Title :
Study of Semantic Web Usage Mining
Author_Institution :
Liaoning Univ. Int. Bus. & Econ., Dalian, China
Abstract :
The related theories of Web and Web mining in semantic are concluded and analyzed in this paper. The description on RDF resource is analyzed on the semantic step, and the clustering method for RDFMS data clustering based on Semantic distance is proposed, with the detailed description for the algorithm and examples. With the discussion on the data mining techniques for semantic Web mining, the design on inductive logic programming is proposed for the data mining techniques that are suitable to the semantic Web. Additionally, how to apply to the description of the algorithm is given through the specific examples to verify the feasibility for the data mining in the semantic Web environment.
Keywords :
data mining; inductive logic programming; pattern clustering; semantic Web; RDF resource; RDFMS data clustering method; data mining techniques; inductive logic programming; semantic Web usage mining; semantic distance; semantic step; Algorithm design and analysis; Clustering algorithms; Data mining; Ontologies; Semantic Web; Semantics; XML; Inductive Logic Programming; RDFMS Data Clustering; Semantic Web; Web Mining;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
DOI :
10.1109/CSNT.2013.144
