Adaptive Service Binding with Lightweight Semantic Web Services

Abstract

Adaptive service selection is acknowledged to provide a certain number of advantages to optimize the service provisioning process or to cater for advanced service brokering. Semantic Web Services, that is services that have been enriched with semantic annotations have often been used for providing adaptive service selection by deferring the binding of services until runtime. Thus far, however, research on Semantic Web Services has mainly been dominated by rich conceptual frameworks such as WSMO and OWL-S which require a significant effort towards the annotation of services and rely on complex reasoning for which there are no efficient solutions that can scale to the Web yet. In this chapter, inline with current trends on the Semantic Web that sacrifice expressivity in favour of performance, we present a novel approach to providing adaptive service selection that relies on simple conceptual models for services and less expressive formalisms for which there currently exist mature and performant implementations. In particular, we present a set of concep-

Semantic Web Service Search: A Brief Survey

“…MDSM (2008) [34] PIM4SWS (meta-model) ( ) iServe (2010) [51] MSM (meta-model) classifier with an evidential coherence-based weighting scheme. The logic-based semantic service matchmaker SPARQLent [55] considers the full functional profile of OWL-S services.…”

“…Similarly, iServe [51] employs the MSM (Minimal Service Model) [62] on a meta level, which aims to unify both SOAP-based and RESTful web service descriptions by providing RDFS vocabulary for the largest common denominator between these formalisms. That way, it is able to match OWL-S, WSML, SAWSDL, WSMO-Lite as well as MicroWSMO and SA-REST services.…”

“…Public collections of semantic services are, for example, the prominent OWLS-TC 4 for OWL-S services, the SAWSDL-TC 5 for SAWSDL services, and hRESTS-TC 6 for annotated REST services. The service discovery platform iServe [51] can be used to build and maintain directories of semantic services in SAWSDL, OWL-S, MicroWSMO, and WSMO-Lite. The service semantics are internally represented in a minimal service model and then exposed in HTML and RDF as linked services with a unique and resolvable HTTP URI.…”

Improving semantic web services discovery using SPARQL-based repository filtering

“…In this case, generated queries have to be also based on graph patterns ranging over that SWS framework RDF representation. Nevertheless, to better account for interoperability some proposals that integrate SWS framework definitions [32,33,34] can also apply our proposed filters (see Section 6).…”

“…However, they do not provide facilities to automatically optimize discovery mechanisms. Pedrinaci et al present a service repository called iServe that exposes service descriptions as linked data in terms of a Minimal Service Model (MSM) [32]. This model serves the purpose of an ontology of integration that simplifies SWS frameworks, integrating not only OWL-S, WSMO, SAWSDL and WSMO-Lite services, but also MicroWSMO [47] or SA-REST [48] descriptions of Web APIs.…”