An ontology clarification tool for word sense disambiguation

Author

Kulkarni, Manasi ; Sane, Suneeta

Author_Institution

Comput. Eng. Dept., V.J.T.I., Mumbai, India

Volume

1

fYear

2011

fDate

8-10 April 2011

Firstpage

292

Lastpage

296

Abstract

This paper presents a method for word sense disambiguation based on Lesk algorithm which uses lexical database WordNet as knowledge base. The word sense disambiguation is the process of automatically clarifying a meaning of a word in its context. In general, ontology means the meaning or analogous term. It can be interpreted by relating the word with other words in the sentence. This tool accepts English statement as input and gives best possible meaning of given word. Method is experimented with senseval-2 test data for lexical sample task. The results show the betterment over the original Lesk algorithm.

Keywords

natural language processing; ontologies (artificial intelligence); English statement; Lesk algorithm; WordNet lexical database; ontology clarification tool; word sense disambiguation; Context; Databases; Java; Natural language processing; Ontologies; Semantics; Speech; Word Sense Disambiguation; context window; lexical sample task; ontology; polysemy; semantic relatedness; semantic similarity; synset; target term;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Computer Technology (ICECT), 2011 3rd International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4244-8678-6

Electronic_ISBN

978-1-4244-8679-3

Type

conf

DOI

10.1109/ICECTECH.2011.5941608

Filename

5941608