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 ...
Approximate string matching is an important paradigm in domains ranging from speech recognition to information retrieval and molecular biology. In this paper, we introduce a new f...
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...
Abstract. Databases, particularly when storing heterogeneous, sparse semistructured data, tend to provide incomplete information and information which is difficult to categorize. T...
Simone Diniz Junqueira Barbosa, Karin Koogan Breit...