Semantics-Based Automated Service Discovery

Abstract

Abstract-A vast majority of web services exist without explicit associated semantic descriptions. As a result many services that are relevant to a specific user service request may not be considered during service discovery. In this paper, we address the issue of web service discovery given nonexplicit service description semantics that match a specific service request. Our approach to semanticbased web service discovery involves semantic-based service categorization and semantic enhancement of the service request. We propose a solution for achieving functional level service categorization based on an ontology framework. Additionally, we utilize clustering for accurately classifying the web services based on service functionality. The semantic-based categorization is performed offline at the universal description discovery and integration (UDDI). The semantic enhancement of the service request achieves a better matching with relevant services. The service request enhancement involves expansion of additional terms (retrieved from ontology) that are deemed relevant for the requested functionality. An efficient matching of the enhanced service request with the retrieved service descriptions is achieved utilizing Latent Semantic Indexing (LSI). Our experimental results validate the effectiveness and feasibility of the proposed approach.Index Terms-Web services publishing, web services discovery, services discovery process and methodology.

A QoS-Aware Decentralized Service Composition Method in Mobile Networks

“…This approach also needs a central registry. A semantic based service discovery is proposed by Paliwal et al [11]. Unfortunately, this method also relies on a centralized registry.…”

Ontologies: A Review of Web Service Discovery Techniques

“…Paliwal et al, [13] presented an integrated approach for automated service discovery. Their approach is based on semantic-based service categorization and semantic based service selection.…”

Service Knowledge Discovery in Smart Machine Networks

“…Researchers try to develop new algorithms for better matching of the services for the requirements of the users. In [11], an ontology framework which categorizes the services according to their functions is proposed. S-MatchMaker [7] improves service discovery by involving quality of the services in the selection process.…”