Paper Info
Title
APPLYING SEMANTIC TECHNOLOGY TO BUSINESS NEWS ANALYSIS
Abstract
This article addresses business news analysis by using artificial intelligence. An interdisciplinary method combining financial textual data mining and ontology-based reasoning is proposed and evaluated. The experiments are performed using a well-known Cyc ontology and textual material from the financial domain. Our experiments show that using semantic technologies for business news analysis helps to provide the user with more relevant answers to his/her queries.
Year
DOI
Venue
2013
10.1080/08839514.2013.805600
Applied Artificial Intelligence
Keywords
Field
DocType
artificial intelligence,article addresses business news,interdisciplinary method,financial domain,applying semantic technology,ontology-based reasoning,textual material,business news analysis,semantic technology,financial textual data mining,relevant answer
Ontology,Data mining,World Wide Web,Semantic technology,Information retrieval,Computer science,News analytics
Journal
Volume
Issue
ISSN
27
6
0883-9514
Citations 
PageRank 
References 
0
0.34
27
Authors
2
Name
Order
Citations
PageRank
inna novalija1163.08
Dunja Mladenic21484170.14