A survey on ontology matching techniques

Author

Kumar, Sudhakar ; Singh, V. ; Saini, Balwinder

Author_Institution

Nat. Inst. of Technol., Kurukshetra, India

fYear

2014

fDate

26-28 Sept. 2014

Firstpage

13

Lastpage

15

Abstract

Words, sentences, paragraphs and documents is an important component in the data mining application area such as information retrieval, text summarization etc. And finding the similarity value between these components is an important action. Nowaday, there are various matching techniques are present which are very helpful for finding the similarity between the ontology. In this survey paper discusses the existing works on similarity (On text, words etc.) using element-level techniques and structure level techniques.

Keywords

data mining; ontologies (artificial intelligence); pattern matching; data mining application area; element-level technique; information retrieval; matching techniques; ontology matching technique; similarity value; structure level technique; text summarization; Conferences; Hamming distance; Information retrieval; Natural language processing; Ontologies; Semantics; Transforms; Element-Level techniques; Similarity; String-Based similarity; Structure-Level techniques;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Communication Technology (ICCCT), 2014 International Conference on

Conference_Location

Allahabad

Print_ISBN

978-1-4799-6757-5

Type

conf

DOI

10.1109/ICCCT.2014.7001462

Filename

7001462