An evolutionary algorithm for discovering multi-relational association rules in the semantic web

Author:

Tran Minh Duc1,d'Amato Claudia2,Nguyen Binh Thanh3,Tettamanzi Andrea G. B.1

Affiliation:

1. Université Côte d'Azur, Inria, France

2. University of Bari, Italy

3. The University of Danang - University of Science and Technology, Vietnam

Publisher

ACM

Reference20 articles.

1. Mining association rules between sets of items in large databases

2. F. Baader D. Calvanese D. L. McGuinness D. Nardi and P. F. Patel-Schneider (Eds.). 2003. The Description Logic Handbook: Theory Implementation and Applications. Cambridge Univ. Press. F. Baader D. Calvanese D. L. McGuinness D. Nardi and P. F. Patel-Schneider (Eds.). 2003. The Description Logic Handbook: Theory Implementation and Applications . Cambridge Univ. Press.

3. T. Berners-Lee J. Hendler and O. Lassila. 2001. The Semantic Web. Scientific American (2001). T. Berners-Lee J. Hendler and O. Lassila. 2001. The Semantic Web. Scientific American (2001).

4. Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases

5. C. d'Amato A. Tettamanzi and D. M. Tran. 2016. Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases. In EKAW. 113--128. 10.1007/978-3-319-49004-5_8 C. d'Amato A. Tettamanzi and D. M. Tran. 2016. Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases. In EKAW . 113--128. 10.1007/978-3-319-49004-5_8

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