Ontology based Semantic Metadata for GeoScience Data

dc.contributor.authorParekh, Viral
dc.contributor.authorGwo, Jin-Ping
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-12-13T16:27:13Z
dc.date.available2018-12-13T16:27:13Z
dc.date.issued2004-06-21
dc.descriptionProceedings of the International Conference on Information and Knowledge Engineeringen_US
dc.description.abstractIn Geoscience domain, large amounts of data are accessible, however they vary in formats and are stored at various organizations leading to problems of data discovery, data interoperability and usability. In this paper, we propose a new semantic metadata paradigm based on ontologies and the use of Semantic Web languages. Our suggested data model ontology is used to guide the generation of metadata for individual datasets. This data model ontology defines elements to incorporate information about data identification, spatial extent, temporal extent, data presentation form, data content and data distribution regarding the dataset. Combining domain specific ontologies with this data model ontology offers a new approach to the generation of semantic metadata for datasets. The system allows the data provider to select concepts from domain ontologies that best describe the content within the dataset. This selection along with the links to domain ontologies is stored within the metadata file, thereby generating semantic metadata for the dataset. This metadata is capable of facilitating the end users of data with content based discovery of datasets irrespective of their locations and formats.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/172/Ontology-based-Semantic-Metadata-for-GeoScience-Dataen_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2GM81S6V
dc.identifier.urihttp://hdl.handle.net/11603/12254
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 Student 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.subjectontologyen_US
dc.subjectdata discoveryen_US
dc.subjectmetadata schemaen_US
dc.subjectsemantic weben_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleOntology based Semantic Metadata for GeoScience Dataen_US
dc.typeTexten_US

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