Towards intelligent Web services for automating medical service composition
Document Type
Conference Proceeding
Publication Date
9-29-2004
Abstract
The vision of the Semantic Web is to reduce manual discovery and usage of Web resources (documents and services) and to allow software agents to automatically identify these Web resources, integrate them and execute them for achieving the intended goals of the user. Such a composed Web service may be represented as a workflow, called service flow. Current studies of Web services are not sufficient for automatic composition. This paper presents different types of compositional knowledge required for Web service discovery and composition: syntactic, semantic and pragmatic knowledge. As a proof of concept, we have implemented our framework in a cardiovascular domain which requires advanced service discovery and composition across heterogeneous platforms of multiple organizations. Within this framework, we describe (1) How to represent the compositional knowledge, which plays a role in service discovery and composition, in DAML-S; (2) How heterogeneous medical services intemperate in a composed medical service flow. (3) To solve this knowledge level integration, we build on an ontology integration method called SEMIO (Semantic Interoperability).
Identifier
4744350435 (Scopus)
ISBN
[0769521673, 9780769521671]
Publication Title
Proceedings IEEE International Conference on Web Services
First Page
384
Last Page
391
Recommended Citation
Lee, Yugyung; Patel, Chintan; Chun, Soon Ae; and Geller, James, "Towards intelligent Web services for automating medical service composition" (2004). Faculty Publications. 20210.
https://digitalcommons.njit.edu/fac_pubs/20210
