Reusing Semantic Web Data in Authoring Wikipedia

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Reusing Semantic Web Data in Authoring Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Cheuk Yin Yau.

Overview

This thesis presents research conducted at the University of Warwick in improving Web 2.0 (or Social Web) authoring, by semi-adaptively recommending data via Information Retrieval methods. Thus this research integrates two main areas, Semantic Web and Information Retrieval. The research has led to a tool for retrieving semantic web data and reusing the retrieved data in authoring Wikipedia pages. The goal of this tool is firstly to enable semantic web crawling with a user friendly interface, by applying a semantic web framework API to an existing web archiving system and, secondly, to find an easy way for reusing the data in authoring, by implementing a delivery engine for the retrieved data. To demonstrate this new tool, this thesis presents example scenarios for retrieving semantic data from a specified domain and utilizing the drag and drop method in authoring. The presented paradigm is evaluated via two case studies, following the two versions of the prototype, and future work is discussed.

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