DocumentCode :
115292
Title :
Crowd aided Web search
Author :
Chun-Hsiung Tseng
Author_Institution :
Dept. of Inf. Managment, Nanhua Univ., Chiayi, Taiwan
fYear :
2014
fDate :
30-31 Jan. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Keyword-based search algorithms may sometimes yield weird results despite the fact that they usually do their jobs well. Despite of the fact that the Web is the largest database, comparing to relational databases, the set of search operations for the Web is still primitive. This paper proposes two ways to remedy this: first, advanced information sources should be created. The role of advanced information sources of the Web is analogous to views of relational databases. Second, we propose several data processing tools based on the concept of advanced information sources. With these two mechanisms, the researcher tries to distinguish the data-centric view from the presentation view of the Web.
Keywords :
Internet; information resources; relational databases; search engines; advanced information sources; crowd aided Web search; data processing tools; data-centric view; keyword-based search algorithms; presentation view; relational databases; Cognition; Engines; Crowd Intelligence; Crowd Sources; Information Extraction; Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge and Smart Technology (KST), 2014 6th International Conference on
Conference_Location :
Chonburi
Print_ISBN :
978-1-4799-1423-4
Type :
conf
DOI :
10.1109/KST.2014.6775384
Filename :
6775384
Link To Document :
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