Engineering an MAS Platform for Semantic Service Integration Based on the SWSA

Gümüş, Özgür; Gürcan, Önder; Kardaş, Geylani; Ekinci, Erdem Eser; Dikenelli, Oğuz

doi:10.1007/978-3-540-76888-3_28

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Likewise, a set of architectural and protocol abstractions that serve as a foundation for agent -web service interactions are introduced in [9]. Based on this architecture, how agents and semantic web services can be integrated are discussed [10] and [11]. Varga et al [12] proposes another approach in which descriptions of the agents providing the semantic web service are generated for the migration of existing web services into the Semantic Web via agents.…”

Section: Related Workmentioning

confidence: 99%

The Semantics of the Interaction between Agents and Web Services on the Semantic Web

Getir

Challenger

Demirkol

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference Workshops

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Development of agent systems is naturally a complex task due to the fundamental characteristics of agents. In addition, agent internals and inter-agent behavior models inside Multi-agent Systems (MAS) may become even more difficult to implement when interactions of agents with web services on the Semantic Web are taken into account. Our approach consists of the utilization of a Domain-specific Modeling Language (DSML) during MAS development in order to cope with the abovementioned challenge. This paper describes how the formal semantics of this DSML can be defined by especially focusing on its viewpoint on agentsemantic service interactions and discusses the use of this semantics definition on MAS validation. Determined semantic rules are both defined and implemented by using Alloy specification language which has a strong description capability based on both relational and first-order logic.

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Section: Related Workmentioning

confidence: 99%

The Semantics of the Interaction between Agents and Web Services on the Semantic Web

Getir

Challenger

Demirkol

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference Workshops

Self Cite

View full text Add to dashboard Cite

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Towards a Broker Agent in the Semantic Services Environment

Gümüş

Gürcan

Dikenelli

Service-Oriented Computing: Agents, Semantics, and Engineering

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The Formal Semantics of a Domain-Specific Modeling Language for Semantic Web Enabled Multi-Agent Systems

Getir

Challenger

Kardaş

2014

Int. J. Coop. Info. Syst.

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Development of agent systems is without question a complex task when autonomous, reactive and proactive characteristics of agents are considered. Furthermore, internal agent behavior model and interaction within the agent organizations become even more complex and hard to implement when new requirements and interactions for new agent environments such as the Semantic Web are taken into account. We believe that the use of both domain specific modeling and a Domain-specific Modeling Language (DSML) may provide the required abstraction and support a more fruitful methodology for the development of Multi-agent Systems (MASs) especially when they are working on the Semantic Web environment. Although syntax definition based on a metamodel is an essential part of a modeling language, an additional and required part would be the determination and implementation of DSML constraints that constitute the (formal) semantics which cannot be defined solely with a metamodel. Hence, in this paper, formal semantics of a MAS DSML called Semantic Web enabled Multi-agent Systems (SEA_ML) is introduced. SEA_ML is a modeling language for agent systems that specifically takes into account the interactions of semantic web agents with semantic web services. What is more, SEA_ML also supports the modeling of semantic agents from their internals to MAS perspective. Based on the defined abstract and concrete syntax definitions, we first give the formal representation of SEA_ML's semantics and then discuss its use on MAS validation. In order to define and implement semantics of SEA_ML, we employ Alloy language which is declarative and has a strong description capability originating from both relational and first-order logic in order to easily define complex structures and behaviors of these systems. Differentiating from similar contributions of other researchers on formal semantics definition for MAS development languages, SEA_ML's semantics, presented in this paper, defines both static and dynamic aspects of the interaction between software agents and semantic web services, in addition to the definition of the semantics already required for agent internals and MAS communication. Implementation with Alloy makes definition of SEA_ML's semantics to include relations and sets with a simple notation for MAS model definitions. We discuss how the automatic analysis and hence checking of SEA_ML models can be realized with the defined semantics. Design of an agent-based electronic barter system is exemplified in order to give some flavor of the use of SEA_ML's formal semantics. Lessons learned during the development of such a MAS DSML semantics are also reported in this paper.

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Engineering an MAS Platform for Semantic Service Integration Based on the SWSA

Cited by 3 publications

References 11 publications

The Semantics of the Interaction between Agents and Web Services on the Semantic Web

The Semantics of the Interaction between Agents and Web Services on the Semantic Web

Towards a Broker Agent in the Semantic Services Environment

The Formal Semantics of a Domain-Specific Modeling Language for Semantic Web Enabled Multi-Agent Systems

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