Capturing the Semantics of Online News Sources for Business Intelligence Applications

Author

Yeh, Peter Z. ; Kass, Alex

Author_Institution

Accenture Technol. Labs., San Fernando, CA

Volume

1

fYear

2008

fDate

3-5 Nov. 2008

Firstpage

111

Lastpage

117

Abstract

In this paper, we present a knowledge based approach to capture rich semantic representations from online news sources for business intelligence (BI) applications that know the representations of interest in advance. Our approach performs this task by generating phrases from these representations and matching these phrases against the news using a set of syntactic and semantic transformations. The representation that best matches a piece of news is selected as its meaning. We present two evaluations showing how our approach performs well on capturing the semantics of online new sources for BI applications.

Keywords

competitive intelligence; knowledge representation; business intelligence; knowledge based approach; online news sources; semantic representations; Artificial intelligence; Bismuth; Character generation; Companies; Contracts; Engines; Explosives; Monitoring; Natural languages; Performance evaluation; Knowledge Based Systems; Natural Language Understanding; Ontology; Web Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on

Conference_Location

Dayton, OH

ISSN

1082-3409

Print_ISBN

978-0-7695-3440-4

Type

conf

DOI

10.1109/ICTAI.2008.65

Filename

4669678