Web service-based business process automation using matching algorithms

In this paper, we focus on two problems of the Web service-based business process integration: the discovery of Web services based on the capabilities and properties of published services, and the composition of business processes based on the business requirements of submitted requests. We propose a solution to these problems, which comprises multiple matching algorithms, a micro-level matching algorithm and macro-level matching algorithms. The solution from the macro-level matching algorithms is optimal in terms of meeting a certain business objective, e.g., minimizing the cost or execution time, or maximizing the total utility value of business properties of interest. Furthermore, we show how existing Web service standards, UDDI and BPEL4WS, can be used and extended to specify the capabilities of services and the business requirements of requests, respectively.Applications in Artificial Intelligence - Ontologies and Intelligent WebRed de Universidades con Carreras en Informática (RedUNCI

Web service-based business process automation using matching algorithms

In this paper, we focus on two problems of the Web service-based business process integration: the discovery of Web services based on the capabilities and properties of published services, and the composition of business processes based on the business requirements of submitted requests. We propose a solution to these problems, which comprises multiple matching algorithms, a micro-level matching algorithm and macro-level matching algorithms. The solution from the macro-level matching algorithms is optimal in terms of meeting a certain business objective, e.g., minimizing the cost or execution time, or maximizing the total utility value of business properties of interest. Furthermore, we show how existing Web service standards, UDDI and BPEL4WS, can be used and extended to specify the capabilities of services and the business requirements of requests, respectively.Applications in Artificial Intelligence - Ontologies and Intelligent WebRed de Universidades con Carreras en Informática (RedUNCI

The Semantic Webscape: A View of the Semantic Web

It has been a few years since the semantic Web was initiated by W3C, but its status has not been quantitatively measured. It is crucial to understand the status at this early stage, for researchers, developers and administrators to gain insight into what will come in this field. The objective of our work is to quantitatively measure and present the status of the semantic Web. We conduct a longitudinal study on the semantic Web pages to track trends in the use of semantic markup languages. This paper presents early results of this study with two historical data sets from October 2003 and October 2004. Our results show that while it is very early stage of semantic Web adoption, its growth outpaces that of the entire Web for the period. Also, RDF (Resource Description Framework) has dominated among semantic markup languages, taking about 98% of all semantic pages on the Web. It has been used in a variety of metadata annotation applications. This study shows that the most popular application is RSS (RDF Site Summary) for syndicating news and blogs, which takes more than 60% of all semantic Web pages. It also shows that the use of OWL (Web Ontology Language) which was recommended by W3C in early 2004 has been increased 900% for the period

Ontology management for large-scale enterprise systems

been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). Copies may be requested from IBM T. J. Watson Research Center, P