MDSM: A Model-Driven Approach to Semantic Service Selection for Collaborative Business Processes

Klusch, Matthias; Nesbigall, Stefan; Zinnikus, Ingo

doi:10.1109/wiiat.2008.176

Cited by 6 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This makes service descriptions query-able, like "ordinary" linked data using SPARQL [24,25]. For a comprehensive discussion of existing service description approaches, see also e.g., [26][27][28].…”

Section: Knowledge Representation Languagesmentioning

confidence: 99%

“…While the majority of approaches for semantic service matchmaking are designed for a specific type of service description, (e.g., OWL-S- [29,30] or WSML-based [31]), some can deal with different formats [25]. With regard to the techniques used for determining a matching degree, Klusch [32] distinguishes between logic-based matchmakers, non-logic-based and hybrid matchmakers.…”

mentioning

confidence: 99%

See 1 more Smart Citation

White Paper on Research Data Service Discoverability

et al. 2016

View full text Add to dashboard Cite

This White Paper reports the outcome of a Workshop on "Research Data Service Discoverability" held in the island of Santorini (GR) on 21-22 April 2016 and organized in the context of the EU funded Project "RDA-E3". The Workshop addressed the main technical problems that hamper an efficient and effective discovery of Research Data Services (RDSs) based on appropriate semantic descriptions of their functional and non-functional aspects. In the context of this White Paper, by RDSs are meant those data services that manipulate/transform research datasets for the purpose of gaining insight into complicated issues. In this White Paper, the main concepts involved in the discovery process of RDSs are defined; the RDS discovery process is illustrated; the main technologies that enable the discovery of RDSs are described; and a number of recommendations are formulated for indicating future research directions and making an automatic RDS discovery feasible.

show abstract

Section: Knowledge Representation Languagesmentioning

confidence: 99%

mentioning

confidence: 99%

White Paper on Research Data Service Discoverability

et al. 2016

View full text Add to dashboard Cite

show abstract

“…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.…”

Section: Servicesmentioning

confidence: 99%

“…The MDSM [34] matchmaker employs a meta-model for semantic services named PIM4SWS (process independent model for semantic web services) and applies semantics-preserving transformations of the information model of semantic services in OWL-S, WSML and SAWSDL to resolve queries across different formats and formal semantics. 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.…”

Section: Servicesmentioning

confidence: 99%

Semantic Web Service Search: A Brief Survey

et al. 2015

Self Cite

View full text Add to dashboard Cite

Scalable means for the search of relevant web services are essential for the development of intelligent service-based applications in the future Internet. Key idea of semantic web services is to enable such applications to perform a high-precision search and automated composition of services based on formal ontology-based representations of service semantics. In this paper, we briefly survey the state of the art of semantic web service search. Abstract Scalable means for the search of relevant web services are essential for the development of intelligent service-based applications in the future Internet. Key idea of semantic web services is to enable such applications to perform a high-precision search and automated composition of services based on formal ontology-based representations of service semantics. In this paper, we briefly survey the state of the art of semantic web service search.

show abstract

“…Their meta-model and discovery approach is influenced by light weight approaches (SAREST [37] and SAWSDL). In [17], Klush et al proposed another meta-model called PIM4SWS which is similar to OWL-S model and focuses mainly on semantic information carried by web service description. Differently, we focus on both lightweight and semantic techniques, allowing other description models.…”

Section: Related Workmentioning

confidence: 99%

Bridging the gap between service description models in service matchmaking

Fernández

Cong

Baltá

2012

MGS

View full text Add to dashboard Cite

In service-oriented architectures (SOA) the process of service discovery involves the matchmaking between service advertisements and service requests. Most approaches assume that both service advertisements and service requests are expressed using the same description language as well as domain ontologies. However, in large-scale open environments that assumption does not hold. In this paper we present a method that addresses the semantic mismatches at service description level. In particular, we focus on the alignment of service description models and service matchmaking on the unified request and advertisements. We propose a matchmaking method that encompasses different semantic, syntactic and hybrid service description languages.

show abstract

MDSM: A Model-Driven Approach to Semantic Service Selection for Collaborative Business Processes

Abstract: Business process modelling and execution in a collab

Cited by 6 publications

References 10 publications

White Paper on Research Data Service Discoverability

White Paper on Research Data Service Discoverability

Semantic Web Service Search: A Brief Survey

Bridging the gap between service description models in service matchmaking

Contact Info

Product

Resources

About