Galaxy: a platform for explorative analysis of Open Data sources

Seyed Mehdi Reza Beheshti; Boualem Benatallah; Hamid Reza Motahari-Nezhad

doi:10.5441/002/edbt.2016.68

Galaxy: a platform for explorative analysis of Open Data sources

Seyed Mehdi Reza Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

15 Citations (Scopus)

35 Downloads (Pure)

Abstract

A large volume of Open Data is being generated on a continuous basis. Examples of this are the case of social, natural, and information systems such as World Wide Web and social networks. Most entities and objects in the Open Data are interconnected, forming a complex, semi-structured, and information-rich networks. In this sense, Linked Open Data has the potential to be similar to a federated database. Since Linked Open Data is based on W3C standards, it is possible to implement a federation infrastructure, however, the current SPARQL standard makes it challenging to analyze the Open Data in an explorative manner. Consequently, it will be hard to discover the hidden knowledge in the relationships among entities in Open Data sources. In this paper, we present Galaxy, a platform for explorative analysis of Open Data Sources. Galaxy facilitates the analysis of Open Data graphs based on simple abstractions, i.e. folders and paths, which enable an analyst to group related entities in the graph or find paths among entities. Galaxy uses Hadoop data processing platforms to store and retrieve large numbers of RDF triples and to support cost-effective and Web-scale processing of Semantic Web data through a Folder-Path enabled extension of SPARQL.

Original language	English
Title of host publication	Advances in Database Technology - EDBT 2016
Subtitle of host publication	19th International Conference on Extending Database Technology, Proceedings
Editors	Evaggelia Pitoura, Sofian Maabout, Georgia Koutrika, Amelie Marian, Letizia Tanca, Ioana Manolescu, Kostas Stefanidis
Publisher	OpenProceedings.org, University of Konstanz, University Library
Pages	640-643
Number of pages	4
Volume	2016-March
ISBN (Electronic)	9783893180707
DOIs	https://doi.org/10.5441/002/edbt.2016.68
Publication status	Published - 1 Jan 2016
Externally published	Yes
Event	19th International Conference on Extending Database Technology, EDBT 2016 - Bordeaux, France Duration: 15 Mar 2016 → 18 Mar 2016

Conference

Conference	19th International Conference on Extending Database Technology, EDBT 2016
Country/Territory	France
City	Bordeaux
Period	15/03/16 → 18/03/16

Bibliographical note

Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Linked data
Open data analytics
Querying graphs

Access to Document

10.5441/002/edbt.2016.68

Publisher version (open access)Final published version, 2.42 MBLicence: CC BY-NC-ND

Cite this

Beheshti, S. M. R., Benatallah, B., & Motahari-Nezhad, H. R. (2016). Galaxy: a platform for explorative analysis of Open Data sources. In E. Pitoura, S. Maabout, G. Koutrika, A. Marian, L. Tanca, I. Manolescu, & K. Stefanidis (Eds.), Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings (Vol. 2016-March, pp. 640-643). OpenProceedings.org, University of Konstanz, University Library. https://doi.org/10.5441/002/edbt.2016.68

Beheshti, Seyed Mehdi Reza ; Benatallah, Boualem ; Motahari-Nezhad, Hamid Reza. / Galaxy : a platform for explorative analysis of Open Data sources. Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. editor / Evaggelia Pitoura ; Sofian Maabout ; Georgia Koutrika ; Amelie Marian ; Letizia Tanca ; Ioana Manolescu ; Kostas Stefanidis. Vol. 2016-March OpenProceedings.org, University of Konstanz, University Library, 2016. pp. 640-643

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abstract = "A large volume of Open Data is being generated on a continuous basis. Examples of this are the case of social, natural, and information systems such as World Wide Web and social networks. Most entities and objects in the Open Data are interconnected, forming a complex, semi-structured, and information-rich networks. In this sense, Linked Open Data has the potential to be similar to a federated database. Since Linked Open Data is based on W3C standards, it is possible to implement a federation infrastructure, however, the current SPARQL standard makes it challenging to analyze the Open Data in an explorative manner. Consequently, it will be hard to discover the hidden knowledge in the relationships among entities in Open Data sources. In this paper, we present Galaxy, a platform for explorative analysis of Open Data Sources. Galaxy facilitates the analysis of Open Data graphs based on simple abstractions, i.e. folders and paths, which enable an analyst to group related entities in the graph or find paths among entities. Galaxy uses Hadoop data processing platforms to store and retrieve large numbers of RDF triples and to support cost-effective and Web-scale processing of Semantic Web data through a Folder-Path enabled extension of SPARQL.",

