Ontology Merging Task
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An Ontology Merging Task is a database merging task whose inputs are ontologies.
- Context:
- Input: two or more Ontologies.
- output: a single Ontology.
- It can be solved by an Ontology Merging System that applies an (Ontology Merging Algorithm).
- It can be supported by an Ontology Matching Task.
- Example(s):
- Counter-Example(s):
- See: Data Integration Task.
References
2015
- (Navigli, 2015) ⇒ Roberto Navigli. (2015). “Ontologies.” In: Reference Book Journal.
- QUOTE: This chapter is about ontologies, that is, knowledge models of a domain of interest. We introduce ontologies, view them from the perspective of several fields of knowledge, and present existing ontologies and the different tasks of ontology building, learning, matching, mapping and merging.
2007
- (Obitko, 2007) ⇒ (2007) http://www.obitko.com/tutorials/ontologies-semantic-web/operations-on-ontologies.html Translations Between Ontologies in Multi-agent Systems - Ontology Operations].” PhD Thesis, Czech Technical University
- It is possible that one application uses multiple ontologies, especially when using modular design of ontologies or when we need to integrate with systems that use other ontologies. In this case, some operations on ontologies may be needed in order to work with all of them. We will summarize some of these operations. The terminology in this areas is still not stable and different authors may use these terms in a bit shifted meaning, and so the terms may overlap, however, all of these operations are important for maintenance and integration of ontologies.
- Merge of ontologies means creation of a new ontology by linking up the existing ones. Conventional requirement is that the new ontology contains all the knowledge from the original ontologies, however, this requirement does not have to be fully satisfied, since the original ontologies may not be together totally consistent. In that case the new ontology imports selected knowledge from the original ontologies so that the result is consistent. The merged ontology may introduce new concepts and relations that serve as a bridge between terms from the original ontologies.
- Mapping (...)
- It is possible that one application uses multiple ontologies, especially when using modular design of ontologies or when we need to integrate with systems that use other ontologies. In this case, some operations on ontologies may be needed in order to work with all of them. We will summarize some of these operations. The terminology in this areas is still not stable and different authors may use these terms in a bit shifted meaning, and so the terms may overlap, however, all of these operations are important for maintenance and integration of ontologies.
2006
- (Choi et al., 2006) ⇒ Namyoun Choi, Il-Yeol Song, and Hyoil Han. (2006). “A Survey on Ontology Mapping.” In: ACM SIGMOD Record Journal, 35(3). doi:10.1145/1168092.1168097
- QUOTE: … Ontology merging, integration, and alignment can be considered as an ontology reuse process. [2,24] Ontology merging is the process of generating a single, coherent ontology from two or more existing and different ontologies related to the same subject.26 A merged single coherent ontology includes information from all source ontologies but is more or less unchanged. The original ontologies have similar or overlapping domains but they are unique and not revisions of the same ontology. Ontology alignment is the task of creating links between two original ontologies. Ontology alignment is made if the sources become consistent with each other but are kept separate.15 Ontology alignment is made when they usually have complementary domains. Ontology integration is the process of generating a single ontology in one subject from two or more existing and different ontologies in different subjects. The different subjects of the different ontologies may be related. Some change is expected in a single integrated ontology.