Abstract
Trust plays an important part in people’s decision processes for using information. This is especially true on the Web, which has less quality control for publishing information. Untrustworthy data may lead users to make wrong decisions or result in the misunderstanding of concepts. Therefore, it is important for users to have a mechanism for assessing the trustworthiness of the information they consume. Prior research focuses on policy-based and reputation-based trust. It does not take the information itself into account. In this PhD research, we focus on evaluating the trustworthiness of Web content based on available and inferred metadata that can be obtained using Semantic Web technologies. This paper discusses the vision of our PhD work and presents an approach to solve that problem.
Chapter PDF
Similar content being viewed by others
Keywords
- Resource Description Framework
- Resource Description Framework Graph
- Content Trust
- Propose Trust Model
- User Base Test
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 34–43 (2001)
Bizer, C., Cyganiak, R.: Quality-driven information filtering using the WIQA policy framework. Web Semantics: Science, Services and Agents on the World Wide Web 7(1), 1–10 (2009)
Fogg, B.J., Marshall, J., Osipovich, A., Varma, C., Laraki, O., Fang, N., Paul, J., Rangnekar, A., Shon, J., Swani, P., Treinen, M.: Elements that Affect Web Credibility: Early Results from a Self-Report Study. In: Human Factors in Computing Systems, pp. 287–288 (2000)
Gil, Y., Artz, D.: Towards content trust of web resources. Web Semantics: Science, Services and Agents on the World Wide Web 5(4), 227–239 (2007)
Gil, Y., Ratnakar, V.: Trusting Information Sources One Citizen at a Time. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 162–176. Springer, Heidelberg (2002)
Golbeck, J., Hendler, J.: Accuracy of Metrics for Inferring Trust and Reputation in Semantic Web-Based Social Networks. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds.) EKAW 2004. LNCS (LNAI), vol. 3257, pp. 116–131. Springer, Heidelberg (2004)
Golbeck, J., Parsia, B.: Trust network-based filtering of aggregated claims. International Journal of Metadata, Semantics and Ontologies 1(1), 58–65 (2006)
Heath, T., Motta, E.: Reviews and ratings on the semantic web. In: The 5th International Semantic Web Conference (ISWC 2006), pp. 7–8 (2006)
Heath, T., Motta, E., Petre, M.: Computing word-of-mouth trust relationships in social networks from semantic web and web2. 0 data sources. In: Proceedings of the Workshop on Bridging the Gap between Semantic Web and Web, Citeseer, vol. 2, pp. 44–56 (2007)
RDF Working Group: Resource Description Framework (RDF) (2004), http://www.w3.org/RDF/
Rieh, S., Belkin, N.: Understanding judgment of information quality and cognitive authority in the WWW. In: Proceedings of the 61st Annual Meeting of the American Society for Information Science, Citeseer, vol. 35, pp. 279–289 (1998)
W3C: RDF Primer (2004), http://www.w3.org/TR/2004/REC-rdf-primer-20040210/
Wang, W., Zeng, G., Tang, D.: Using evidence based content trust model for spam detection. Expert Systems with Applications 37(8), 5599–5606 (2010)
Wang, X., Zhang, F.: A New Trust Model Based on Social Characteristic and Reputation Mechanism for the Semantic Web. In: First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), pp. 414–417 (January 2008)
Wathen, C.N., Burkell, J.: Believe it or not: Factors influencing credibility on the Web. Journal of the American Society for Information Science and Technology 53(2), 134–144 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pattanaphanchai, J. (2011). DC Proposal: Evaluating Trustworthiness of Web Content Using Semantic Web Technologies. In: Aroyo, L., et al. The Semantic Web – ISWC 2011. ISWC 2011. Lecture Notes in Computer Science, vol 7032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25093-4_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-25093-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25092-7
Online ISBN: 978-3-642-25093-4
eBook Packages: Computer ScienceComputer Science (R0)