A Semantic Similarity Measure for Expressive Description Logics

Details A Semantic Similarity Measure for Expressive Description Logics A Semantic Similarity Measure for Expressive Description Logics

2009-11-26

arxiv.org/abs/0911.5043v1

Computer Science

Artificial Intelligence

13 pages, Appeared at CILC 2005, Convegno Italiano di Logica Computazionale also available at http://www.disp.uniroma2.it/CI

Scientific paper

A totally semantic measure is presented which is able to calculate a similarity value between concept descriptions and also between concept description and individual or between individuals expressed in an expressive description logic. It is applicable on symbolic descriptions although it uses a numeric approach for the calculus. Considering that Description Logics stand as the theoretic framework for the ontological knowledge representation and reasoning, the proposed measure can be effectively used for agglomerative and divisional clustering task applied to the semantic web domain.

Affiliated with

Also associated with

No associations

Rating

A Semantic Similarity Measure for Expressive Description Logics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Semantic Similarity Measure for Expressive Description Logics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Semantic Similarity Measure for Expressive Description Logics will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-116500