<?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/548/Content-based-prediction-of-temporal-boundaries-for-events-in-Twitter">
		<rdfs:label><![CDATA[Content-based prediction of temporal boundaries for events in Twitter]]></rdfs:label>
		<pub:title><![CDATA[Content-based prediction of temporal boundaries for events in Twitter]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2011-10-09T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[Social media services like Twitter, Flickr and YouTube publish high volumes of user generated content as a major event occurs, making them a potential data source for event analysis. The large volume and noisy content of social media makes automatic preprocessing essential. Intuitively, the eventrelated data falls into three major phases: the buildup to the event, the event itself, and the post-event effects and repercussions.  We describe an approach to automatically determine when an anticipated event started and ended by analyzing the content of tweets using an SVM classifier and hidden Markov model.  We evaluate our performance by predicting event boundaries on Twitter data for a set of events in the domains of sports, weather and social activities.]]></pub:abstract>
		<pub:counter>2523</pub:counter>
		<pub:tag><![CDATA[hmm]]></pub:tag>
		<pub:tag><![CDATA[learning]]></pub:tag>
		<pub:tag><![CDATA[social media]]></pub:tag>
		<pub:booktitle><![CDATA[Proceedings of the Third IEEE International Conference on Social Computing]]></pub:booktitle>
		<pub:publisher><![CDATA[IEEE Computer Society]]></pub:publisher>
		<pub:author>
			<rdf:List>
				<rdf:first>
					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Anupam/Joshi"><person:name><![CDATA[Anupam Joshi]]></person:name><rdfs:label><![CDATA[Anupam Joshi]]></rdfs:label></person:Person>
				</rdf:first>
				<rdf:rest>					<rdf:List>
						<rdf:first>
							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Tim/Finin"><person:name><![CDATA[Tim Finin]]></person:name><rdfs:label><![CDATA[Tim Finin]]></rdfs:label></person:Person>
						</rdf:first>
						<rdf:rest>							<rdf:List>
								<rdf:first>
									<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Akshaya/Iyengar"><person:name><![CDATA[Akshaya Iyengar]]></person:name><rdfs:label><![CDATA[Akshaya Iyengar]]></rdfs:label></person:Person>
								</rdf:first>
								<rdf:rest rdf:resource="&rdf;nil" />
							</rdf:List>
						</rdf:rest>
					</rdf:List>
				</rdf:rest>
			</rdf:List>
		</pub:author>
		<pub:firstAuthor>
<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Anupam/Joshi"><person:name><![CDATA[Anupam Joshi]]></person:name><rdfs:label><![CDATA[Anupam Joshi]]></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/576.pdf]]></pub:softCopyURI>
			<pub:softCopySize>568683</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>
