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