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Abstract
In this paper we present a development of our ontology alignment framework based on varying semantics of attributes. Emphasising the analysis of explicitly given descriptions of how attributes change meanings they entail while being included within different concepts have been proved useful. Moreover, we claim that it is consistent with the intuitive way how people see the real world and how they find similarities and correspondences between its elements. In this paper we concentrate on the issue of tracking changes that may occur within aligned ontologies and how these potential changes can influence the process of finding new mappings or validating ones that have already been found.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Published in:
-
LECTURE NOTES IN COMPUTER SCIENCE
no. 8733,
pages 394 - 403,
ISSN: 0302-9743 - Title of issue:
- Computational Collective Intelligence. Technologies and Applications: 6th International Conference, ICCCI 2014, Seoul, Korea, September 24-26, 2014. Proceedings strony 394 - 403
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Pietranik M., Ngoc Thanh Nguyen, Orłowski C.: Increasing the Efficiency of Ontology Alignment by Tracking Changes in Ontology Evolution// Computational Collective Intelligence. Technologies and Applications: 6th International Conference, ICCCI 2014, Seoul, Korea, September 24-26, 2014. Proceedings/ ed. Editors: Dosam Hwang, Jason J. Jung, Ngoc-Thanh Nguyen : , 2014, s.394-403
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-11289-3_40
- Verified by:
- Gdańsk University of Technology
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