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Trust evaluation of multimedia documents based on extended provenance model in social semantic web.
- Source :
- Multimedia Tools & Applications; Oct2019, Vol. 78 Issue 20, p28681-28702, 22p
- Publication Year :
- 2019
-
Abstract
- Recently, the importance of social semantic web, which is a combination of the semantic web and the social web, has been increasing with active data creation and sharing through the Web. In this paper, we proposes a provenance based trust evaluation scheme of multimedia documents by extending the PROV data model in social semantic web. The proposed scheme extends the PROV data model of W3C to manage the provenance and evaluate the trust of multimedia documents in a social semantic web environment. The trust of multimedia documents is evaluated by considering the agent trust, source document trust, and reputation score of current document. The evaluated trust is managed as provenance information, and when users request a query, the query results are generated by considering trust. To verify the validity of the proposed scheme, the trust is compared and evaluated using SPARQL queries. [ABSTRACT FROM AUTHOR]
- Subjects :
- SEMANTIC Web
TRUST
DATA modeling
Subjects
Details
- Language :
- English
- ISSN :
- 13807501
- Volume :
- 78
- Issue :
- 20
- Database :
- Complementary Index
- Journal :
- Multimedia Tools & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 138579166
- Full Text :
- https://doi.org/10.1007/s11042-018-6243-7