Copy the page URI to the clipboard
Cabral, Liliana
(2009).
DOI: https://doi.org/10.21954/ou.ro.0001005d
Abstract
Semantic Web Services are Web Services enriched with ontological descriptions of their capabilities. We can use Semantic Web Services to build business applications on the Web or to compose them into business processes. However, ontological models for Semantic Web Services that take into consideration mediation aspects are scarce and underspecified. Consequently, so far there is no mediation framework which takes into account semantic descriptions of mediation aspects for coping with heterogeneous data and processes in the context of Semantic Web Services.
Our hypothesis is that a knowledge-based modelling approach to mediation can provide seamless integration of applications and semantic interoperability of data and processes. In this work we propose a knowledge-based model and approach to the mediation of Semantic Web Services, which extends the Internet Reasoning System (IRS) platform and applies the Web Service Modelling Ontology (WSMO). In addition, we propose the Business Process Modelling Ontology (BPMO) for supporting mediation of workflow-based processes based on Semantic Web Services.
Finally, we present three use cases in which different requirements for mediation are dealt with in order to validate our models and framework in business-to-business (B2B) application scenarios. We claim that our mediation approach is successful in bridging the gap between SWS requesters, who provide business-level descriptions of their tasks, and SWS providers, who supply execution-level descriptions of how they can solve tasks.