The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Managing gigabytes (2nd ed.): compressing and indexing documents and images
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Creating and evaluating multi-document sentence extract summaries
Proceedings of the ninth international conference on Information and knowledge management
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
MetaSpider: meta-searching and categorization on the Web
Journal of the American Society for Information Science and Technology
Evaluating Natural Language Processing Systems: An Analysis and Review
Evaluating Natural Language Processing Systems: An Analysis and Review
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Distribution of content words and phrases in text and language modelling
Natural Language Engineering
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Summary in context: Searching versus browsing
ACM Transactions on Information Systems (TOIS)
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
An information delivery system with automatic summarization for mobile commerce
Decision Support Systems
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Context representation for web search results
Journal of Information Science
Meeting of the MINDS: an information retrieval research agenda
ACM SIGIR Forum
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
The ties that bind: Social network principles in online communities
Decision Support Systems
Predicting user interests from contextual information
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
Density link-based methods for clustering web pages
Decision Support Systems
Proceedings of the third symposium on Information interaction in context
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
Journal of Information Science
Design and implementation of relevance assessments using crowdsourcing
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
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Link-based applications like Wikipedia are becoming increasingly popular because they provide users with an efficient way to find needed knowledge, such as searching for definitions and information about a particular topic, and exploring articles on related topics. This work introduces a semantics-based navigation application called WNavi^s, to facilitate information-seeking activities in internal link-based websites in Wikipedia. WNavi^s is based on the theories and techniques of link mining, semantic relatedness analysis and text summarization. Our goal is to develop an application that helps users find related articles for a seed query (topic) easily and then quickly check the content of articles to explore a new concept or topic in Wikipedia. Technically, we construct a preliminary topic network by analyzing the internal links of Wikipedia and applying the normalized Google distance algorithm to quantify the strength of the semantic relationships between articles via key terms. Because not all the content of articles in Wikipedia is relevant to users' information needs, it is desirable to locate specific information for users and enable them to quickly explore and read topic-related articles. Accordingly, we propose an SNA-based single and multiple-document summarization technique that can extract meaningful sentences from articles. We applied a number of intrinsic and extrinsic evaluation methods to demonstrate the efficacy of the summarization techniques in terms of precision, and recall. The results suggest that the proposed summarization technique is effective. Our findings have implications for the design of a navigation tool that can help users explore related articles in Wikipedia quickly.