Extracting focused knowledge from the semantic web

Crow, Louise; Shadbolt, Nigel

doi:10.1006/ijhc.2000.0453

Cited by 33 publications

(11 citation statements)

References 27 publications

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“…3). According to the objectives underlying the IS, it is possible to choose from among the many architectures proposed, especially in [8][9][10][11][12][13].…”

Section: Technology and Application Conditionsmentioning

confidence: 99%

Design of information system architectures using a key-problem framework

Goepp

Kiefer

Geiskopf

2006

Computers in Industry

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“…3). According to the objectives underlying the IS, it is possible to choose from among the many architectures proposed, especially in [8][9][10][11][12][13].…”

Section: Technology and Application Conditionsmentioning

confidence: 99%

Design of information system architectures using a key-problem framework

Goepp

Kiefer

Geiskopf

2006

Computers in Industry

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“…The techniques for ontology integration are very essential in many applications, especially in multiagent systems (Crow and Shadbolt 2001), or in recommender systems (Nguyen and Rusin 2006). In general, a conflict between two ontologies takes place when these ontologies reflect the same real world but in different ways.…”

Section: Introductionmentioning

confidence: 99%

A Method for Ontology Conflict Resolution and Integration on Relation Level

Nguyên

2007

Cybernetics and Systems

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Conflict of ontologies can appear on one of three levels: instance level, concept level and relation level. Conflict on instance level appears when the same instance occurs in different ontologies with different descriptions. Two ontologies are in conflict on concept level if the same concept has different structures in these ontologies. Conflict on relation level refers to different relations between the same two concepts in different ontologies. In this article a method for ontology conflict resolution and integration on relation level is presented. Within this method we present a model for representing ontology conflict and consensus-based algorithms for conflict resolution.

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“…Recently, there has been increased interest in ontologies and in the idea of reusing existing (domain) ontologies (Crow & Shadbolt, 2001). Moreover, there is a high level of consensus in considering that costly human resources as well as intense organizational work are normally required to construct ontologies.…”

Section: Introductionmentioning

confidence: 99%

A cooperative framework for integrating ontologies

Fernández-Breis¹,

MARTIİNEZ-BÉJAR²

2002

International Journal of Human-Computer Studies

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Nowadays, there are systems and frameworks that support Ontology construction processes. However, ontology integration processes have not sufficiently been specified to date. In this article, by making use of a cooperative philosophy, we describe a real framework for the integration of ontologies supplied by a predetermined set of (expert) users, who may be interconnected through a communication network. This framework is based on a set of well-defined assumptions that guarantee the consistency of the ontology derived from the ontology integration process. Moreover, in the approach presented here, every (expert) user may consult the so-derived ontology constructed until a given moment in order to refine his or her private ontology. In addition to this, the model proposed in this work allows the experts involved in the construction of the ontology to use their own terminology when querying the global ontology obtained until a given instant from their own co-operative work. The validation of the framework is also included in this work. #

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Extracting focused knowledge from the semantic web

Cited by 33 publications

References 27 publications

Design of information system architectures using a key-problem framework

Design of information system architectures using a key-problem framework

A Method for Ontology Conflict Resolution and Integration on Relation Level

A cooperative framework for integrating ontologies

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