Customizing a lexicon to better suit a computational task
Corpus processing for lexical acquisition
Text processing through Web services
Bioinformatics
The myGrid ontology: bioinformatics service discovery
International Journal of Bioinformatics Research and Applications
Automatically labeling the inputs and outputs of web services
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Learning semantic descriptions of web information sources
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Automatic annotation of web services based on workflow definitions
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Feta: a light-weight architecture for user oriented semantic service discovery
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Automatically Constructing Semantic Web Services from Online Sources
ISWC '09 Proceedings of the 8th International Semantic Web Conference
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
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A number of projects (myGrid, BioMOBY, etc.) have recently been initiated in order to organise emerging bioinformatics Web Services and provide their semantic descriptions. They typically rely on manual curation efforts. In this paper we focus on a semi-automated approach to mine semantic descriptions from the bioinformatics literature. The method combines terminological processing and dependency parsing of journal articles, and applies information extraction techniques to profile Web services using informative textual passages, related ontological annotations and service descriptors. Service descriptors are terminological phrases reflecting related concepts (e.g. tasks, approaches, data) and/or specific roles (e.g. input/output parameters, etc.) of the associated resource classes (e.g. algorithms, databases, etc.). They can be used to facilitate subsequent manual description of services, but also for providing a semantic synopsis of a service that can be used to locate related services. We present a case-study involving full text articles from the BMC Bioinformatics journal. We illustrate the potential of natural language processing not only for mining descriptions of known services, but also for discovering new services that have been described in the literature.