Personal Agents on the Semantic Web

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dc.contributor.authorKunjithapatham, Anugeetha
dc.contributor.authorSheshagiri, Mithun
dc.contributor.authorFinin, Tim
dc.contributor.authorJoshi, Anupam
dc.contributor.authorPeng, Yun
dc.date.accessioned2018-12-19T20:01:52Z
dc.date.available2018-12-19T20:01:52Z
dc.date.issued2003-10-20
dc.descriptionProceedings of Second International Semantic Web Conference
dc.description.abstractPersonal assistants gather and filter relevant information and compose it into a coherent picture with regard to the user’s preferences. An intrinsic and important prerequisite for a personal assistant or rather any agent is to manipulate information avail- able on the Semantic Web in the form of ontologies, axioms, and rules written in various semantic markup languages. ;the means of information gathering being centralized (event notification services) or decentralized (peer agents). In this paper, a model architecture for such a personal assistant, that deals with real-world semantic markup is described.en_US
dc.description.sponsorshipThis research was supported in part by DARPA contract F30602-97-1-0215.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/614/Personal-Agents-on-the-Semantic-Weben_US
dc.format.extent2 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2obgv-fy3p
dc.identifier.urihttp://hdl.handle.net/11603/12322
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectpersonal agentsen_US
dc.subjectsemantic weben_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titlePersonal Agents on the Semantic Weben_US
dc.typeTexten_US

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