Title :
Searching and Establishment of S-P-O Relationships for Linked RDF Graphs: An Adaptive Approach
Author :
Chakraborty, Arpan ; Munshi, Sugata ; Mukhopadhyay, Debdeep
Author_Institution :
Dept. of Comput. Sci. Eng., Techno India Coll. of Technol., Kolkata, India
Abstract :
In the coming era of semantic web linked data analysis is a very burning issue for efficient searching and retrieval of information. One way of establishing this link is to implement subject-predicate-object relationship through Set Theory approach which is already done in our previous work. For analyzing inter-relationship between two RDF Graphs, RDFSchema(RDFS) should also be taken care of. In the present paper, an adaptive combination rule based framework has been proposed for establishment of S-P-O (Subject-Predicate-Object)relationship and RDF Graph searching is reported. Hence the identification of criteria for inter-relationship of RDF Graphs opens up new road in semantic search.
Keywords :
data analysis; graph theory; information retrieval; knowledge based systems; semantic Web; set theory; RDF graph searching; RDFSchema(RDFS); S-P-O relationships; adaptive approach; adaptive combination rule based framework; information retrieval; information searching; interrelationship analysis; linked RDF graphs; linked data analysis; semantic Web; semantic search; set theory approach; subject-predicate-object relationship; Data models; Green products; Resource description framework; Search problems; Semantics; Blank Node; Dampster Shafer Rule; Pattern analyzer; RDF Graph; RDF Graph Relation; RDFSet; Subject-Predicate-Object; Triple; URISequence; adaptiveness;
Conference_Titel :
Cloud & Ubiquitous Computing & Emerging Technologies (CUBE), 2013 International Conference on
Conference_Location :
Pune
Print_ISBN :
978-1-4799-2234-5
DOI :
10.1109/CUBE.2013.36