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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/1039/Artifact-SmartSPEC-Customizable-Smart-Space-Datasets-via-Event-driven-Simulations">
		<rdfs:label><![CDATA[Artifact: SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations]]></rdfs:label>
		<pub:title><![CDATA[Artifact: SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2022-03-01T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[This artifact abstract is a guideline for SmartSPEC, a simulator for generating customizable smart space datasets using semantic models of spaces, people, events, and sensors.  SmartSPEC is based on two main components: (i) Scenario Learning which produces metamodels of events and people using input seed data; and (ii) Scenario Generation, which uses SmartSPEC data to generate a realistic smart space dataset.  SmartSPEC provides three modes of operation to generate]]></pub:abstract>
		<pub:pages><![CDATA[183-184]]></pub:pages>
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		<pub:booktitle><![CDATA[20th International Conference on Pervasive Computing and Communications]]></pub:booktitle>
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