Title
Exna: An Efficient Search Pattern For Search Engines
Abstract
As the Web enters Big Data age, users and search engines may find it more and more difficult to effectively use and manage such big data. To solve this problem, this paper presents a novel search pattern named ExNa by defining its model and basic operations in detail, which can help to design new type of search engines. To validate the ExNa search pattern, we develop a prototype news search engine named KNOWLE, which shows that KNOWLE equipped with ExNa can improve the efficiency of search system.
Year
DOI
Venue
2014
10.1007/978-3-319-08010-9_74
WEB-AGE INFORMATION MANAGEMENT, WAIM 2014
Keywords
Field
DocType
Search pattern, Index structure, Interaction process, User profile
Data mining,Search engine,User profile,Semantic search,Information retrieval,Computer science,Search engine indexing,Beam search,Search analytics,Big data
Conference
Volume
ISSN
Citations 
8485
0302-9743
1
PageRank 
References 
Authors
0.36
1
4
Name
Order
Citations
PageRank
Xiao Wei1645.96
Xiangfeng Luo21251124.38
Qing Li33222433.87
Jun Zhang4183.80