Improving semantic queries by utilizing UNL ontology and a graph database

Petri Kivikangas, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012
Pages83-86
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event6th IEEE International Conference on Semantic Computing, ICSC 2012 - Palermo
Duration: 2012 Sep 192012 Sep 21

Other

Other6th IEEE International Conference on Semantic Computing, ICSC 2012
CityPalermo
Period12/9/1912/9/21

Keywords

  • CDL
  • CWL
  • Cypher
  • graph database
  • inexact graph matching
  • Neo4j
  • semantic computing
  • semantic search
  • semantic web
  • UNL

ASJC Scopus subject areas

  • Software

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  • Cite this

    Kivikangas, P., & Ishizuka, M. (2012). Improving semantic queries by utilizing UNL ontology and a graph database. In Proceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012 (pp. 83-86). [6337087] https://doi.org/10.1109/ICSC.2012.50