Information Retrieval (IR) systems try to identify documents relevant to user queries, which are representations of user information needs. Interaction, context, and document struc...
In this paper, we have proposed a novel comprehensive structural framework for the construction of ontology from a given legal corpus for the purpose of query enhancement to pick r...
Modern web search engines are expected to return top-k results efficiently given a query. Although many dynamic index pruning strategies have been proposed for efficient top-k com...
MUSART is a research project developing and studying new techniques for music information retrieval. The MUSART architecture uses a variety of representations to support multiple ...
In this paper, we propose a set of similarity metrics for manipulating collections of values occuring in XML documents. Following the data model presented in TAX algebra, we treat...
Carina F. Dorneles, Carlos A. Heuser, Andrei E. N....