Integration of Multiagent Systems and Semantic Web Services on a Platform Independent Level

Hahn, Christian; Nesbigall, Stefan; Warwas, Stefan; Zinnikus, Ingo; Fischer, Klaus; Klusch, Matthias

doi:10.1109/wiiat.2008.321

Cited by 10 publications

(17 citation statements)

References 9 publications

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“…For instance, SWS integration into the system models conforming to DSML4MAS is provided via introducing the SOAEnvironment entity [27] which extends the Environment entity and contains service descriptions. Agents use service descriptions to specify the Services they are searching for and then service interaction is realized by InvokeWS and ReceiveWS tasks which are inherited from Send and Receive task entities described in PIM4Agents.…”

Section: B Dsml4masmentioning

confidence: 99%

“…Extensions to the language introduced in [27] provide the description of the services inside an agent environment according to specifications such as Web Services Modeling Language (WSML) 6 or Semantic Annotation of WSDL and XML Schema (SAWSDL) 7 . Interested readers may refer to [5], [13] and [27] for an extensive discussion on DSML4MAS.…”

Section: B Dsml4masmentioning

confidence: 99%

“…Process entity has internal information about the service and finally Grounding entity defines the invocation protocol of the web service [19]. DSML4MAS services are described with Blackbox and Glassbox entities [27]. BlackBox is used to define a service's functional and non-functional parameters while Glassbox includes the description of the internal service process.…”

Section: Horizontal Model Transformations Between Sea_ml and Dsml4masmentioning

confidence: 99%

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Interoperability of MAS DSMLs via horizontal model transformations

Bircan¹,

Challenger²,

Kardaş³

2016

Annals of Computer Science and Information Systems

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Abstract-In this paper, we present our approach which aims at improving the mechanism of constructing language semantics over the interoperability of domain-specific modeling languages (DSMLs) developed for Multi-agent Systems (MAS) and hence providing a more efficient way of extension for the executability of modeled agent systems on various underlying agent platforms. Differentiating from the existing MAS DSML studies, our proposal is based on determining entity mappings and building horizontal model transformations between the metamodels of MAS DSMLs which are in the same abstraction level. The applicability of the approach is demonstrated in the paper by constructing horizontal transformations between two full-fledged agent DSMLs, called SEA_ML and DSML4MAS. Use of these transformations has enabled SEA_ML instance models now to be executable on new agent platforms and that feature has been provided with less effort comparing with the implementation of needed transformations between SEA_ML and those new agent platforms from scratch.

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Section: B Dsml4masmentioning

confidence: 99%

Section: B Dsml4masmentioning

confidence: 99%

Section: Horizontal Model Transformations Between Sea_ml and Dsml4masmentioning

confidence: 99%

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Interoperability of MAS DSMLs via horizontal model transformations

Bircan¹,

Challenger²,

Kardaş³

2016

Annals of Computer Science and Information Systems

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show abstract

“…For both Multi-Agent Systems (MAS) as well as Semantic Web Services (SWS), model transformations to the platform specific levels were provided by applying principles of model-driven development [4]. This integration is based on a platform independent meta-model for agents and a platform independent meta-model for semantic web services.…”

Section: Integrating Multi-agent Systems (Mas) and Semantic Web Servimentioning

confidence: 99%

“…The model-driven semantic service matchmaker (MDSM) performs an automatic service retrieval applying existing matchmakers (i.e. OWL-MX and WSMO-MX) for different formats and returns the most similar matches to the user [4].…”

Section: Integrating Multi-agent Systems (Mas) and Semantic Web Servimentioning

confidence: 99%