Tourism domain ontology construction from the unstructured text documents

Author

Tang, Suqin ; Cai, Zixing

Author_Institution

Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China

fYear

2010

fDate

7-9 July 2010

Firstpage

297

Lastpage

301

Abstract

Ontologies is playing an increasingly important role in knowledge management and the Semantic Web. The tourism information ontology is becoming a core research field in the realm of information retrieval. An ontology construction method based on Formal Concept Analysis (FCA) to extract domain ontology from unstructured text documents is proposed. Under the framework of our ontology construction method, the knowledge engineers could reach a new ontology of tourism information that was demonstrated as useful to support their ontology construction tasks.

Keywords

data analysis; information retrieval; ontologies (artificial intelligence); semantic Web; text analysis; travel industry; formal concept analysis; information retrieval; knowledge management; semantic Web; tourism domain ontology construction; tourism information ontology; unstructured text documents; Conferences; Context; Knowledge based systems; Ontologies; Pragmatics; Semantics; format concept analysis; ontology construction; tourism information; unstructured text documents;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-8041-8

Type

conf

DOI

10.1109/COGINF.2010.5599723

Filename

5599723