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Wiki-Dic 2.0: An e-Voting Approach to Exploit User-Generated Content

Wiki-Dic 2.0: An e-Voting Approach to Exploit User-Generated Content

Tryfon L. Theodorou, George E. Violettas, Christos K. Georgiadis
Copyright: © 2011 |Pages: 14
ISBN13: 9781616920166|ISBN10: 1616920165|ISBN13 Softcover: 9781616923785|EISBN13: 9781616920173
DOI: 10.4018/978-1-61692-016-6.ch011
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MLA

Theodorou, Tryfon L., et al. "Wiki-Dic 2.0: An e-Voting Approach to Exploit User-Generated Content." E-Strategies for Resource Management Systems: Planning and Implementation, edited by Eshaa Alkhalifa, IGI Global, 2011, pp. 185-198. https://doi.org/10.4018/978-1-61692-016-6.ch011

APA

Theodorou, T. L., Violettas, G. E., & Georgiadis, C. K. (2011). Wiki-Dic 2.0: An e-Voting Approach to Exploit User-Generated Content. In E. Alkhalifa (Ed.), E-Strategies for Resource Management Systems: Planning and Implementation (pp. 185-198). IGI Global. https://doi.org/10.4018/978-1-61692-016-6.ch011

Chicago

Theodorou, Tryfon L., George E. Violettas, and Christos K. Georgiadis. "Wiki-Dic 2.0: An e-Voting Approach to Exploit User-Generated Content." In E-Strategies for Resource Management Systems: Planning and Implementation, edited by Eshaa Alkhalifa, 185-198. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-016-6.ch011

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Abstract

We may define e-voting as the process of evaluating an article or ranking a translation of a specific scientific term in a relevant web site. This all process of participation and interaction is one of the Web 2.0 definitions, the collaborative knowledge. On-line dictionaries have to consider this factor in order to succeed. They have to be interactive and they have to attract and support the users’ participation and contribution. In the proposed e-dictionary, namely “Wiki-Dic”, some experts begin a dictionary, they start filling it with words and translations, and all users are allowed not only to look for the translation, but also to vote for it. The most voted translations go to the top. In addition, appropriate security countermeasures are used to deal efficiently with the “one vote per person” problem and to avoid malicious software. Furthermore, an intelligent algorithm that is giving weights to the voters is implemented. In this way, the weights are computed automatically from our application, based on quantitative and qualitative information as well.

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