"Ranked retrieval with semantic networks and vector spaces" by Vladimir Kulyukin

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Ranked retrieval with semantic networks and vector spaces

Journal of the American Society for Information Science and Technology (2001)

Vladimir Kulyukin
Amber Settle

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Abstract

The equivalence of semantic networks with spreading activation and vector spaces with dot product is investigated under ranked retrieval. Semantic networks are viewed as networks of concepts organized in terms of abstraction and packaging relations. It is shown that the two models can be effectively constructed from each other. A formal method is suggested to analyze the models in terms of their relative performance in the same universe of objects.

Disciplines

Computer Sciences

Publication Date

October, 2001

DOI

10.1002/asi.1190

Citation Information

Vladimir Kulyukin and Amber Settle. "Ranked retrieval with semantic networks and vector spaces" Journal of the American Society for Information Science and Technology Vol. 52 Iss. 14 (2001) p. 1224 - 1233 ISSN: 1532-2882
Available at: http://works.bepress.com/asettle/70/