Skip to main content
Log in

Determining trust in media-rich websites using semantic similarity

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Significant growth of multimedia content on the World Wide Web (or simply ‘Web’) has made it an essential part of peoples lives. The web provides enormous amount of information, however, it is very important for the users to be able to gauge the trustworthiness of web information. Users normally access content from the first few links provided to them by search engines such as Google or Yahoo!. This is assuming that these search engines provide factual information, which may be popular due to criteria such as page rank but may not always be trustworthy from the factual aspects. This paper presents a mechanism to determine trust of websites based on the semantic similarity of their multimedia content with already established and trusted websites. The proposed method allows for dynamic computation of the trust level of websites of different domains and hence overcomes the dependency on traditional user feedback methods for determining trust. In fact, our method attempts to emulate the evolving process of trust that takes place in a user’s mind. The experimental results have been provided to demonstrate the utility and practicality of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. LSCOM: large scale ontology for multimedia. URL: http://lastlaugh.inf.cs.cmu.edu/lscom/. Last accessed 22 March 2011

  2. Medical Library Association. URL: http://www.mlanet.org/resources/medspeak/topten.html. Last accessed 22 March 2011

  3. WordNet. URL: http://www.w3.org/2001/sw/BestPractices/WNET/wordnet-sw-20040713.html. Last accessed 22 March 2011

  4. Oxford english dictionary: the compact edition. Oxford University Press, New York (1971)

  5. Al-Ani B, Redmiles D (2008) Forces that influence trust in technology in the Middle East: culture, politics and history. In: ACM workshop on HCI for community and international development

  6. Albertoni R, Martino MD (2008) Asymmetric and context-dependent semantic similarity among ontology instances. Springer journal on data semantics X. LNCS 4900:1–30

    Google Scholar 

  7. Andreatta C (2008) Ontology based viso-semantic similarity for image retrieval. In: International workshop on content-based multimedia indexing, pp 70–76. London, UK

  8. Ang L, Dubelaar C, Lee BC (2001) To trust or not to trust? A model of internet trust from the customer’s point of view. In: The 14th Bled electronic commerce conference, pp 40–52. Bled, Slovenia

    Google Scholar 

  9. Barrington L, Chan A, Turnbull D, Lanckriet G (2007) Audio information retrieval using semantic similarity. In: The IEEE international conference on acoustics, speech and signal processing, vol 2, pp II-725–II-728

  10. Batko M, Falchi F, Lucchese C, Novak D, Perego R, Rabitti F, Sedmidubsky J, Zezula P (2010) Building a web-scale image similarity search system. Multimed Tools Appl 47:599–629

    Article  Google Scholar 

  11. Belanger F, Hiller JS, Smith WJ (2002) Trustworthiness in electronic commerce: the role of privacy, security, and site attributes. J Strateg Inf Syst 11:245–270

    Article  Google Scholar 

  12. Bizer C, Oldakowski R (2004) Using context- and content-based trust policies on the semantic web. In: The 13th international world wide web conference on alternate track papers and posters, pp 228–229

  13. Brin S, Page L (1998) The anatomy of a large-scale hyper textual web search engine. Comput Netw ISDN Syst 30(1–7):107–117

    Article  Google Scholar 

  14. Buttler D (2004) A short survey of document structure similarity algorithms. In: The 5th international conference on internet computing

  15. Chen W (2010) Content-based image detection of semantic similarity. In: The 2nd international workshop on education technology and computer science, vol 2, pp 452–455. Wuhan, China

  16. Chen X, Kiyoki Y (2007) A visual and semantic image retrieval method based on similarity computing with query-context recognition. In: The 18th European–Japanese conference on information modelling and knowledge bases, pp 245–252. Yyteri, Pori, Finland

  17. Choi J, Cho M, Park SH, Kim P (2003) Concept-based image retrieval using the new semantic similarity measurement. In: International conference on computational science and its applications, vol 2667, pp 967–968. Montreal, Canada

  18. Daniel B (2002) Building social capital in virtual learning communities. URL: http://www.usask.ca/education/coursework/802papers/daniel/index.htm. Last accessed 22 March 2011

  19. Emurian HH, Wang DY (2005) An overview of online trust. Comput Hum Behav 21:105–125

    Article  Google Scholar 

  20. Fox S (2000) Trust and privacy online: why Americans want to rewrite the rules. The Pew Internet and American Life Project, Washington, DC. URL: http://www.pewinternet.org/Reports/2000/Trust-and-Privacy-Online/Summary/Findings.aspx. Last accessed 22 March 2011

