Information Retrieval and the Semantic Web

Simple item page
dc.contributor.authorFinin, Tim
dc.contributor.authorMayfield, James
dc.contributor.authorFink, Clay
dc.contributor.authorJoshi, Anupam
dc.contributor.authorCost, R. Scott
dc.date.accessioned2018-12-04T18:26:40Z
dc.date.available2018-12-04T18:26:40Z
dc.date.issued2005-01-03
dc.descriptionProceedings of the 38th International Conference on System Sciencesen
dc.description.abstractInformation retrieval technology has been central to the success of the Web. For semantic web documents or annotations to have an impact, they will have to be compatible with Web based indexing and retrieval technology. We discuss some of the underlying problems and issues central to extending information retrieval systems to handle annotations in semantic web languages. We also describe three prototype systems that we have implemented to explore these ideas.en
dc.description.sponsorshipPartial research support provided by DARPA contract F30602-00-0591 and NSF award IIS-0326460. We acknowledge many contributions from colleagues in the UMBC ebiquity research group and in the Distributed Information Systems section of the Johns Hopkins University Applied Physics Laboratory.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/185/Information-Retrieval-and-the-Semantic-Weben
dc.format.extent10 pagesen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/M2Z892K1F
dc.identifier.urihttp://hdl.handle.net/11603/12169
dc.language.isoenen
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.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.subjectfoafen
dc.subjectinformation retrievalen
dc.subjectsemantic weben
dc.subjectswoogleen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleInformation Retrieval and the Semantic Weben
dc.typeTexten

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection