Semantic Map for Structural Bioinformatics: Enhanced Service Discovery Based on High Level Concept Ontology

* Final gross prices may vary according to local VAT.

Get Access

Abstract

The amount of bioinformatics services available over the web has dramatically increased over the last years. Generalist on-line catalogs help identifying a particular service in such a pool. Unfortunately, most of the time, querying those catalogs is only based on a textual search for a particular datatype or a domain of interest. In this context, we have developed the Structural Bioinformatics Semantic Map (SBMap), a dual level ontology that allows users to discover structural bioinformatics resources through the exploration of a graph of high level concepts. In this paper, we present how participative design workshops helped us to improve the navigation experiment. The SBMap discovery tool (release-candidate) is available at: http://sbmap.rpbs.univ-paris-diderot.fr