Paper Info
Title
IDSIS: Intelligent Document Semantic Indexing System
Abstract
With rapid growth of the Internet, how to get information from this huge information space becomes an even important problem. In this paper, An Intelligence Document Semantic Indexing System : IDSIS is proposed. Some new technologies are integrated in IDSIS to obtain good performance. IDSIS is composed of four key procedures. A parallel, distributed and configurable Spider is used for information gathering; A multi-hierarchy document classification approach combining the information gain initially processes gathered web documents; A swarm intelligence based document clustering method is used for information organization; A concept-based retrieval interface is applied for user interactive retrieval. IDSIS is a concept-associated document semantic indexing system
Year
DOI
Venue
2002
10.1007/978-0-387-35602-0_33
Intelligent Information Processing
Keywords
Field
DocType
document clustering,for information retrieval on internet. keywords: document classification,concept space,semantic indexing,intelligent document semantic indexing,information gain,information retrieval,swarm intelligence
Document classification,World Wide Web,Web intelligence,Human–computer information retrieval,Information retrieval,Document clustering,Computer science,Relevance (information retrieval),Vector space model,Document retrieval,Concept search
Conference
ISBN
Citations 
PageRank 
1-4020-7171-X
0
0.34
References 
Authors
5
6
Name
Order
Citations
PageRank
Zhongzhi Shi12440238.03
Bin Wu200.34
Qing He375480.58
Xiujun Gong453.22
Liu Shaohui501.01
Yi Zheng601.01