You are here

Technique for eliminating irrelevant terms in term rewriting for annotated media retrieval

TitleTechnique for eliminating irrelevant terms in term rewriting for annotated media retrieval
Publication TypeConference Paper
Year of Publication2001
AuthorsPark, YC, Kim, PK, Golshani, F, Panchanathan, S
Conference NameProceedings of the ninth ACM international conference on Multimedia
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number1-58113-394-4
Abstract

In this paper, we present an efficient term rewriting technique that computes a degree of term to domain relevance. The proposed method resolves the problems in ontology integrated concept search. Those problems are (i) Pre-defined concept classes in ontology are not relevant to users (no proper concept class for a target annotation has not found). (ii) Too many similar concept classes are provided to a user therefore, a user may fail to choose a correct semantic class for a target annotation (ordinary users are not an expert in concept classification). The method uses sense disambiguation task for finding relevant terms for a given domain. Sense disambiguation requires term-to-term similarity measurement and term frequency measurement. For fair modeling of not observed term frequencies, discounting and redistribution model is applied. The proposed method is a compliment to our previous work presented in [13][14]. Robustness of our method is demonstrated through human judgment test that shows our method allows prediction of precise term list (overall 75% of correct prediction) that are relevant to a given domain.

URLhttp://doi.acm.org/10.1145/500141.500247
DOI10.1145/500141.500247