Title :
Ontology Design for Online News Analysis
Author :
Hu, Biyun ; Wang, Jun ; Zhou, Yiming
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
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;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.78
