An ontology for representing financial headline news

Authors:
Sehl Mellouli;Faouzi Bouslama;Aichath Akande
Affiliations:
Management Information Systems Department, Universite Laval, Quebec, Canada;Management Information Systems Department, Universite Laval, Quebec, Canada;Management Information Systems Department, Universite Laval, Quebec, Canada
Venue:
Web Semantics: Science, Services and Agents on the World Wide Web
Year:
2010

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Abstract

This paper presents the development of an ontology to represent financial headline news. This ontology is developed using the On-To-Knowledge methodology where the focus is on the design steps of the Knowledge Meta Process. This development is part of an ongoing project which aims to design a virtual stock market simulator based on multi-agent systems. The proposed ontology has 31 concepts and includes 201 attributes. The testing results conducted on reliable headline news show that 99% of these headline news can be properly represented by the attributes of the right category in the ontology. Unreliable headline news characterized by news having uncertainties, incompleteness, ill-definition, or imprecision cannot be represented by the proposed ontology. Approaches for representing these unreliable headline news are discussed.