Title :
Text mining workflows construction with support of ontologies
Author :
M. Sarnovsky;M. Paralic
Author_Institution :
Department of Cybernetics and Artificial Intelligence, Technical University of Ko?ice, Letn? 9, 042 00, Slovakia
Abstract :
In order to fulfill the ambitious goals of semantic Web services frameworks, there is important to support not only the Functional Semantics, but also the data semantics that is especially important by the invocation activity. This is together with bringing QoS Semantics to the Web Services also our goal in the context of the research project "semantic composition of web and grid services (APW- 0391-06)". In the paper we present a semantic model intended to describe grid data and text mining services, whereby the semantic information about the functional, data and QoS models is utilized to construct the resulting executable workflow.
Keywords :
"Text mining","Ontologies","Quality of service","Web services","Context-aware services","Informatics","Semantic Web","Bioinformatics","Cybernetics","Artificial intelligence"
Conference_Titel :
Applied Machine Intelligence and Informatics, 2008. SAMI 2008. 6th International Symposium on
Print_ISBN :
978-1-4244-2105-3
DOI :
10.1109/SAMI.2008.4469159