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	<pub:PhdThesis rdf:about="http://ebiquity.umbc.edu/paper/html/id/215/Agent-Based-Services-for-the-Semantic-Web">
		<rdfs:label><![CDATA[Agent-Based Services for the Semantic Web]]></rdfs:label>
		<pub:title><![CDATA[Agent-Based Services for the Semantic Web]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2004-08-01T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[The semantic web suggests having data and information on the web defined
and linked in a way that it is both human readable and machine
understandable. Machine understandability means that data has been
explicitly prepared for programs and softrware agents to reason about and
reuse. However, most current software agents have not been designed to run
in a web environment: the software agents and web components are working
in different models.  For example, most software agent frameworks and
tools do not support reasoning over content expressed in a mixture of
several ontologies. Web components, on the other hand, lack notions of
autonomy and a rich message-oriented communication.  This thesis suggests
adding to a semantic web site a dedicated service agent, capable of
understanding the ontologies used by the site and answering queries about
the content found on the site. Semantic web tasks are accomplished by the
cooperation of personal agents, service agents and semantic web servers.
The semantic web language OWL is used as the agent content language for
message passing and interaction. An OWL inference engine, F-OWL, has been
developed to manage logical sentences explicitly stated in the web
documents as well as those that can be inferred. Within this thesis, TAGA
system, a Trading Agent System running in the open Agentcities platform,
is used to support the hypothesis and demonstrate how the software agent
and semantic web paradigms can be integrated.
<p>
We see two main contributions in our work.  First, this thesis presents an
enhanced semantic web vision involving software agents, semantic web and
web services. Both human and software agents can directly access the
semantic-marked web pages through web interface. An agent communicates
with other agents by exchanging messages encoded in a semantically rich
agent communication language. Both web services and agent services are
described in a semantically rich language to improve the interoperability.
The personal agents and service agents work together to understand the
semantic web content, automate web services and better serve humans.
Second, the TAGA system attests this semantic web vision and provides a
flexible environment for simulating agent-based trading in dynamic
markets.]]></pub:abstract>
		<pub:note><![CDATA[PhD dissertation]]></pub:note>
		<pub:counter>6586</pub:counter>
		<pub:googleKey>yXTkNk3RJGcJ</pub:googleKey>
		<pub:googleCitations>4</pub:googleCitations>
		<pub:publisher><![CDATA[UMBC, Department of Computer Science and Electrical Engineering]]></pub:publisher>
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					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Youyong/Zou"><person:name><![CDATA[Youyong Zou]]></person:name><rdfs:label><![CDATA[Youyong Zou]]></rdfs:label></person:Person>
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<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Youyong/Zou"><person:name><![CDATA[Youyong Zou]]></person:name><rdfs:label><![CDATA[Youyong Zou]]></rdfs:label></person:Person>
		</pub:firstAuthor>
		<pub:softCopy><pub:SoftCopy>
			<pub:softCopyFormat><![CDATA[PDF Document]]></pub:softCopyFormat>
			<pub:softCopyURI><![CDATA[http://ebiquity.umbc.edu/get/a/publication/153.pdf]]></pub:softCopyURI>
			<pub:softCopySize>1011577</pub:softCopySize>
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