  21. Friedman B, Howe D, Kahn P (2000) Trust online. Commun ACM 43(12):34–40

    Article  Google Scholar 

  22. Golbeck J, Hendler J (2006) Inferring binary trust relationships in web-based social networks. ACM Trans Internet Technol 6(4):497–529

    Article  Google Scholar 

  23. Husted B (1998) The ethical limits of trust in business relations. Bus Ethics Q 8(2):233–242

    Article  Google Scholar 

  24. Ibrahim H, Atrey PK, El Saddik A (2007) Semantic similarity based trust computation in websites. In: The ACM international workshop on the many faces of multimedia semantics, pp 65–72. Augsburg, Germany

  25. Jung MY, Park SH (2009) Semantic similarity based video retrieval. In: Studies in computational intelligence—new directions in intelligent interactive multimedia systems and services—2, vol 226, pp 381–390

  26. Kaur I, Hornof AJ (2005) A comparison of LSA, WordNet and PMI-IR for predicting user click behavior. In: The SIGCHI conference on human factors in computing systems, pp 51–60

  27. Kobayashi N, Inui K, Matsumoto Y (2007) Opinion mining from web documents: extraction and structurization. Inf Media Technol 2(1):326–337

    Google Scholar 

  28. Lee MD, Pincombe B, Welsh M (2005) An empirical evaluation of models of text document similarity. In: The 27th annual meeting of the Cognitive Science Society, pp 1254–1259. Austin, USA

  29. Li Y, Raimund E (2008) Integrating trust management into usage control in p2p multimedia delivery. In: The 20th international conference on software engineering and knowledge engineering. San Francisco Bay, USA

  30. Liu Y, Zhang D, Lu G, Ma W-Y (2007) A survey of content-based image retrieval with high-level semantics. Pattern Recogn 40:262–282

    Article  MATH  Google Scholar 

  31. Neilsen J (1999) Trust or bust: communicating trustworthiness in web design. Jacob Nielsen’s Alertbox. URL: http://www.useit.com/alertbox/990307.html. Last accessed 22 March 2011

  32. Nissenbaum H (2001) Securing trust online: wisdom or oxymoron? Boston Univ Law Rev 81:101–131

    Google Scholar 

  33. Oommen JB, Rueda L (2005) A formal analysis of why heuristic functions work. Artif Intell 164:1–22

    Article  MathSciNet  MATH  Google Scholar 

  34. Ramanna S (2010) Discovering image similarities: tolerance near set approach. In: Pal S, Peters J (eds) Rough fuzzy image analysis. Foundations and methodologies, CRC Press, Taylor & Francis Group

  35. Ryan MJ (2004) Trusting yourself: how to stop feeling overwhelmed and live more happily with less effort. Crown Archetype

  36. Schneider GK (2008) Beyond algorithms: a librarian’s guide to finding web sites you can trust. URL: http://www.google.com/librariancenter/articles/0601_02.html. Last accessed 22 March 2011

  37. Singh R, Bhattarai BD (2010) Dynamic content-page identification for media-rich websites. Multimed Tools Appl 50(3):491–507

    Article  Google Scholar 

  38. Smeulders AWM, Worring M, Santini S, Gupta A, Jain R (2000) Content-based image retrieval at the end of the early-years. IEEE Trans Pattern Anal Mach Intell 22:1349–1380

    Article  Google Scholar 

  39. Torres V, Rodríguez E, Llorente S, Delgado J (2005) Trust and rights in multimedia content management systems. In: The IASTED conference on web technologies, applications, and services. Calgary, Canada

  40. Wei W, Bin Y, Bang-sheng C (2010) Audio scene semantic similarity computing approach. In: The 2nd IEEE international conference on information management and engineering, pp 85–89

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pradeep K. Atrey.

Additional information

Authors sincerely thank the Natural Science and Engineering Research Council of Canada and the King Saud University Visiting Professors Program for supporting this research.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Atrey, P.K., Ibrahim, H., Anwar Hossain, M. et al. Determining trust in media-rich websites using semantic similarity. Multimed Tools Appl 60, 69–96 (2012). https://doi.org/10.1007/s11042-011-0798-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-011-0798-x

Keywords

Navigation