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Multiple ontology integration: reuse and conflict management

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Raphael Mendes de Oliveira Cobe
Total Authors: 1
Document type: Doctoral Thesis
Press: São Paulo.
Institution: Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI)
Defense date:
Examining board members:
Renata Wassermann; Eduardo Leopoldo Fermé; Marcelo Finger; Frederico Luiz Gonçalves de Freitas; Ivan José Varzinczak
Advisor: Renata Wassermann

Knowledge reuse is a key task during any system development. Nevertheless, careless knowledge reuse may generate conflicting outcomes regarding the system goal, leading such systems to unpredictable behaviour. With that in mind, during this research we studied the consequences of knowledge reuse in ontologies based on description logics. We focused mainly on conflicts arising from ontology merging. We investigated and compared the features developed for this purpose on ontology development tools and how the theory field proposed to deal with the same issues. We developed both a logical and a software framework grouped into a process that aims to help the ontology designer solve conflicts arising from ontology merging. The process groups common tasks that are normally described separately. We believe that the unification of these approaches should result in a better solution for the merging conflicts. We concentrated our efforts during this work on building algorithms for building maximal sub-ontologies where such conflicts are non-existent as well as means for ordering such sets according to a few relevance criteria commonly described at the literature. Such algorithms were implemented and tested against automatically generated and real data. (AU)

FAPESP's process: 08/10498-8 - OnAIR2.0: multiple ontology integration: reuse and conflict management
Grantee:Raphael Mendes de Oliveira Cóbe
Support Opportunities: Scholarships in Brazil - Doctorate