Title :
Revelation and Evaluation on Generation and Application of Empirical Rules with Semantics
Author_Institution :
Le2i, Univ. of Bourgogne, Dijon, France
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;
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
DOI :
10.1109/ICCMS.2010.114
