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Reseach Article

A Method for Constructing Knowledgebase from Data in Emails using Clustering

Published on December 2013 by Chellammal Surianarayanan, Gopinath Ganapathy
International Conference on Computing and information Technology 2013
Foundation of Computer Science USA
IC2IT - Number 1
December 2013
Authors: Chellammal Surianarayanan, Gopinath Ganapathy
15cb29a5-3ad4-4239-af4a-ab7b90b225e8

Chellammal Surianarayanan, Gopinath Ganapathy . A Method for Constructing Knowledgebase from Data in Emails using Clustering. International Conference on Computing and information Technology 2013. IC2IT, 1 (December 2013), 5-7.

@article{
author = { Chellammal Surianarayanan, Gopinath Ganapathy },
title = { A Method for Constructing Knowledgebase from Data in Emails using Clustering },
journal = { International Conference on Computing and information Technology 2013 },
issue_date = { December 2013 },
volume = { IC2IT },
number = { 1 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 5-7 },
numpages = 3,
url = { /proceedings/ic2it/number1/14384-1303/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and information Technology 2013
%A Chellammal Surianarayanan
%A Gopinath Ganapathy
%T A Method for Constructing Knowledgebase from Data in Emails using Clustering
%J International Conference on Computing and information Technology 2013
%@ 0975-8887
%V IC2IT
%N 1
%P 5-7
%D 2013
%I International Journal of Computer Applications
Abstract

Email is one of the most important mode of communication among various members involved in development of software. More specifically the knowledge in emails is very useful to developers who will be involved in the development of different modules as well as fixing bugs in various modules. As software developers tend to switch over different corporate, providing knowledge to new developers is really tough. As email is the chief medium of interaction among members of project, all important information will naturally be available in emails but in an unorganized form. In this work, an approach is proposed to construct knowledgebase using the contents of emails. It is proposed to use K-Means clustering to categorize the information. Here the value K will be number of different projects handled by the concern. The paper describes the need for knowledgebase from emails, related work, proposed methods and its benefits. At present efforts are towards implementing the method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Knowledgebase From Emails Clustering Of Email Data Email Categorization