A semantic approach for the requirement-driven discovery of web services in the Life Sciences
Abstract
Research in the Life Sciences depends on the integration of large, distributed and heterogeneous data sources and web services. The discovery of which of these resources are the most appropriate to solve a given task is a complex research question, since there is a large amount of plausible candidates and there is little, mostly unstructured, metadata to be able to decide among them.We contribute a semi-automatic approach,based on semantic techniques, to assist researchers in the discovery of the most appropriate web services to full a set of given requirements.
Keywords
Cite
@article{arxiv.1012.1667,
title = {A semantic approach for the requirement-driven discovery of web services in the Life Sciences},
author = {Maria Perez and Rafael Berlanga and Ismael Sanz},
journal= {arXiv preprint arXiv:1012.1667},
year = {2010}
}
Comments
in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano: Proceedings of the 3rd International Workshop on Semantic Web Applications and Tools for the Life Sciences, Berlin,Germany, December 8-10, 2010