Showing papers by "Massimo Paolucci published in 2005"
06 Nov 2005
TL;DR: This work proposes a modeling procedure that preserves the control flow and the data flow of OWL-S Process Models and provides complete modeling and verification of OWl-S process Models.
Abstract: In this paper, we apply automatic tools to the verification of interaction protocols of Web services described in OWL-S. Specifically, we propose a modeling procedure that preserves the control flow and the data flow of OWL-S Process Models. The result of our work provides complete modeling and verification of OWL-S Process Models.
61 citations
TL;DR: Experiments show that Matchmaker search consumes about 5 seconds more time than a typical keyword-based search, and client tools that lower the threshold for using semantics in service discovery are illustrated.
Abstract: UDDI is a standard registry for Web services, but so far its search functionality has been limited to keyword search. These authors propose a UDDI enhancement called Matchmaker, which supports semantic service capability discovery. Since September 2003, they have deployed Matchmaker in one of four official UDDI registries operated by NTT-Communications. In this article, they introduce Matchmaker and illustrate client tools that lower the threshold for using semantics in service discovery. Experiments show that Matchmaker search consumes about 5 seconds more time than a typical keyword-based search. The authors also collected user information through questionnaires and by observation of search behavior.
21 citations
Proceedings Article•
01 Jan 2005
TL;DR: The first experiences and lessons learned from early work on OWL are presented and constructive feedback is given for possible enhancements of OWL and its tools are given.
Abstract: The success of the Semantic Web will largely depend on whether W3C’s Web Ontology Language can reach broad acceptance and a critical mass of industry-strength applications. We have been exploiting the use of OWL with a particular focus on tool support for ontology authoring and on providing access to the Semantic Web for mobile applications. In the latter case our vision is to overlay the Semantic Web on ubiquitous computing environments making it possible to represent and interlink content and services as well as users, devices, their capabilities and the functionality they offer. In this paper we present our first experiences and lessons learned from early work and try to give constructive feedback for possible enhancements of OWL and its tools.
6 citations
11 Jul 2005
TL;DR: A detailed discussion of both the architectural and implementation considerations are provided, and an empirical evaluation shows that indeed the prototype implementation scales with both the number of Web services and thenumber of organizations involved.
Abstract: In this paper we propose an extension of the service oriented architecture that supports discovery of Web services across organization boundaries. We provide a detailed discussion of both the architectural and implementation considerations, and we provide an empirical evaluation that shows that indeed our prototype implementation scales with both the number of Web services and the number of organizations involved.
5 citations
TL;DR: This paper introduces the Matchmaker, and illustrates client tools which lower the threshold of use of semantics in UDDI, and evaluates this experiment by benchmarks in terms of its performance and functionality.
Abstract: Experiment with public deployment of the semantic service matchmaker to a UDDI registry for a year is described in this paper. UDDI is a standard registry for Web Services, but, its search functionality has been limited to a keyword search. Therefore, we propose an enhancement of UDDI, called Matchmaker, that supports semantic service capability discovery. Since September 2003, we have deployed the Matchmaker in one of four official UDDI registries operated by NTT-Communications. In this paper, we first introduce the Matchmaker, and illustrate client tools which lower the threshold of use of semantics. Then, we evaluate this experiment by benchmarks in terms of its performance and functionality. Finally, we discuss user requirements obtained by two ways: questionnaire and observation of search behavior.