Effective extraction of query relevant information present within documents on the web is a nontrivial task. In this paper we present our system called QueSTS, which does the abov...
M. Sravanthi, C. Ravindranath Chowdary, P. Sreeniv...
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
Abstract. This paper studies the RDF model from a database perspective. From this point of view it is compared with other database models, particularly with graph database models, ...
Query rewriting is a fundamental task in query optimization and data integration. With the advent of the web, there has been renewed interest in data integration, where data is dis...
Xia Yang, Mong-Li Lee, Tok Wang Ling, Gillian Dobb...
Abstract. The heterogeneity nature of XML data creates the need for approximate query answering. In this paper, we present an XML system that cooperates with users to provide user-...