METEOR-S WSDI: A Scalable P2P Infrastructure of Registries for Semantic Publication and Discovery of Web Services

By Kunal Verma, Kaarthik Sivashanmugam, Amit P. Sheth, Abhijit A. Patil, Swapna A. Oundhakar, John A. Miller. Inf. Technol. Manag., 2005

565 citations recorded by the source corpus.

Abstract Web services are the new paradigm for distributed computing. They have much to offer towards interoperability of applications and integration of large scale distributed systems. To make Web services accessible to users, service providers use Web service registries to publish them. Current infrastructure of registries requires replication of all Web service publications in all Universal Business Registries. Large growth in number of Web services as well as the growth in the number of registries would make this replication impractical. In addition, the current Web service discovery mechanism is inefficient, as it does not support discovery based on the capabilities of the services, leading to a lot of irrelevant matches. Semantic discovery or matching of services is a promising approach to address this challenge. In this paper, we present a scalable, high performance environment for Web service publication and discovery among multiple registries. This work uses an ontology-based approach to organize registries into domains, enabling domain based classification of all Web services. Each of these registries supports semantic publication and discovery of Web services. We believe that the semantic approach suggested in this paper will significantly improve Web service publication and discovery involving a large number of registries. This paper describes the implementation and architecture of the METEOR-S Web Service Discovery Infrastructure, which leverages peer-to-peer computing as a scalable solution.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/4f3f4e3c559fc7ce4557f88f33a06d3aebe560a5

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Citations in the corpus

Automated semantic web service discovery with OWLS-MX (2006, methodology): “Alternate approaches propose service process-model matching [3], recursive tree matching [2], P2P discovery [1], automated selection of WSMO services [20] and METEOR-S for WSDL-S services [19].”
Constraint driven Web service composition in METEOR-S (2004, methodology): “Service providers can annotate their services to create service advertisements and publish them using MWSDI [31].”
Meteor-s web service annotation framework (2004, background): “MWSDI provides an infrastructure to leverage data, functional and QoS semantics by enhancing UDDI [ 9 ].”
Web Services (2004, methodology): “The METEOR [19] system implements a federated architecture, using a master gateway peer to organize and propagate information amongst different sub-peers.”
QoS-aware middleware for Web services composition (2004, background): “For a discussion on the issues raised by federated UDDI registries, the reader is referred to [32].”