Mining Data Using Various Sequential Patterns Mining Algorithm in Semantic Web Environment

  Janki M. Padaliya,  Arjun V. Bala

The semantic Web is a second generation of the current World Wide Web (WWW). Where information is given well-defined meaning, and also changing Web contents into machine understandable form, it would promote quality and intelligence of the Web. To facilitate this process, RDF (Resource Description Frameworks) and OWL (Web Ontology Language) have been developed as standard formats for the sharing and integration of data and knowledge the latter in the form of rich conceptual schemas called ontologies. Data Mining is the nontrivial process of identifying valid, previously unknown, potentially useful patterns in data. Semantic Web Mining refers to the application of data mining techniques to extract knowledge from WWW or the area of data mining that refers to the use of algorithms for extracting patterns from resources distributed over in the web. In this paper we propose a new method for mining sets of sequential patterns for classification, where patterns are represented as SPARQL queries over RDFS. From the various Sequential pattern mining algorithms we have apply here VMSP algorithm in semantic web to fetch sequential pattern from the semantic web data efficiently.

Keywords- Web, Data Mining, Sequential pattern Discovery, RDF, SPARQL, Ontology.

Unique Identification Number - IJEDR1404043
Page Number(s) - 3662-3666
Pubished in - Volume 2 | Issue 4 | Dec 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Janki M. Padaliya,  Arjun V. Bala,   "Mining Data Using Various Sequential Patterns Mining Algorithm in Semantic Web Environment", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 4, pp.3662-3666, Dec 2014, Available at :http://www.ijedr.org/papers/IJEDR1404043.pdf