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Efficient semi-automated assessment of annotation trustworthiness
- Journal of Trust Management
"... Abstract-Cultural heritage institutions and multimedia archives often delegate the task of annotating their collections of artifacts to Web users. The use of crowdsourced annotations from the Web gives rise to trust issues. We propose an algorithm that, by making use of a combination of subjective ..."
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Abstract-Cultural heritage institutions and multimedia archives often delegate the task of annotating their collections of artifacts to Web users. The use of crowdsourced annotations from the Web gives rise to trust issues. We propose an algorithm that, by making use of a combination of subjective logic, semantic relatedness measures and clustering, automates the process of evaluation for annotations represented by means of the Open Annotation ontology. The algorithm is evaluated over two different datasets coming from the cultural heritage domain.
Tell me more: An actionable quality model for wikipedia
- In: Proceedings of the 9th International Symposium on Open Collaboration
"... In this paper we address the problem of developing action-able quality models for Wikipedia, models whose features di-rectly suggest strategies for improving the quality of a given article. We first survey the literature in order to understand the notion of article quality in the context of Wikipedi ..."
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In this paper we address the problem of developing action-able quality models for Wikipedia, models whose features di-rectly suggest strategies for improving the quality of a given article. We first survey the literature in order to understand the notion of article quality in the context of Wikipedia and existing approaches to automatically assess article quality. We then develop classification models with varying combi-nations of more or less actionable features, and find that a model that only contains clearly actionable features deliv-ers solid performance. Lastly we discuss the implications of these results in terms of how they can help improve the quality of articles across Wikipedia. Categories and Subject Descriptors H.5 [Information Interfaces and Presentation]: Group and Organization Interfaces—Collaborative computing,
Wikipedia vs. Academia: An Investigation into the Role of the Internet in Education, with a Special Focus on Wikipedia
, 2016
"... Abstract This paper addresses the issue in a rather hands-on and down-to-earth approach that will allow us to draw some interesting conclusions about the role of open Internet knowledge (such as that which can be found on Wikipedia) for learning and knowledge creation. We will be placing a special ..."
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Abstract This paper addresses the issue in a rather hands-on and down-to-earth approach that will allow us to draw some interesting conclusions about the role of open Internet knowledge (such as that which can be found on Wikipedia) for learning and knowledge creation. We will be placing a special focus on academia: for instance, how should universities of applied sciences define "competency based learning" at a time when so many answers can be readily found on Wikipedia? Here the paper does not strive to come to generalized conclusions, but it does strive to find some modest, surprising and -last but not least -also practical answers. The current paper is based on library research, an online analysis of the current Wikipedia website, and interviews with Swiss Wikipedia activists.
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"... Contrôle de version incertaine dans l’édition collaborative ouverte de documents arborescents ..."
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Contrôle de version incertaine dans l’édition collaborative ouverte de documents arborescents
telecom-paristech.fr
"... telecom-paristech.fr In order to ease content enrichment, exchange, and sharing, web-scale collaborative platforms such as Wikipedia or Google Docs enable unbounded interactions between a large number of contributors, without prior knowledge of their level of expertise and reliability. Version contr ..."
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telecom-paristech.fr In order to ease content enrichment, exchange, and sharing, web-scale collaborative platforms such as Wikipedia or Google Docs enable unbounded interactions between a large number of contributors, without prior knowledge of their level of expertise and reliability. Version control is then essential for keeping track of the evolution of the shared content and its provenance. In such environments, uncertainty is ubiquitous due to the unreliability of the sources, the incompleteness and imprecision of the contributions, the possibility of malicious editing and vandalism acts, etc. To handle this uncertainty, we use a probabilistic XML model as abasiccomponentofourversioncontrolframework. Each version of a shared document is represented by an XML tree andthewhole document, together with itsdifferentversions, is modeled as a probabilistic XML document. Uncertainty is evaluated using the probabilistic model and the reliability measure associated to each source, each contributor, or each editing event, resulting in an uncertainty measure on each version and each part of the document. We show that standard version control operations can be implemented directly as operations on the probabilistic XML model; efficiency with respect to deterministic version control systems is demonstrated on real-world datasets.
