We present a novel approach to query reformulation which combines syntactic and semantic information by means of generalized Levenshtein distance algorithms where the substitution...
Amac Herdagdelen, Massimiliano Ciaramita, Daniel M...
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Abstract. Query reformulation techniques based on semantic knowledge have been used in two ways in database management systems, namely for query optimization and for data integrati...
Abstract. The need for location-based services has motivated an important research effort in the efficient processing of location-dependent queries. Most of the existing approaches...