An inference based query engine for RDF data

Mamdouh Farouk, Mitsuru Ishizuka

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

Abstract

Since the start of linked data project, more and more people publish their data in the linked data cloud as RDF data. Searching RDF data is important to exploit this massive amount of well-represented data. Finding implicit data is one challenge in searching RDF data. This work proposes an inference-based engine for SPARQL queries. Using inference our engine can answer some queries that cannot be answered by the normal SPARQL engines. The proposed engine expands the user query using the set predefined rules. The prototype for the proposed approach shows the effectiveness of adding inference to SPARQL engine.

Original languageEnglish
Title of host publicationProceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12
Pages331-334
Number of pages4
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12 - Kuala Lumpur
Duration: 2012 Mar 132012 Mar 15

Other

Other2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12
CityKuala Lumpur
Period12/3/1312/3/15

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Keywords

  • inference
  • SAPRQL query
  • search RDF

ASJC Scopus subject areas

  • Information Systems

Cite this

Farouk, M., & Ishizuka, M. (2012). An inference based query engine for RDF data. In Proceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12 (pp. 331-334). [6205001] https://doi.org/10.1109/InfRKM.2012.6205001