Semantic Map of Services for Structural Bioinformatics

Authors:
Pierre Tuffery;Zoe Lacroix;Herve Menager
Affiliations:
Université Denis Diderot (Paris 7), France;Arizona State University;Arizona State University
Venue:
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Year:
2006

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Abstract

We present a Semantic Map of resources for Structural Bioinformatics applied to proteins, i.e., various methods to predict and analyze protein structures in silico. Our map depicts resources on two levels: a logical level that provides a high-level description of the scientific concepts using a domain ontology; a physical level, that describes the actual resources implementing these connections. Scientists can use our system to express a query that captures their scientific aim, and are guided to identify the resources best meeting their needs. It is intended to provide scientists a tool to register and share knowledge about the available services in this field. Our approach addresses the problem of semantic interoperability of scientific resources publicly available on the web.