Abstract
The concept of refining digital content downloaded over a network is introduced. If a content item consists of a lot of preliminarily defined attributes, then content refinement can be executed by collecting a number of partly unreliable releases of the same content item from different information sources. In the refinement process, each release of the content item is divided into attributes of signifieds or signifié and weighted majority voting is applied to determine the most probable signifier or significant of the attributes. In addition, results of a simple experiment are presented to show the advantages of content refinement.
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- 1.
In other words, sign or signe.
References
Bowman, C.M., Danzing, P.B., Manber, U., Schwartz, M.F.: Scalable internet resource discovery: research problems and approaches. Commun. ACM 37(8), 98–107 (1994)
Gil, Y., Ratnakar, V.: Trusting information sources one citizen at a time. In: Proceedings of the 1st International Semantic Web Conference, June 2002
Takehara, M., Nakajima, S., Sumiya, K., Tanaka, K.: A Trust value calculation method for web searching based on blogs (in Japanese). DBSJ Letters 3(1), 101–104 (2004)
Kato, Y., Kurohashi, S., Emoto, H.: Credibility of information content: concepts and evaluation technology. (in Japanese), JSAI Technical Report, SIG-SWO-A602-01, November 2006
Alag, S.: Collective Intelligence in Action. Manning Publications, New York (2008)
Sugawara, S., Sonehara, N.: An efficient information retrieval from plural independent databases partially unreliable. In: Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications, EuroMSA 2007, pp. 148–153 (2007)
Acknowledgement
This work was partially supported by JSPS KAKENHI Grant Number JP17K00134.
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Sugawara, S. (2020). Digital Content Refinement by Collecting Partly Unreliable Attributes over a Network. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_26
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DOI: https://doi.org/10.1007/978-3-030-33506-9_26
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