Supporting The Subject-oriented Exploratory Search Process In Wikipedia: Extended Evaluation Measures

碩士 === 輔仁大學 === 資訊管理學系 === 100 === With the spread of Internet, the World Wide Web (WWW) is presently the main source of information and knowledge. Wikipedia is one of the world’s largest collaboratively edited sources of encyclopedic knowledge. Due to the popularity of link-based application such a...

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Bibliographic Details
Main Authors: Tsai, An-Ting, 蔡安婷
Other Authors: Wu, I-Chin
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/77072122861013044413
Description
Summary:碩士 === 輔仁大學 === 資訊管理學系 === 100 === With the spread of Internet, the World Wide Web (WWW) is presently the main source of information and knowledge. Wikipedia is one of the world’s largest collaboratively edited sources of encyclopedic knowledge. Due to the popularity of link-based application such as Wikipedia, one of the most important issues in web search is how to retrieve information effectively. In this work, we attempted to analyze the internal links in Wikipedia to develop the topic network for users, and to help them find more related information for a subject or a topic. We extended our previous application WikiMap by integrating the search function with the query expansion technique to have aggregated searches. To assess its effectiveness, we conducted a task-oriented evaluation study with 25 subjects who were asked to execute several search tasks on three interfaces: the traditional Wikipedia interface, the WikiMap interface and the proposed WikiMap+ interface. We proposed a refined extended task-based evaluation measure to understand how each system may provide useful context for users to accomplish the tasks and attain the search goals. That is, we incorporated a user behavior tracking mechanism to capture, record, and analyze users’ information search behavior patterns. The evaluation results showed that with the aid of term suggestion and search functions on the WikiMap+ interface, users can search for more resources from the internet, and filter out more relevant pages to fulfill their needs. In addition, they can also use the suggested terms to revise queries.