for remote policy mana...]]></description>
  <dc:date>2007-05-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/13/Semantic-Web-in-UbiComp-SIG">
  <title><![CDATA[Semantic Web in UbiComp SIG]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/13/Semantic-Web-in-UbiComp-SIG</link>
  <description><![CDATA[Discussing the use of semantic web technologies (e.g., SW ontologies, SW languages RDF, RDFS, DAML+OWL, OWL, and ontology reasoners) in supporting ubiquitous computing systems.

This is an open discussion group. Related news and announcement posts are also welcome.]]></description>
  <dc:date>2003-12-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/194/Semantically-Linked-Bayesian-Networks">
  <title><![CDATA[Semantically-Linked Bayesian Networks]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/194/Semantically-Linked-Bayesian-Networks</link>
  <description><![CDATA[At the present time, Bayesian networks (BNs), presumably the most popular uncertainty inference framework, are still widely used as standalone systems. When the problem itself is distributed, domain knowledge has to be centralized and unified before a single BN can be created. Alternatively, separate BNs describing related sub-domains or different aspects of the same domain may be created, but it is difficult to combine them for problem solving even if the interdependent relations between var...]]></description>
  <dc:date>2006-08-02</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/131/Sensor-Node-Ontology">
  <title><![CDATA[Sensor Node Ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/131/Sensor-Node-Ontology</link>
  <description><![CDATA[Describes various states of a sensor node depending upon states of its constituent modules.]]></description>
  <dc:date>2005-08-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology">
  <title><![CDATA[Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology</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 W...]]></description>
  <dc:date>2007-10-01</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/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/165/Semantically-Linked-Bayesian-Networks-A-Framework-for-Probabilistic-Inference-Over-Multiple-Bayesian-Networks">
  <title><![CDATA[Semantically-Linked Bayesian Networks: A Framework for Probabilistic Inference Over Multiple Bayesian Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/165/Semantically-Linked-Bayesian-Networks-A-Framework-for-Probabilistic-Inference-Over-Multiple-Bayesian-Networks</link>
  <description><![CDATA[At the present time, Bayesian networks (BNs), presumably the most popular uncertainty inference framework, are still widely used as standalone systems. When the problem itself is distributed, domain knowledge has to be centralized and unified before a single BN can be created. Alternatively, separate BNs describing related sub-domains or different aspects of the same domain may be created, but it is difficult to combine them for problem solving even if the interdependent relations between var...]]></description>
  <dc:date>2006-08-02</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/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/15/My-Experience-in-Building-Ontology-driven-Applications">
  <title><![CDATA[My Experience in Building Ontology-driven Applications]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/15/My-Experience-in-Building-Ontology-driven-Applications</link>
  <description><![CDATA[In this presentation I describe the role of OWL ontologies in pervasive computing systems, the ontology development cycle and pitfalls. A short review of the different kinds of ontology tools is also presented.]]></description>
  <dc:date>2004-02-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/conference/html/id/18/ontology-for-the-intelligence-community">
  <title><![CDATA[ontology for the intelligence community]]></title>
  <link>http://ebiquity.umbc.edu/conference/html/id/18/ontology-for-the-intelligence-community</link>
  <description><![CDATA[The increasing volume, variety and velocity of intelligence analysis in the post 9/11 era requires new approaches to information system design that enable greater flexibility, precision, timeliness and automation of analysis to maximize valuable human resources in responding to fast-evolving threats. Ontology-based technology as applied in areas such as bioinformatics has demonstrated the possibility of gains along all these dimensions. The time is right to take ontology seriously also in oth...]]></description>
  <dc:date>2006-11-30</dc:date>
 </item>
</rdf:RDF>
