@inproceedings{e4a29d6921994d7dbf9393565c03d837,
title = "Knowledge discovery from academic search engine",
abstract = "The purpose of a search engine is to retrieve information relevant to a user's query from a big textual collection. However, most vertical search engines, such as Google Scholar and Citeseer, only return the flat ranked list without an efficient result exhibition and knowledge arrangement for given users. This paper considers the problem of knowledge discovery in the literature of search computing. We design some search and ranking strategies to mining potential knowledge from returned search results. A vertical search engine prototype, called Dolphin, is implemented where users are not only getting the results from search engine, but also the knowledge relevant to given query. Experiments show the effectiveness of our approach.",
keywords = "Academic Search, Clustering, Knowledge discovery, Ranking, Vertical Search engine",
author = "Ye Wang and Miao Jiang and Xiaoling Wang and Aoying Zhou",
year = "2009",
doi = "10.1007/978-3-642-10488-6\_18",
language = "英语",
isbn = "3642104878",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "158--167",
booktitle = "Knowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings",
note = "3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009 ; Conference date: 25-11-2009 Through 27-11-2009",
}