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note = "Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 19th International Conference on Extending Database Technology, EDBT 2016 ; Conference date: 15-03-2016 Through 18-03-2016",

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Beheshti, SMR, Benatallah, B & Motahari-Nezhad, HR 2016, Galaxy: a platform for explorative analysis of Open Data sources. in E Pitoura, S Maabout, G Koutrika, A Marian, L Tanca, I Manolescu & K Stefanidis (eds), Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. vol. 2016-March, OpenProceedings.org, University of Konstanz, University Library, pp. 640-643, 19th International Conference on Extending Database Technology, EDBT 2016, Bordeaux, France, 15/03/16. https://doi.org/10.5441/002/edbt.2016.68

Galaxy: a platform for explorative analysis of Open Data sources. / Beheshti, Seyed Mehdi Reza; Benatallah, Boualem; Motahari-Nezhad, Hamid Reza.
Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. ed. / Evaggelia Pitoura; Sofian Maabout; Georgia Koutrika; Amelie Marian; Letizia Tanca; Ioana Manolescu; Kostas Stefanidis. Vol. 2016-March OpenProceedings.org, University of Konstanz, University Library, 2016. p. 640-643.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Galaxy

T2 - 19th International Conference on Extending Database Technology, EDBT 2016

AU - Beheshti, Seyed Mehdi Reza

AU - Benatallah, Boualem

AU - Motahari-Nezhad, Hamid Reza

N1 - Copyright the Author(s) 2016. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - A large volume of Open Data is being generated on a continuous basis. Examples of this are the case of social, natural, and information systems such as World Wide Web and social networks. Most entities and objects in the Open Data are interconnected, forming a complex, semi-structured, and information-rich networks. In this sense, Linked Open Data has the potential to be similar to a federated database. Since Linked Open Data is based on W3C standards, it is possible to implement a federation infrastructure, however, the current SPARQL standard makes it challenging to analyze the Open Data in an explorative manner. Consequently, it will be hard to discover the hidden knowledge in the relationships among entities in Open Data sources. In this paper, we present Galaxy, a platform for explorative analysis of Open Data Sources. Galaxy facilitates the analysis of Open Data graphs based on simple abstractions, i.e. folders and paths, which enable an analyst to group related entities in the graph or find paths among entities. Galaxy uses Hadoop data processing platforms to store and retrieve large numbers of RDF triples and to support cost-effective and Web-scale processing of Semantic Web data through a Folder-Path enabled extension of SPARQL.

AB - A large volume of Open Data is being generated on a continuous basis. Examples of this are the case of social, natural, and information systems such as World Wide Web and social networks. Most entities and objects in the Open Data are interconnected, forming a complex, semi-structured, and information-rich networks. In this sense, Linked Open Data has the potential to be similar to a federated database. Since Linked Open Data is based on W3C standards, it is possible to implement a federation infrastructure, however, the current SPARQL standard makes it challenging to analyze the Open Data in an explorative manner. Consequently, it will be hard to discover the hidden knowledge in the relationships among entities in Open Data sources. In this paper, we present Galaxy, a platform for explorative analysis of Open Data Sources. Galaxy facilitates the analysis of Open Data graphs based on simple abstractions, i.e. folders and paths, which enable an analyst to group related entities in the graph or find paths among entities. Galaxy uses Hadoop data processing platforms to store and retrieve large numbers of RDF triples and to support cost-effective and Web-scale processing of Semantic Web data through a Folder-Path enabled extension of SPARQL.

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KW - Open data analytics

KW - Querying graphs

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DO - 10.5441/002/edbt.2016.68

M3 - Conference proceeding contribution

AN - SCOPUS:85043274877

VL - 2016-March

SP - 640

EP - 643

BT - Advances in Database Technology - EDBT 2016

A2 - Pitoura, Evaggelia

A2 - Maabout, Sofian

A2 - Koutrika, Georgia

A2 - Marian, Amelie

A2 - Tanca, Letizia

A2 - Manolescu, Ioana

A2 - Stefanidis, Kostas

PB - OpenProceedings.org, University of Konstanz, University Library

Y2 - 15 March 2016 through 18 March 2016

ER -

Beheshti SMR, Benatallah B, Motahari-Nezhad HR. Galaxy: a platform for explorative analysis of Open Data sources. In Pitoura E, Maabout S, Koutrika G, Marian A, Tanca L, Manolescu I, Stefanidis K, editors, Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. Vol. 2016-March. OpenProceedings.org, University of Konstanz, University Library. 2016. p. 640-643 doi: 10.5441/002/edbt.2016.68

Galaxy: a platform for explorative analysis of Open Data sources

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Bibliographical note

Keywords

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