DocumentCode :
2419981
Title :
The Optimization in News Search Engine Using Formal Concept Analysis
Author :
Liu, Yan ; Wang, Qingxian ; Guo, Lei ; Yao, Qing ; Lv, Nan ; Wang, Qiang
Author_Institution :
Inf. Eng. Univ., Lahore
Volume :
2
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
45
Lastpage :
49
Abstract :
Being faced with the huge amount and rapid renewal of the news data, how to help users to obtain the news content they need rapidly, and how to use the resource of news information effectively, both come to the present problems. formal concept analysis(FCA) arose as a mathematical theory for the formalization of the concept of \´concept\´ and has more advantages in concept description and relation measurement than binary-relationship such as database. The technique of using FCA to optimize the personal news search engine is proposed in this paper, including users\´ query background construction using FCA , query keywords optimization based on users\´ background and the new layout strategy of search result based on "Concept Tree".
Keywords :
information resources; query formulation; search engines; Concept Tree; formal concept analysis; mathematical theory; news content; news data; news information; personal news search engine; query background construction; query keywords optimization; Art; Data engineering; Data mining; Data visualization; Databases; Information analysis; Information retrieval; Lattices; Search engines; TV broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.578
Filename :
4406043
Link To Document :
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