An inference based query engine for RDF data

Mamdouh Farouk; Mitsuru Ishizuka

doi:10.1109/InfRKM.2012.6205001

An inference based query engine for RDF data

Mamdouh Farouk^*, Mitsuru Ishizuka

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12
Pages	331-334
Number of pages	4
DOIs	https://doi.org/10.1109/InfRKM.2012.6205001
Publication status	Published - 2012
Externally published	Yes
Event	2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12 - Kuala Lumpur Duration: 2012 Mar 13 → 2012 Mar 15

Other

Other	2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12
City	Kuala Lumpur
Period	12/3/13 → 12/3/15

Keywords

inference
SAPRQL query
search RDF

ASJC Scopus subject areas

Information Systems

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10.1109/InfRKM.2012.6205001

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title = "An inference based query engine for RDF data",

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.",

keywords = "inference, SAPRQL query, search RDF",

author = "Mamdouh Farouk and Mitsuru Ishizuka",

year = "2012",

doi = "10.1109/InfRKM.2012.6205001",

language = "English",

isbn = "9781467310901",

pages = "331--334",

booktitle = "Proceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12",

note = "2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12 ; Conference date: 13-03-2012 Through 15-03-2012",

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TY - GEN

T1 - An inference based query engine for RDF data

AU - Farouk, Mamdouh

AU - Ishizuka, Mitsuru

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - inference

KW - SAPRQL query

KW - search RDF

UR - http://www.scopus.com/inward/record.url?scp=84863104047&partnerID=8YFLogxK

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U2 - 10.1109/InfRKM.2012.6205001

DO - 10.1109/InfRKM.2012.6205001

M3 - Conference contribution

AN - SCOPUS:84863104047

SN - 9781467310901

SP - 331

EP - 334

BT - Proceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12

T2 - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12

Y2 - 13 March 2012 through 15 March 2012

ER -

An inference based query engine for RDF data

Abstract

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Keywords

ASJC Scopus subject areas

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