A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse
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 onto...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/15/10/331 |
| _version_ | 1797626785339277312 |
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| author | Marwa Abdelreheim Taysir Hassan A. Soliman Friederike Klan |
| author_facet | Marwa Abdelreheim Taysir Hassan A. Soliman Friederike Klan |
| author_sort | Marwa Abdelreheim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T10:15:07Z |
| format | Article |
| id | doaj.art-c39d2fe04a274767a10c4deba980acb2 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-11T10:15:07Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-c39d2fe04a274767a10c4deba980acb22023-11-16T10:28:26ZengMDPI AGFuture Internet1999-59032023-10-01151033110.3390/fi15100331A Personalized Ontology Recommendation System to Effectively Support Ontology Development by ReuseMarwa Abdelreheim0Taysir Hassan A. Soliman1Friederike Klan2Department of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 71515, EgyptDepartment of Information Systems, Faculty of Computers and Information, Assiut University, Assiut 71515, EgyptGerman Aerospace Center, Institute of Data Science, Maelzerstraße 3-5, 07743 Jena, GermanyThe 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.https://www.mdpi.com/1999-5903/15/10/331ontology recommendationontology reusebiomedical ontologiesrecommender systems |
| spellingShingle | Marwa Abdelreheim Taysir Hassan A. Soliman Friederike Klan A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse Future Internet ontology recommendation ontology reuse biomedical ontologies recommender systems |
| title | A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse |
| title_full | A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse |
| title_fullStr | A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse |
| title_full_unstemmed | A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse |
| title_short | A Personalized Ontology Recommendation System to Effectively Support Ontology Development by Reuse |
| title_sort | personalized ontology recommendation system to effectively support ontology development by reuse |
| topic | ontology recommendation ontology reuse biomedical ontologies recommender systems |
| url | https://www.mdpi.com/1999-5903/15/10/331 |
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