Improving Semantic Queries by Utilizing UNL Ontology and a Graph Database

Author

Kivikangas, Petri ; Ishizuka, Mitsuru

Author_Institution

Dept. of Creative Inf., Univ. of Tokyo, Tokyo, Japan

fYear

2012

fDate

19-21 Sept. 2012

Firstpage

83

Lastpage

86

Abstract

This paper describes an approach for improving semantic queries by utilizing Universal Words (UWs) and a graph database. Concept Description Language (CDL) is used for representing the semantic data, and Neo4j graph database is used as the storage back-end. Cypher graph query language is used as the basis for implementing the semantic queries. For improving the queries, query expansion is performed by utilizing semantic relationships between UWs, provided by UNL Ontology.

Keywords

database management systems; graph theory; knowledge representation languages; query processing; specification languages; CDL; Neo4j graph database; UNL ontology; UW; concept description language; cypher graph query language; query expansion; semantic data representation; semantic queries; universal words; Indexes; Natural languages; Ontologies; Search engines; Semantics; CDL; CWL; Cypher; Neo4j; UNL; graph database; inexact graph matching; semantic computing; semantic search; semantic web;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantic Computing (ICSC), 2012 IEEE Sixth International Conference on

Conference_Location

Palermo

Print_ISBN

978-1-4673-4433-3

Type

conf

DOI

10.1109/ICSC.2012.50

Filename

6337087