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Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/7086

Título: Ontologies learn by searching
Autor: Cavaco, Francisco António Gonçalves
Orientador: Gonçalves, Ricardo
Sarraipa, João
Palavras-chave: Ontology
Semantic mapping
Semantic interoperability
Dynamic information Systems
Complex systems
Issue Date: Sep-2011
Editora: FCT-UNL
Resumo: Due to the worldwide diversity of communities, a high number of ontologies representing the same segment of reality which are not semantically coincident have appeared. To solve this problem, a possible solution is to use a reference ontology to be the intermediary in the communications between the community enterprises and to outside. Since semantic mappings between enterprise‘s ontologies are established, this solution allows each of the enterprises to keep internally its own ontology and semantics unchanged. However information systems are not static, thus established mappings become obsoletes with time. This dissertation‘s objective is to identify a suitable method that combines semantic mappings with user‘s feedback, providing an automatic learning to ontologies & enabling auto-adaptability and dynamism to the information systems
Descrição: Dissertation to obtain the Master degree in Electrical Engineering and Computer Science
URI: http://hdl.handle.net/10362/7086
Appears in Collections:FCT: DEE - Dissertações de Mestrado

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