Abstract : Attribute exploration in FCA is proposed by Baader etc. in the past decade and it is an effective tool applying to description logics to construct ontology on Semantic Web. The authors firstly introduce attribute exploration algorithm, then investigate different cases in which the redundant computation may occur. As new results, the improved attribute exploration algorithm is proposed in terms of relevancy. We also give the proof of the completeness of the improved algorithm, and show how the proposed algorithm avoids redundancy and simplifies computation in some certain cases. We finally present the method to construct an ontology based on attribute exploration algorithm(AEOCM) on the open formal context, and specify the implement-tation procedure of this method in terms of instantiation.
Zhongzhi Shi; Sunil Vadera; Agnar Aamodt; David Leake. 6th IFIP TC 12 International Conference on Intelligent Information Processing (IIP), Oct 2010, Manchester, United Kingdom. Springer, IFIP Advances in Information and Communication Technology, AICT-340, pp.234-244, 2010, Intelligent Information Processing V. 〈10.1007/978-3-642-16327-2_29〉
https://hal.inria.fr/hal-01055073
Contributeur : Hal Ifip
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Soumis le : lundi 11 août 2014 - 11:48:16
Dernière modification le : vendredi 11 août 2017 - 14:50:36
Document(s) archivé(s) le : mercredi 26 novembre 2014 - 22:01:51
Qin Ping, Zhang Zhongxiang, Gao Hualing, Wang Ju. Attribute Exploration Algorithms on Ontology Construction. Zhongzhi Shi; Sunil Vadera; Agnar Aamodt; David Leake. 6th IFIP TC 12 International Conference on Intelligent Information Processing (IIP), Oct 2010, Manchester, United Kingdom. Springer, IFIP Advances in Information and Communication Technology, AICT-340, pp.234-244, 2010, Intelligent Information Processing V. 〈10.1007/978-3-642-16327-2_29〉. 〈hal-01055073〉
