Semantic Biological Web Services Registry

TitleSemantic Biological Web Services Registry
Publication TypeBook Chapter
Year of Publication2007
AuthorsAmit Sheth, Satya S. Sahoo, B. Hunter, William York
Abstract

There are now more than a thousand Web Services [22] offering access to disparate biological resources namely data and computational tools. It is extremely difficult for biological researchers to search in a Web Services (WS) registry for a relevant WS using the standard (primarily computational) descriptions used to describe it. Semantic Biological Web Services Registry (SemBOWSER) is an ontology-based implementation of the UDDI specification, which enables, at present, glycoproteomics researchers to publish, search and discover WS using semantic, service-level, descriptive domain keywords . SemBOWSER classifies a WS along two dimensions- th task they implement and the domain they are associated with. Each published WS is associated with the relevant ProPreO (comprehensive process ontology for glycoproteomics experimental lifecycle) ontology-based kej^words (implemented as part of the registry). A researcher, in turn, can search for relevant WS using only the descriptive kej^words, part of their everyday working lexicon. This intuitive search is underpinned by the ProPreO ontology, thereby making use of the inherent advantages of a semantic search, as compared to a purely syntactic search, namely disambiguation and use of named relationships between concepts. SemBOWSER is part of the glycoproteomics web portal 'Stargate'.

Full Text

Satya Sahoo, Amit P Sheth, B. Hunter, and W. York, 'Semantic Biological Web Services Registry,'in Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences, Christopher Baker and Kei-Hoi Cheung (Eds.), Springer, 2007.
publisher: Springer
year: 2007
hasEditor: Christopher Baker
related resource url: http://www.springerlink.com/content/l02h89273305g846/
hasURL: http://knoesis.wright.edu/library/download/SemBOWSER2007-Semantic_Web-Re...
hasBookTitle: Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences