Ontology Design for Online News Analysis

Author

Hu, Biyun ; Wang, Jun ; Zhou, Yiming

Author_Institution

Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China

Volume

4

fYear

2009

fDate

19-21 May 2009

Firstpage

202

Lastpage

206

Abstract

News reporting events without peoplepsilas review is usually very short, so vector space model (VSM) used for representing long text-based documents is not suitable for describing news. In addition, VSM can not represent basic questions in news: who, what, when, where. A new kind of text model is needed to manipulate news. In this paper, a news ontology incorporating some metadata in OpenCyc,EventsML-G2, NewsML-G2, and news industry text format (NITF) is designed at first. What is more important is that relations in news domain are also described in the ontology. A model for news analysis is then proposed. The process of news analysis is analyzed from three main aspects: instancing, reasoning, and finding similar events. The results indicate that the main benefit of the news ontology is its ability to describe news, reason about news, and deal with the whole process of news analysis.

Keywords

meta data; ontologies (artificial intelligence); text analysis; EventsML-G2; NITF; NewsML-G2; OpenCyc; metadata; news industry text format; news reporting event; online news analysis; ontology design; text model; text-based document; Artificial intelligence; Computer science; Databases; Design engineering; Functional analysis; Industrial relations; Intelligent systems; Knowledge representation; Logic; Ontologies; events; news analysis; ontology design; ontology reasoning;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.78

Filename

5209304