A New Framework To Extract Knowledge By Text Mining Tools

Domenico CONSOLI

Article Details

A New Framework To Extract Knowledge By Text Mining Tools

Authors:

Domenico CONSOLI

Publisher:

İbrahim Güran YUMUŞAK

Journal:

Journal of Knowlede Economy and Knowledge Management 2010 Vol.5 Issue 2, pp.165-177

Document Type:

Article

Publication Date:

11/2010

Document Language:

Turkish

Document ID (Org No.):

2000893928

Frequency:

Bi-Annual

eISSN:

1308-3937

Keywords:

Abstract:

 

Nowadays, enterprises are invaded from a large amount of unstructured information in textual documents, web-pages, e-mails, chats, forums, blogs. In recent years the number of documents available in electronic form, has grown almost exponentially. Therefore it's important use a technological platform to extract and manage useful knowledge for business goals. The goal of the knowledge management is to provide, in all corporate levels, in the right format, the right information at the right time. The aim of this paper is the presentation of a new framework to manage unstructured knowledge by text mining technology. With text mining tools, we can obtain high performances and discover interesting hidden relationships among business data. Text mining technology uses semantic engine and artificial intelligence algorithms to mine, extract and classify the knowledge. The knowledge extracted is useful for Business Intelligence tools used from top manager in the strategic planning.

 

Nowadays, enterprises are invaded from a large amount of unstructured information in textual documents, web-pages, e-mails, chats, forums, blogs. In recent years the number of documents available in electronic form, has grown almost exponentially. Therefore it's important use a technological platform to extract and manage useful knowledge for business goals. The goal of the knowledge management is to provide, in all corporate levels, in the right format, the right information at the right time. The aim of this paper is the presentation of a new framework to manage unstructured knowledge by text mining technology. With text mining tools, we can obtain high performances and discover interesting hidden relationships among business data. Text mining technology uses semantic engine and artificial intelligence algorithms to mine, extract and classify the knowledge. The knowledge extracted is useful for Business Intelligence tools used from top manager in the strategic planning.

Article Details

A New Framework To Extract Knowledge By Text Mining Tools

Authors: Domenico CONSOLI

Publisher: İbrahim Güran YUMUŞAK

Journal: Journal of Knowlede Economy and Knowledge Management 2010 Vol.5 Issue 2, pp.165-177

Document Type: Article

Publication Date: 11/2010

Document Language: Turkish

Document ID (Org No.): 2000893928

Frequency: Bi-Annual

eISSN: 1308-3937

Text Mining

Knowledge Management

Management

Issues

Authors:

Domenico CONSOLI

Publisher:

İbrahim Güran YUMUŞAK

Journal:

Journal of Knowlede Economy and Knowledge Management 2010 Vol.5 Issue 2, pp.165-177

Document Type:

Article

Publication Date:

11/2010

Document Language:

Turkish

Document ID (Org No.):

2000893928

Frequency:

Bi-Annual

eISSN:

1308-3937