Revelation and Evaluation on Generation and Application of Empirical Rules with Semantics

Author

Duan, Yucong

Author_Institution

Le2i, Univ. of Bourgogne, Dijon, France

Volume

1

fYear

2010

Firstpage

544

Lastpage

550

Abstract

Deduction and inference rules appear to help achieving new knowledge automatically. In this work, their nature of generation are revealed and evaluated from both theoretical and empirical backgrounds. The application of the rules generation is shown with the semantics rules generation for a 3D architectural project which relates the civil semantics concepts to geometrical concepts for identification and validation of objects´ interactions. The extension mechanism for new natural language concepts is also revealed and evaluated.

Keywords

data mining; inference mechanisms; natural language processing; 3D architectural project; deduction rules; inference rules; natural language concepts; object interaction validation; semantics rules generation; Application software; Computational modeling; Computer simulation; Humans; Knowledge based systems; Logic; Natural languages; OWL; Open wireless architecture; Semantic Web; generation; incomplete; modeling; natural language; revelation; semantics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4244-5642-0

Electronic_ISBN

978-1-4244-5643-7

Type

conf

DOI

10.1109/ICCMS.2010.114

Filename

5421332