Adaptive ontology re-use: Finding and re-using sub-ontologies

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Stecher, R.; Niederée, C.; Nejdl, W.; Bouquet, P.: Adaptive ontology re-use: Finding and re-using sub-ontologies. In: International Journal of Web Information Systems 4 (2008), Nr. 2, S. 198-214. DOI:

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Sum total of downloads: 213

Purpose - The discovery of the "right" ontology or ontology part is a central ingredient for effective ontology re-use. The purpose of this paper is to present an approach for supporting a form of adaptive re-use of sub-ontologies, where the ontologies are deeply integrated beyond pure referencing. Design/methodology/approach - Starting from an ontology draft which reflects the intended modeling perspective, the ontology engineer can be supported by suggesting similar already existing sub-ontologies and ways for integrating them with the existing draft ontology. This paper's approach combines syntactic, linguistic, structural and logical methods into an innovative modeling-perspective aware solution for detecting matchings between concepts from different ontologies. This paper focuses on the discovery and matching phase of this re-use process. Findings - Owing to the combination of techniques presented in this general approach, the work described performs in the general case as well as approaches tailored for a specific usage scenario. Research limitations/implications - The methods used rely on lexical information obtained from the labels of the concepts and properties in the ontologies, which makes this approach appropriate in cases where this information is available. Also, this approach can handle some missing label information. Practical implications - Ontology engineering tasks can take advantage from the proposed adaptive re-use approach in order to re-use existing ontologies or parts of them without introducing inconsistencies in the resulting ontology. Originality/value - The adaptive re-use of ontologies by finding and partially re-using parts of existing ontological resources for building new ontologies is a new idea in the field, and the inclusion of the modeling perspective in the computation of the matches adds a new perspective that could also be exploited by other matching approaches. © Emerald Group Publishing Limited.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2008
Appears in Collections:Forschungszentren

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 70 32.86%
2 image of flag of United States United States 68 31.92%
3 image of flag of China China 25 11.74%
4 image of flag of Sweden Sweden 14 6.57%
5 image of flag of Greece Greece 10 4.69%
6 image of flag of Russian Federation Russian Federation 3 1.41%
7 image of flag of France France 3 1.41%
8 image of flag of Ireland Ireland 2 0.94%
9 image of flag of Algeria Algeria 2 0.94%
10 image of flag of Israel Israel 1 0.47%
    other countries 15 7.04%

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