OWL based information agent services for process monitoring

Pakonen, Antti; Tommila, Teemu; Pirttioja, Teppo; Seilonen, Ilkka

doi:10.1109/efta.2007.4416747

Cited by 11 publications

(3 citation statements)

References 9 publications

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“…The expression includes both concepts and their interrelationships. It is necessary to use ontology for coordination and communication among the SC intelligent agents; because the agents are related in knowledge level and they need a common understanding to interpret the interchanged information (Pakonen et al 2007). Ye et al (2008) have explained the necessity of semantic integration in the SC, consequently recommended the ontology, and developed Onto-SCM ontology for the SC.…”

Section: Ontologymentioning

confidence: 99%

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

Teimoury

Chambar

Gholamian

et al. 2014

International Journal of Computer Integrated Manufacturing

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Previous studies have not provided any information system (IS) solution for the supply chain (SC) performance measurement based on the Global Supply Chain Forum (GSCF) reference model due to the complexities of interoperability among the ISs in the SC. As an innovation, this paper has proposed an architecture that allows the SC Performance Measurement System (SCPMS) components to have multi-level interoperability by integrating the multi-agent technology as well as ontology technology. It has also proposed a method to develop the required ontologies for the PMS agents and developed the ontologies in the Web Ontology Language (OWL) to provide the semantic level interoperability. The syntax-level interoperability has been provided by a number of agent interaction protocols (AIPs). As another innovation, the authors have developed the SCPMS algorithms for the link analysis method by the Breadth-First Search (BFS) method and proved those algorithms. The authors have created the PMS agents based on those algorithms and prototyped a Multi-Agent System (MAS) for the SC of a tile manufacturer as a case study. The proposed multi-level architecture supports the GSCF model in the SC performance measurement, and improves the interoperability and the integration of the SCPMS.

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Section: Ontologymentioning

confidence: 99%

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

Teimoury

Chambar

Gholamian

et al. 2014

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

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“…), has emerged. These technologies are yet used by intelligent agents to retrieve and manage information on the Web (Haarslev & Möller, 2003;Abasolo & Gomez, 2000) and in business processes (Pakonen, Tommila, Pirttioja, & Seilonen, 2007). They also appear in the domain of disastermanagementthroughEuropeanprojects(TilburgGeoPii, Integrasys,2014;Beneito-Montagut, Shaw,&Brewster,2013)tofacilitatethematchingbetweenneedsofthesituationandcapacityof agencieswhichcanintervene.Manycommonvocabularieshavebeendevelopedtoprovideacommon understandingandfacilitatethecooperation.Themanagementofacrisis(MOAC)vocabularyallows thedescriptionofhumanitarianactivitiesrelatedtoacrisissituation (Moac,2012).Theseactivities canbespecifiedbythethreequestions:Who?What?Where?Emergelontology (Emergel,n.d.…”

Section: Ontologiesmentioning

confidence: 99%

A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System

Prudhomme

Cruz

Roxin

et al. 2017

International Journal of Information Systems for Crisis Response and Management

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The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framework allowing for different organizations involving in the disaster response to assess their collaboration through its simulation using an explicit representation of their knowledge. This framework is based on a multi-agent system composed of three generic agent models to represent the organizational structure of disaster response. The decision-making about response actions is done through task decomposition and repartition. It is based reasoning on ontologies which provides an explicit trace of the response plans design and their execution. Such framework aims at identifying cooperation problems and testing strategies of information exchange to support the preparation of disaster response.

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“…Another approach [4] is to use Wrapper Agents who translate data sources into ontologically defined representations and then let an agent network combine and regroup the information, thus granting access to information by human users. This way, a human process operator is the baseline for the ontology employed.…”

Section: Existing Approachesmentioning

confidence: 99%

Integrating information over the life-cycle of manufacturing equipment by assigning semantics

Gößling

Wollschlaeger

2008

2008 IEEE International Workshop on Factory Communication Systems

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With semantic web technologies being in the focus of manufacturing systems designers in recent years, different possibilities to facilitate plant processes have been analyzed. This paper takes a look on existing approaches and compares these with the demands that are given when dealing with automated information integration between different layers of the factory architecture and different phases of the equipment Lifecycle.In order to integrate information, the approach of semantically connecting different communication standards is considered. As a conceptual tool to fulfill the demands given, the use of ontologies, especially the Web Ontology Language OWL, is proposed. Finally, an idea for meeting the difficulties with heterogeneous shop floor ontologies is motivated.

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OWL based information agent services for process monitoring

Cited by 11 publications

References 9 publications

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

Designing an ontology-based multi-agent system for supply chain performance measurement using graph traversal

A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System

Integrating information over the life-cycle of manufacturing equipment by assigning semantics

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