<?xml version="1.0"?>

<!DOCTYPE owl [
	<!ENTITY rdf "http://www.w3.org/1999/02/22-rdf-syntax-ns#">
	<!ENTITY rdfs "http://www.w3.org/2000/01/rdf-schema#">
	<!ENTITY xsd "http://www.w3.org/2001/XMLSchema#">
	<!ENTITY owl "http://www.w3.org/2002/07/owl#">
	<!ENTITY cc "http://web.resource.org/cc/#">
	<!ENTITY project "http://ebiquity.umbc.edu/ontology/project.owl#">
	<!ENTITY person "http://ebiquity.umbc.edu/ontology/person.owl#">
	<!ENTITY pub "http://ebiquity.umbc.edu/ontology/publication.owl#">
	<!ENTITY assert "http://ebiquity.umbc.edu/ontology/assertion.owl#">
]>

<!--

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
94305, USA.

-->

<rdf:RDF 
		xmlns:rdf = "&rdf;"
		xmlns:rdfs = "&rdfs;"
		xmlns:xsd = "&xsd;"
		xmlns:owl = "&owl;"
		xmlns:cc = "&cc;"
		xmlns:project = "&project;"
		xmlns:person = "&person;"
		xmlns:pub = "&pub;"
		xmlns:assert = "&assert;">
	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/812/Automated-Knowledge-Extraction-from-the-Federal-Acquisition-Regulations-System-FARS-">
		<rdfs:label><![CDATA[Automated Knowledge Extraction from the Federal Acquisition Regulations System (FARS)]]></rdfs:label>
		<pub:title><![CDATA[Automated Knowledge Extraction from the Federal Acquisition Regulations System (FARS)]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2017-12-11T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[With increasing regulation of Big Data, it is becoming essential for organizations to ensure compliance with various data protection standards. The Federal Acquisition Regulations System (FARS) within the Code of Federal Regulations (CFR) includes facts and rules for individuals and organizations seeking to do business with the US Federal government. Parsing and gathering knowledge from such lengthy regulation documents is currently done manually and is time and human intensive.Hence, developing a cognitive assistant for automated analysis of such legal documents has become a necessity. We have developed semantically rich approach to automate the analysis of legal documents and have implemented a system to capture various facts and rules contributing towards building an efﬁcient legal knowledge base that contains details of the relationships between various legal elements, semantically similar terminologies, deontic expressions and cross-referenced legal facts and rules. In this paper, we describe our framework along with the results of automating knowledge extraction from the FARS document (Title48, CFR). Our approach can be used by Big Data Users to automate knowledge extraction from Large Legal documents. ]]></pub:abstract>
		<pub:counter>1771</pub:counter>
		<pub:booktitle><![CDATA[2nd International Workshop on Enterprise Big Data Semantic and Analytics Modeling at IEEE  International Conference on Big Data 2017 ]]></pub:booktitle>
		<pub:author>
			<rdf:List>
				<rdf:first>
					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Karuna/Joshi"><person:name><![CDATA[Karuna Pande Joshi]]></person:name><rdfs:label><![CDATA[Karuna Pande Joshi]]></rdfs:label></person:Person>
				</rdf:first>
				<rdf:rest>					<rdf:List>
						<rdf:first>
							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Srishty/Saha"><person:name><![CDATA[Srishty Saha]]></person:name><rdfs:label><![CDATA[Srishty Saha]]></rdfs:label></person:Person>
						</rdf:first>
						<rdf:rest>							<rdf:List>
								<rdf:first>
									<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Jiayong/Lin"><person:name><![CDATA[Jiayong Lin]]></person:name><rdfs:label><![CDATA[Jiayong Lin]]></rdfs:label></person:Person>
								</rdf:first>
								<rdf:rest>									<rdf:List>
										<rdf:first>
											<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Michael/Aebig"><person:name><![CDATA[Michael Aebig]]></person:name><rdfs:label><![CDATA[Michael Aebig]]></rdfs:label></person:Person>
										</rdf:first>
										<rdf:rest>											<rdf:List>
												<rdf:first>
													<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Renee/Frank"><person:name><![CDATA[Renee Frank]]></person:name><rdfs:label><![CDATA[Renee Frank]]></rdfs:label></person:Person>
												</rdf:first>
												<rdf:rest rdf:resource="&rdf;nil" />
											</rdf:List>
										</rdf:rest>
									</rdf:List>
								</rdf:rest>
							</rdf:List>
						</rdf:rest>
					</rdf:List>
				</rdf:rest>
			</rdf:List>
		</pub:author>
		<pub:firstAuthor>
<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Karuna/Joshi"><person:name><![CDATA[Karuna Pande Joshi]]></person:name><rdfs:label><![CDATA[Karuna Pande Joshi]]></rdfs:label></person:Person>
		</pub:firstAuthor>
		<pub:relatedProject><project:PastProject rdf:about="http://ebiquity.umbc.edu/project/html/id/105/ALDA-Automated-Legal-Document-Analytics"><project:title><![CDATA[ALDA: Automated Legal Document Analytics]]></project:title><rdfs:label><![CDATA[ALDA: Automated Legal Document Analytics]]></rdfs:label></project:PastProject></pub:relatedProject>
		<pub:softCopy><pub:SoftCopy>
			<pub:softCopyFormat><![CDATA[PDF Document]]></pub:softCopyFormat>
			<pub:softCopyURI><![CDATA[http://ebiquity.umbc.edu/get/a/publication/875.pdf]]></pub:softCopyURI>
			<pub:softCopySize>220867</pub:softCopySize>
			</pub:SoftCopy>
			</pub:softCopy>
	</pub:InProceedings>

<rdf:Description rdf:about="">
	<cc:License rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
</rdf:Description>

</rdf:RDF>
