DocumentCode
2731946
Title
Text Mining through Entity-Relationship Based Information Extraction
Author
Dey, Lipika ; Abulaish, Muhammad ; Jahiruddin ; Sharma, Gaurav
Author_Institution
New Delhi, Delhi
fYear
2007
fDate
5-12 Nov. 2007
Firstpage
177
Lastpage
180
Abstract
In this paper we describe an information extraction and text mining system which identifies key information components from text documents. The information components are centered on domain entities and their relationships. The components mined from a repository are chained using an n-gram-based algorithm. The information chains provide a comprehensive view of the collection and can be also used for inferential reasoning.
Keywords
entity-relationship modelling; inference mechanisms; information retrieval; text analysis; entity-relationship; inferential reasoning; information chains; information extraction; n-gram-based algorithm; text mining; Data mining; Data visualization; Inference algorithms; Information analysis; Intelligent agent; Mathematics; Navigation; Proteins; Speech analysis; Text mining; Information extractionVisualizationText miningKnowledge discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on
Conference_Location
Silicon Valley, CA
Print_ISBN
0-7695-3028-1
Type
conf
DOI
10.1109/WI-IATW.2007.75
Filename
4427566
Link To Document