Title :
Analysis of provenance data stack for OWL ontology relevance
Author :
Pandey, M. ; Pandey, R.
Author_Institution :
Amity Univ., Lucknow, India
Abstract :
Semantic web is a web that allows for intelligent knowledge representation and retrieval. However intelligent information retrieval must also cater to the credibility of data being delivered to a seeker of information. Provenance, which tracks the lineage of data items present in the web, is an efficient way to deliver trustworthy data. Provenance is crucial as it allows users to be sure about the content that is being delivered to them. It also aids in reproducibility, result analysis and problem diagnosis. In this paper we have made an endeavor to describe Provenance Architecture Stack and state its relevance to OWL Ontology.
Keywords :
information retrieval; knowledge representation languages; ontologies (artificial intelligence); semantic Web; OWL ontology relevance; intelligent information retrieval; knowledge representation; knowledge retrieval; problem diagnosis; provenance architecture stack; provenance data stack; result analysis; semantic Web; Computer architecture; Data models; Educational institutions; Grid computing; OWL; Ontologies; Metadata; Ontology; Provenance; Semantic Web; Trust;
Conference_Titel :
Parallel, Distributed and Grid Computing (PDGC), 2014 International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4799-7682-9
DOI :
10.1109/PDGC.2014.7030772