Mining knowledge from text repositories using information extraction: A review

There are two approaches to mining text form online repositories. First, when the knowledge to be discovered is expressed directly in the documents to be mined, Information Extraction (IE) alone can serve as an effective tool for such text mining. Second, when the documents contain concrete data in...

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Bibliographic Details
Published inSadhana (Bangalore) Vol. 39; no. 1; pp. 53 - 62
Main Authors SIRSAT, SANDEEP R, CHAVAN, DR VINAY, DESHPANDE, DR SHRINIVAS P
Format Journal Article
LanguageEnglish
Published India Springer India 01.02.2014
Subjects
Data mining
Engineering
Information retrieval
Repositories
State of the art
Texts
Unstructured data
text mining
knowledge discovery from database (KDD)
text repositories
Information extraction (IE)
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Summary:There are two approaches to mining text form online repositories. First, when the knowledge to be discovered is expressed directly in the documents to be mined, Information Extraction (IE) alone can serve as an effective tool for such text mining. Second, when the documents contain concrete data in unstructured form rather than abstract knowledge, Information Extraction (IE) can be used to first transform the unstructured data in the document corpus into a structured database, and then use some state-of-the-art data mining algorithms/tools to identify abstract patterns in this extracted data. This paper presents the review of several methods related to these two approaches.
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ISSN:0256-2499
0973-7677
DOI:10.1007/s12046-013-0197-2