Personalized Knowledge Mining in Large Text Sets

• Autorzy: Chudzian C. , Granat J. , Klimasara E. , Sobieszek J. , Wierzbicki A. P.
• Języki publikacji: EN

Abstrakty

EN

The paper starts with a discussion of the concept of knowledge engineering, in particular ontological engineering. Consequently, the paper presents assumptions accepted as a basis for a group research on a radically personalized system of ontological knowledge mining, relying on the perspective of human centered computing and combining ontological concepts of the user with an ontology resulting from an automatic classification of a given set of textual data. The paper presents a pilot system PrOnto that supports research work in two aspects: searching for information interesting for a user according to her/his personalized ontological profile, and supporting research cooperation in a group of users (Virtual Research Community) according, e.g., to a comparison of such personalized ontological profiles. The paper concludes with suggestions concerning diverse applications of ontological engineering tools and future work.

Słowa kluczowe

EN

human centered computing; knowledge engineering; ontological engineering; personalized ontology

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2011
• Tom: nr 3
• Strony: 123--130
• Opis fizyczny: Bibliogr. 35 poz., rys.

Twórcy

autor

Chudzian C.

autor

Granat J.

autor

Klimasara E.

autor

Sobieszek J.

autor

Wierzbicki A. P.

• National Institute of Telecommunications, Szachowa st 1, 04-894 Warsaw, Poland,

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