dc.contributor.author | Pedersen, Asle | |
dc.date.accessioned | 2007-07-25T12:20:50Z | |
dc.date.issued | 2001 | |
dc.identifier.uri | http://hdl.handle.net/11250/137410 | |
dc.description | Masteroppgave i informasjons- og kommunikasjonsteknologi 2001 - Høgskolen i Agder, Grimstad | en |
dc.description.abstract | This report presents a semi-automated approach to web Resource Discovery based
on an architecture in which both human learning and machine learning is integrated
in the same model. The fundamental idea of the semi-automated approach is to let
the machine automatically identify semantic ambiguities and ask a human analyst to
resolve them. An application prototype is developed that demonstrates an
experimental Focused Crawler algorithm and the use of the ISO 13250 Topic Map
standard for the purpose of knowledge representation. The main area of deployment
is for use in Competitive Intelligence activities on the Internet. | en |
dc.format.extent | 793961 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | en |
dc.publisher | Høgskolen i Agder | |
dc.publisher | Agder University College | |
dc.subject.classification | IKT590 | |
dc.title | Semi-automated web resource discovery and analysis : an approach based on interactive machine learning principles | en |
dc.type | Master thesis | en |
dc.subject.nsi | VDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Algoritmer og beregnbarhetsteori: 422 | |
dc.subject.nsi | VDP::Matematikk og naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Kunnskapsbaserte systemer: 425 | |