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dc.contributor.authorDervos, Dimitris A.
dc.contributor.authorColeman, Anita Sundaram
dc.contributor.editorBudin, Gerharden_US
dc.contributor.editorSwertz, Christianen_US
dc.date.accessioned2006-09-24T00:00:01Z
dc.date.available2010-06-18T23:45:05Z
dc.date.issued2006en_US
dc.date.submitted2006-09-24en_US
dc.identifier.citationA Common Sense Approach to Defining Data, Information, and Metadata 2006, 10en_US
dc.identifier.urihttp://hdl.handle.net/10150/106355
dc.description.abstractThis is a preprint of a paper published. Dervos, D. and Coleman, A. (2006). A Common Sense Approach to Defining Data, Information and Metadata. Advances in Knowledge Organization: Proceedings of the Ninth International Society for Knowledge Organization 2006 Conference, Vienna. June 2006, Edited by G. Budin and C. Swertz. Berlin: Ergon. Abstract: Many competing definitions for the terms data, information, metadata, and knowledge can be traced in the library and information science literature. The lack of a clear consensus in the way reference is made to the corresponding fundamental concepts is intensified if one considers additional disciplinary perspectives, e.g. database technology, data mining, etc. In the present paper, we use a common sense approach borrowed from the data mining community, which has successfully solved many data processing problems, to selectively survey the literature, and define these terms in a way that can advance the interdisciplinary development of information systems.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherErgon-Verlagen_US
dc.subjectInformation Scienceen_US
dc.subjectMetadataen_US
dc.titleA Common Sense Approach to Defining Data, Information, and Metadataen_US
dc.typeConference Paperen_US
refterms.dateFOA2018-08-21T17:29:08Z
html.description.abstractThis is a preprint of a paper published. Dervos, D. and Coleman, A. (2006). A Common Sense Approach to Defining Data, Information and Metadata. Advances in Knowledge Organization: Proceedings of the Ninth International Society for Knowledge Organization 2006 Conference, Vienna. June 2006, Edited by G. Budin and C. Swertz. Berlin: Ergon. Abstract: Many competing definitions for the terms data, information, metadata, and knowledge can be traced in the library and information science literature. The lack of a clear consensus in the way reference is made to the corresponding fundamental concepts is intensified if one considers additional disciplinary perspectives, e.g. database technology, data mining, etc. In the present paper, we use a common sense approach borrowed from the data mining community, which has successfully solved many data processing problems, to selectively survey the literature, and define these terms in a way that can advance the interdisciplinary development of information systems.


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