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A RULE‐BASED APPROACH FOR SEMANTIC ANNOTATION EVOLUTION
Author(s) -
Luong P.H.,
DiengKuntz R.
Publication year - 2007
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.2007.00308.x
Subject(s) - computer science , semantic web , annotation , ontology , semantic computing , vocabulary , semantic analytics , semantic web stack , semantic grid , social semantic web , information retrieval , intranet , artificial intelligence , natural language processing , world wide web , the internet , philosophy , linguistics , epistemology
An approach for managing knowledge in an organization in the new infrastructure of Semantic Web consists of building a corporate semantic web (CSW). The main components of a CSW are (i) evolving resources distributed over an intranet and indexed using (ii) semantic annotations expressed with the vocabulary provided by (iii) a shared ontology. However, changes in the operating environment may lead to some inconsistencies in the system and they result in need of modifications of the CSW components. These changes need to be evolved and well managed. In this paper we present a rule‐based approach allowing us to detect and correct semantic annotation inconsistencies. This rule‐based approach is implemented in the CoSWEM system enabling to manage the evolution of such a CSW, especially to address the evolution of semantic annotations when its underlying ontologies change.