DocumentCode :
2187751
Title :
GA enabled ontology for platform free dynamic semantic web
Author :
Marikkannu, P. ; Prasad, Purnima
Author_Institution :
Anna Univ. Regional Centre, Coimbatore, India
fYear :
2013
fDate :
7-9 Oct. 2013
Firstpage :
774
Lastpage :
781
Abstract :
Internet plays a vital role in every aspect of our lives. The urge for speed has become a thriving faction when it comes to downloading and the information to be retrieved is not efficient as the web contents are not understandable by computers.GA enabled ontology for platform free dynamic semantic web aims at enhancing the web content with metadata to make it more meaningful. The analysis of the extracted token is carried out similar to Bootstrapping Ontology using TF/IDF for word ranking, Genetic Algorithm for finding the promise able region of identifying relevant words and fuzzy logic for ontology mapping. Using fuzzy logic, page with maximum optimization or best fit is ranked and grouped in index order, based on the priority background knowledge to the reference word and other possible links are displayed in the adjacent frame of the splitter window so that the user can toggle between the splitter windows. Thus an ordinary web page is converted into semantic web in the space specified for the user dynamically and similarly as and when the user clicks on the other references these grouped contents are also converted into semantic structure dynamically.
Keywords :
Internet; fuzzy logic; genetic algorithms; information retrieval; ontologies (artificial intelligence); semantic Web; GA enabled ontology; Internet; Web content; Web page; bootstrapping ontology; fuzzy logic; genetic algorithm; information retrieval; metadata; ontology mapping; platform free dynamic semantic Web; splitter windows; Biological cells; Genetic algorithms; Java; Ontologies; Semantic Web; Semantics; Sociology; Bootstrapping Ontology; Genetic Algorithm; Information retrieval; Inverse document frequency; Ontology; Semantic web; Term frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Information Conference (SAI), 2013
Conference_Location :
London
Type :
conf
Filename :
6661829
Link To Document :
بازگشت