DocumentCode :
228410
Title :
OWL, RDF, RDFS inference derivation using Jena semantic framework & pellet reasoner
Author :
Khan, Junaid A. ; Kumar, Sudhakar
Author_Institution :
Dept. of Comput. Sci. & Eng., GGSIP Univ., New Delhi, India
fYear :
2014
fDate :
1-2 Aug. 2014
Firstpage :
1
Lastpage :
8
Abstract :
Semantic web is an extension of World Wide Web. In Semantic web each resources and services is annotated with the help of web ontology language (OWL). Resource description framework (RDF) represents the web information into its properties and values. Resource description framework schema (RDFS) represents information resources into classes and properties are defined with the help of these classes. In this paper we create university ontology with the help of protégé 4.3 alpha tool. We have proposed information retrieval framework that produce results with better precision, recall and information overkill. With the help of Jena semantic framework and pellet reasoner tools we analyze that OWL inference provide more relevant information compared to None, RDF and RDFS. We have developed five university domain ontologies but presented the result only for two ontologies. We have validated that our proposed framework provide more relevant information for these two ontologies.
Keywords :
inference mechanisms; information retrieval; knowledge representation languages; ontologies (artificial intelligence); semantic Web; Jena semantic framework; OWL inference; Pellet reasoner; RDFS inference derivation; Web ontology language; World Wide Web; information retrieval; protégé 4.3 alpha tool; resource description framework; semantic Web; university ontology; Conferences; Educational institutions; OWL; Ontologies; Resource description framework; XML; Jena semantic framework; OWL; Pellet reasoner; Protégé 4.3 alpha tool; RDF; RDFS; Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on
Conference_Location :
Unnao
ISSN :
2347-9337
Type :
conf
DOI :
10.1109/ICAETR.2014.7012871
Filename :
7012871
Link To Document :
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