research-article

OptiqueVQS: towards an ontology-based visual query system for big data

Authors:

Ernesto Jimenez-Ruiz,

Evgeny Kharlamov,

Dmitry Zheleznyakov,

Ian HorrocksAuthors Info & Claims

MEDES '13: Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems

Pages 119 - 126

https://doi.org/10.1145/2536146.2536149

Published: 28 October 2013 Publication History

Abstract

A recent EU project, named Optique, with a strong industrial perspective, strives to enable scalable end-user access to Big Data. To this end, Optique employs an ontology-based approach, along with other techniques such as query optimisation and parallelisation, for scalable query formulation and evaluation. In this paper, we specifically focus on end-user visual query formulation, demonstrate our preliminary ontology-based visual query system (i.e., interface), and discuss initial insights for alleviating the affects of Big Data.

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Cited By

Brahmia SBrahmia ZGrandi FBouaziz R(2024)Management of Implicit Ontology Changes Generated by Non-conservative JSON Instance Updates in the τJOWL EnvironmentAdvances in Information Systems, Artificial Intelligence and Knowledge Management10.1007/978-3-031-51664-1_15(213-226)Online publication date: 20-Jan-2024
https://doi.org/10.1007/978-3-031-51664-1_15
Brahmia ZGrandi FBouaziz R(2022)$\tau\text{JOWL}$: A Systematic Approach to Build and Evolve a Temporal OWL 2 Ontology Based on Temporal JSON Big DataBig Data Mining and Analytics10.26599/BDMA.2021.90200195:4(271-281)Online publication date: Dec-2022
https://doi.org/10.26599/BDMA.2021.9020019
Kahil MBouramoul ADerdour M(2021)GreedyBigVis – A greedy approach for preparing large datasets to multidimensional visualizationInternational Journal of Computers and Applications10.1080/1206212X.2021.192067044:8(760-769)Online publication date: 2-May-2021
https://doi.org/10.1080/1206212X.2021.1920670
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Index Terms

OptiqueVQS: towards an ontology-based visual query system for big data
1. Applied computing
  1. Document management and text processing
    1. Document preparation
      1. Multi / mixed media creation
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Hypertext / hypermedia

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Published In

cover image ACM Other conferences

MEDES '13: Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems

October 2013

358 pages

ISBN:9781450320047

DOI:10.1145/2536146

Conference Chairs:
Latif Ladid
University of Luxembourg Interdisciplinary Center for Security, Luxembourg
,
Antonio Montes
Centro de Tecnologia da Informação Renato Archer, Brazil
,
General Chair:
Peter A. Bruck
Research Studios Austria Forschungsgesellschaft mbH, Austria
,
Program Chairs:
Fernando Ferri
CNR, Italy
,
Richard Chbeir
UPPA University, France

Copyright © 2013 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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LBBC: Luxembourg Brazil Business Council
IPv6 Luxembourg Council: Luxembourg IPv6 Council
Luxembourg Green Business Awards 2013: Luxembourg Green Business Awards 2013
LUXINNOVATION: Agence Nationale pour la Promotion de l Innovation et de la Recherche
Pro Newtech: Pro Newtech
CTI: Centro de Tecnologia da Informação Renato Archer

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 28 October 2013

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Seventh Framework Programme

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MEDES '13

Sponsor:

LBBC
IPv6 Luxembourg Council
Luxembourg Green Business Awards 2013
LUXINNOVATION
Pro Newtech
CTI

MEDES '13: Fifth International Conference on Management of Emergent Digital EcoSystems

October 28 - 31, 2013

Luxembourg, Luxembourg

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MEDES '13 Paper Acceptance Rate 56 of 122 submissions, 46%;

Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

Brahmia SBrahmia ZGrandi FBouaziz R(2024)Management of Implicit Ontology Changes Generated by Non-conservative JSON Instance Updates in the τJOWL EnvironmentAdvances in Information Systems, Artificial Intelligence and Knowledge Management10.1007/978-3-031-51664-1_15(213-226)Online publication date: 20-Jan-2024
https://doi.org/10.1007/978-3-031-51664-1_15
Brahmia ZGrandi FBouaziz R(2022)$\tau\text{JOWL}$: A Systematic Approach to Build and Evolve a Temporal OWL 2 Ontology Based on Temporal JSON Big DataBig Data Mining and Analytics10.26599/BDMA.2021.90200195:4(271-281)Online publication date: Dec-2022
https://doi.org/10.26599/BDMA.2021.9020019
Kahil MBouramoul ADerdour M(2021)GreedyBigVis – A greedy approach for preparing large datasets to multidimensional visualizationInternational Journal of Computers and Applications10.1080/1206212X.2021.192067044:8(760-769)Online publication date: 2-May-2021
https://doi.org/10.1080/1206212X.2021.1920670
Mhammedi SGherabi N(2021)Heterogeneous Integration of Big Data Using Semantic Web TechnologiesIntelligent Systems in Big Data, Semantic Web and Machine Learning10.1007/978-3-030-72588-4_12(167-177)Online publication date: 29-May-2021
https://doi.org/10.1007/978-3-030-72588-4_12
Aloulen ZBelhajjame KGrigori DAcker R(2019)A Domain-Independent Ontology for Capturing Scientific ExperimentsInformation Search, Integration, and Personalization10.1007/978-3-030-30284-9_4(53-68)Online publication date: 24-Aug-2019
https://doi.org/10.1007/978-3-030-30284-9_4
Zviedris M(2018)Readable Diagrammatic Query Language ViziQuerInformation Retrieval and Management10.4018/978-1-5225-5191-1.ch062(1389-1408)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5191-1.ch062
Soylu AKharlamov EZheleznyakov DJimenez-Ruiz EGiese MSkjæveland MHovland DSchlatte RBrandt SLie HHorrocks I(2018)OptiqueVQSSemantic Web10.3233/SW-1802939:5(627-660)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/SW-180293
Ceravolo PAzzini AAngelini MCatarci TCudré-Mauroux PDamiani EMazak AVan Keulen MJarrar MSantucci GSattler KScannapieco MWimmer MWrembel RZaraket F(2018)Big Data SemanticsJournal on Data Semantics10.1007/s13740-018-0086-27:2(65-85)Online publication date: 23-May-2018
https://doi.org/10.1007/s13740-018-0086-2
Zitnik SBajec MLavbic D(2017)LogMap+: Relational data enrichment and linked data resources matching2017 11th International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2017.7956546(267-275)Online publication date: May-2017
https://doi.org/10.1109/RCIS.2017.7956546
Abul-Basher Z(2017)Multiple-Query Optimization of Regular Path Queries2017 IEEE 33rd International Conference on Data Engineering (ICDE)10.1109/ICDE.2017.205(1426-1430)Online publication date: Apr-2017
https://doi.org/10.1109/ICDE.2017.205
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