Artificial Intelligent Information Retrieval Using Assigning Context of Documents

Author

Liu Yong-min ; Cheng Shu

Author_Institution

Coll. of Vocational Technol., Central South Univ. of Forestry & Technol., ChangSha

Volume

2

fYear

2009

fDate

25-26 April 2009

Firstpage

592

Lastpage

595

Abstract

In this paper, an intelligent information retrieval system prototype based on assigning context to documents is proposed. This system novel prototype has a better retrieval effectiveness than traditional key-word systems. In this intelligent agent paradigm system, each document is assigned context based on the type of information. The prototype system offers a new methodology for assigning context of documents in a collection. This novel intelligent information retrieval system showed promising results.

Keywords

artificial intelligence; document handling; information retrieval; software prototyping; artificial intelligent information retrieval; assigning context; intelligent agent paradigm system; intelligent information retrieval system; key-word systems; retrieval effectiveness; system novel prototype; system prototype; Artificial intelligence; Data mining; Humans; Information retrieval; Information security; Intelligent systems; Ontologies; Prototypes; Search engines; Wireless communication; Artificial Intelligent; Assigning Context of Document; Information Retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-4223-2

Type

conf

DOI

10.1109/NSWCTC.2009.374

Filename

4908538