A reliable linguistic filter for Farsi term extraction

Author

Behin-Faraz, Hossein ; Passban, Peyman ; Shokrollahi-Far, Mahmoud

Author_Institution

Comput. Eng. Dept., Univ. of Guilan, Rasht, Iran

fYear

2013

fDate

28-30 May 2013

Firstpage

328

Lastpage

331

Abstract

Ontology learning has four main successive mining phases: term, concept, relation and axiom extraction. Since term extraction (TE) is the foundation of the ontology learning process, its inaccuracy will propagate in the following layers. Moreover, for any general-purpose ontology system some domain independent term extraction is needed. To achieve domain independent and precise TE in Farsi the present paper has presented a new hybrid system. It is based on the combination of a linguistic filter on Ezafe construction in Farsi and a statistical filter on C-value algorithm.

Keywords

data mining; information filters; natural language processing; ontologies (artificial intelligence); text analysis; C-value algorithm; Ezafe construction; Farsi term extraction; axiom extraction; concept extraction; domain independent term extraction; general-purpose ontology system; hybrid system; mining phases; ontology learning process; relation extraction; reliable linguistic filter; statistical filter; Data mining; Filtering theory; Frequency measurement; Information filters; Ontologies; Pragmatics; C-value; Ezafe construction; Farsi linguistic filter; hybrid term extraction; statistical filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Knowledge Technology (IKT), 2013 5th Conference on

Conference_Location

Shiraz

Print_ISBN

978-1-4673-6489-8

Type

conf

DOI

10.1109/IKT.2013.6620088

Filename

6620088