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Title: Reusing semantic web data in authoring Wikipedia
Author: Yau, Cheuk Yin
ISNI:       0000 0004 2748 4105
Awarding Body: University of Warwick
Current Institution: University of Warwick
Date of Award: 2011
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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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: QA76 Electronic computers. Computer science. Computer software ; ZA Information resources