Vis enkel innførsel

dc.contributor.advisorDowning, Keithnb_NO
dc.contributor.authorRykkelid, Håvardnb_NO
dc.date.accessioned2014-12-19T13:34:08Z
dc.date.available2014-12-19T13:34:08Z
dc.date.created2010-09-05nb_NO
dc.date.issued2006nb_NO
dc.identifier348987nb_NO
dc.identifierntnudaim:1539nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/251422
dc.description.abstractIn testing the viability of automatic knowledge-acquisition, using simple techniques and brute force on the Internet, a system was implemented in Java. Techniques from both multi-agent system and swarm intelligence paradigms were used to structure the system, improve searches, increase stability and increase modularity. The system presented relies on using existing search-engines to find texts on the World Wide Web, containing a user-specified key-word. Knowledge is identified in the texts using key-sentences, terms related to the key-word becomes new key-words in an incremental search. The result is expressed as sentences in a KR-language. The answers from a run were often interesting and surprising, and gave information beyond an encyclopedic scope, even if the answers often contained false information. The results of the implemented system verified the viability of both the designed framework and the theory behind it.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectMIT informatikkno_NO
dc.subjectKunstig intelligens og læringno_NO
dc.titleSwarm-based information retrieval: Automatic knowledge-acquisition using MAS, SI and the Internetnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber67nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


Tilhørende fil(er)

Thumbnail
Thumbnail
Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel