Abdelreheim, Marwa und Soliman, Taysir Hassan A. und Klan, Friederike (2023) A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse. Future Internet, 15 (10), Seite 331. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/fi15100331. ISSN 1999-5903.
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Offizielle URL: https://doi.org/10.3390/fi15100331
Kurzfassung
The profusion of existing ontologies in different domains has made reusing ontologies a best practice when developing new ontologies. The ontology reuse process reduces the expensive cost of developing a new ontology, in terms of time and effort, and supports semantic interoperability. Existing ontology development tools do not assist in the recommendation of ontologies or their concepts to be reused. Also, existing ontology recommendation tools could suggest whole ontologies covering a set of input keywords without referring to which parts of them (e.g., concepts) can be reused. In this paper, we propose an effective ontology recommendation system that helps the user in the iterative development and reuse of ontologies. The system allows the user to provide explicit preferences about the new ontology, and iteratively guides the user to parts from existing ontologies which match his preferences for reuse. Finally, we developed a prototype of our ontology recommendation system and conducted a user-based evaluation to assess the effectiveness of our approach.
elib-URL des Eintrags: | https://elib.dlr.de/198010/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse | ||||||||||||||||
Autoren: |
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Datum: | 7 Oktober 2023 | ||||||||||||||||
Erschienen in: | Future Internet | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 15 | ||||||||||||||||
DOI: | 10.3390/fi15100331 | ||||||||||||||||
Seitenbereich: | Seite 331 | ||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||
ISSN: | 1999-5903 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | ontology recommendation; ontology reuse; biomedical ontologies; recommender systems | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - MOMENTUM | ||||||||||||||||
Standort: | Jena | ||||||||||||||||
Institute & Einrichtungen: | Institut für Datenwissenschaften > Datengewinnung und -mobilisierung | ||||||||||||||||
Hinterlegt von: | Klan, Dr. Friederike | ||||||||||||||||
Hinterlegt am: | 13 Nov 2023 15:45 | ||||||||||||||||
Letzte Änderung: | 17 Nov 2023 09:05 |
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