Title :
Text Mining through Entity-Relationship Based Information Extraction
Author :
Dey, Lipika ; Abulaish, Muhammad ; Jahiruddin ; Sharma, Gaurav
Author_Institution :
New Delhi, Delhi
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;
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
DOI :
10.1109/WI-IATW.2007.75
