Heterogeneous Domain Ontology for Location Based Information System in a Multi-agent Framework

Fuentes, Virginia; Carbó, Javier; Molina, José Manuel

doi:10.1007/11875581_142

Cited by 11 publications

(10 citation statements)

References 3 publications

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“…Authors in (Vasilecas and Bugaite 2006) use ontologies for ontology based IS development and they address the problem of automation of information processing rules. There are also other approaches (Fuentes et al 2006;Orgun and Vu 2006;Clark and McCabe 2007) that use ontologies as knowledge representation mechanisms. Authors in (Clark and McCabe 2007) use a formal ontology as a constraining framework for the belief store of a rational agent.…”

Section: Some Background On Decision Support Multi-agent Systems Andmentioning

confidence: 99%

“…The static beliefs of the agent are the axioms of the ontology, while dynamic beliefs are the descriptions of the individuals that are instances of the ontology classes. Another work presented in (Fuentes et al 2006) also uses heterogeneous domain ontology for location based IS in a MAS framework with the emphasis on context-aware MAS. They propose a global ontology to let agents work with heterogeneous domains using a wireless network and the intention is to provide customization about different environment services based on user location and profile.…”

Section: Some Background On Decision Support Multi-agent Systems Andmentioning

confidence: 99%

“…Different applications within information systems (IS) that support wide range of functionalities need to be integrated in order to provide the appropriate level of information support. One of the prominent approaches for IS integration is the use of ontologies and Multi-Agent Systems (Fuentes et al 2006;Soo et al 2006;Dzemydienė and Tankelevičienė 2009).…”

Section: Introductionmentioning

confidence: 99%

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Ontology‐based Multi‐agent System to Support Business Users and Management / Daugiaagentine Sistema Grindžiama Ontologija Verslo Vartotojams Ir Vadybininkams Paremti

Lavbič

Vasilecas

Rupnik

2010

Technological and Economic Development of Economy

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Abstract. For some decision processes a significant added value is achieved when enterprises' internal Data Warehouse (DW) can be integrated and combined with external data gained from web sites of competitors and other relevant Web sources. In this paper we discuss the agent-based integration approach using ontologies (DSS-MAS). In this approach data from internal DW and external sources are scanned by coordinated group of agents, while semantically integrated and relevant data is reported to business users according to business rules. After data from internal DW, Web sources and business rules are acquired, agents using these data and rules can infer new knowledge and therefore facilitate decision making process. Knowledge represented in enterprises' ontologies is acquired from business users without extensive technical knowledge using user friendly user interface based on constraints and predefined templates. The approach presented in the paper was verified using the case study from the domain of mobile communications with the emphasis on supply and demand of mobile phones.

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Section: Some Background On Decision Support Multi-agent Systems Andmentioning

confidence: 99%

Section: Some Background On Decision Support Multi-agent Systems Andmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ontology‐based Multi‐agent System to Support Business Users and Management / Daugiaagentine Sistema Grindžiama Ontologija Verslo Vartotojams Ir Vadybininkams Paremti

Lavbič

Vasilecas

Rupnik

2010

Technological and Economic Development of Economy

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“…Following defined steps, there is a proposal of a meta-ontology [25] that focuses mainly on the definition of all the concepts in order to be valid for any environment or domain. These ontological high level concepts (Figure 2) are considered to be meta-concept or meta-object for composing the environmental model in contextaware systems, and can be described as follows:…”

Section: Developing An Ontology For Environment Definitionmentioning

confidence: 99%

Ubiquitous Computing for Mobile Environments

Molina

Corchado

Bajo

2007

Issues in Multi-Agent Systems

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Abstract. The increasing role and importance of ubiquitous computing and mobile environments in our daily lives implies the need for new solutions. The characteristics of agents and multi-agent systems make them very appropriate for constructing ubiquitous and mobile systems. The aim of this chapter is to present some of the advances in practical and theoretical applications of multiagent systems in the fields of ubiquitous computing and mobile environments carried out by several AgentCities.ES research groups.

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“…We describe all the steps followed in the design of the agent system, including an ontology reusing properties and concepts of similar projects such as Fuentes, Carbó, and Molina (2006).…”

Section: Introductionmentioning

confidence: 99%

Methodological design and comparative evaluation of a MAS providing AmI

Venturini

Carbó

Molina

2012

Expert Systems with Applications

Self Cite

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Abstract:Researches on Ambient Intelligent and Ubiquitous Computing using wireless technologies have increased in the last years. In this work, we review several scenarios to define a multi-agent architecture that sup-port the information needs of these new technologies, for heterogeneous domain. Our contribution con-sists of designing in a methodological way a Context Aware System (involving location services) using agents that can be used in very different domains. We describe all the steps followed in the design of the agent system. We apply a hybridizing methodology between GAIA and AUML. Additionally we pro-pose a way to compare different agent architectures for Context Aware System using agent interactions. So, in this paper, we describe the assignment of weight values to agents interaction in two different MAS architectures for Context Aware problems solving different scenarios inspired in FIPA standard negotia-tion protocols.

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Heterogeneous Domain Ontology for Location Based Information System in a Multi-agent Framework

Cited by 11 publications

References 3 publications

Ontology‐based Multi‐agent System to Support Business Users and Management / Daugiaagentine Sistema Grindžiama Ontologija Verslo Vartotojams Ir Vadybininkams Paremti

Ontology‐based Multi‐agent System to Support Business Users and Management / Daugiaagentine Sistema Grindžiama Ontologija Verslo Vartotojams Ir Vadybininkams Paremti

Ubiquitous Computing for Mobile Environments

Methodological design and comparative evaluation of a MAS providing AmI

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