Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Experiments of collecting WWW information using distributed WWW robots
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Scaling question answering to the Web
Proceedings of the 10th international conference on World Wide Web
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Japanese named entity extraction evaluation: analysis of results
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
A Network Analysis Model for Disambiguation of Names in Lists
Computational & Mathematical Organization Theory
POLYPHONET: an advanced social network extraction system from the web
Proceedings of the 15th international conference on World Wide Web
Context-Aware Middleware for Anytime, Anywhere Social Networks
IEEE Intelligent Systems
POLYPHONET: An advanced social network extraction system from the Web
Web Semantics: Science, Services and Agents on the World Wide Web
Generating extensional definitions of concepts from ostensive definitions by using web
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Social network mining based on improved vector space model
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Using Web-Mining for Academic Measurement and Scholar Recommendation in Expert Finding System
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Extracting relations in social networks from the web using similarity between collective contexts
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Evaluation of using human relationships on the web as information navigation paths
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
A method of extraction and visualisation for relationships among objects on web
International Journal of Intelligent Systems Technologies and Applications
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Today's web is so huge and diverse that it arguably reflects the real world. For this reason, searching the web is a promising approach to find things in the real world. This paper presents NEXAS, an extension to web search engines that attempts to find real-worldentities relevant to a topic. Its basic idea is to extract proper names from the web pages retrieved for the topic. A main advantage of this approach is that users can query any topic and learn about relevant real-world entities without dedicated databases for the topic. In particular, we focus on an application for finding authoritative people from the web. This application is practically important because once personal names are obtained, they can lead users from the web to managed information stored in digital libraries. To explore effective ways of finding people, we first examine the distribution of Japanese personal names by analyzing about 50 million Japanese web pages. We observe that personal names appear frequently on the web, but the distribution is highly influenced by automatically generated texts. To remedy the bias and find widely acknowledged people accurately, we utilize the number of web servers containing a name instead of the number of web pages. We show its effectiveness by an experiment covering a wide range oftopics. Finally, we demonstrate several examples and suggest possible applications.