We consider the problem of finding similarities in protein structure databases. Our techniques extract feature vectors on triplets of SSEs (Secondary Structure Elements). Later, ...
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...
This paper explores the problem of computing pairwise similarity on document collections, focusing on the application of “more like this” queries in the life sciences domain. ...
In this paper we present a scalable and distributed access structure for similarity search in metric spaces. The approach is based on the Content– addressable Network (CAN) parad...
While similarity has gained in importance in research about information retrieval on the (geospatial) semantic Web, information retrieval paradigms and their integration into exist...