Extending abstract notation to ontology provenance using PROV-ASN

Author

Pandey, M. ; Pandey, R.

Author_Institution

AIIT, Amity Univ., Lucknow, India

fYear

2014

fDate

11-13 Dec. 2014

Firstpage

374

Lastpage

379

Abstract

Intelligent information retrieval and data credibility is maintained by the use of Provenance in semantic web. However there is still a need to embed provenance data in a simpler form so that it is trusted and is easily available for human consumption. This Objective is achieved by the use of PROV-ASN that provides multiple expression assertions for the use of abstract notations to represent provenance information on the semantic web. In this paper we have made an endeavour to create valid PROV-ASN instances by embedding entity, agent and activity expressions with reference to University People Program Ontology.

Keywords

information retrieval; multi-agent systems; ontologies (artificial intelligence); semantic Web; PROV-ASN; University People Program Ontology; abstract syntax notation; activity expressions; agent; data credibility; entity; expression assertions; intelligent information retrieval; ontology provenance; provenance information; semantic Web; Abstracts; Computer languages; Educational institutions; Grid computing; Ontologies; Semantic Web; Syntactics; ASN; Metadata; Ontology; PROV-ASN assertions; Provenance; Trust;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel, Distributed and Grid Computing (PDGC), 2014 International Conference on

Conference_Location

Solan

Print_ISBN

978-1-4799-7682-9

Type

conf

DOI

10.1109/PDGC.2014.7030774

Filename

7030774