GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy

Nurefsan Gur; Jacob Nielsen; Katja Hose; Torben Bach Pedersen

doi:10.1145/3041021.3054731

GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy

Nurefsan Gur, Jacob Nielsen, Katja Hose, Torben Bach Pedersen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

10 Citations (Scopus)

299 Downloads (Pure)

Abstract

The proliferation of spatial data and the publication of multidimensional (MD) data on the Semantic Web (SW) has led to new opportunities for On-Line Analytical Processing (SOLAP) over spatial data using SPARQL. However, formulating such queries results in verbose statements and can easily become very difficult for inexperienced users. Hence, we have developed GeoSemOLAP to enable users without detailed knowledge of RDF and SPARQL to query the SW with SOLAP. GeoSemOLAP generates SPARQL queries based on high-level SOLAP operators and allows the user to interactively formulate queries using a graphical interface with interactive maps.

Original language	English
Title of host publication	Proceedings of the 26th International Conference on World Wide Web Companion
Publisher	Association for Computing Machinery
Publication date	Apr 2017
Pages	213-217
ISBN (Print)	978-1-4503-4914-7
DOIs	https://doi.org/10.1145/3041021.3054731
Publication status	Published - Apr 2017
Event	26th International Conference on World Wide Web Companion - Perth, Australia Duration: 3 Apr 2017 → 7 Apr 2017 Conference number: 26 http://www.www2017.com.au/

Conference

Conference	26th International Conference on World Wide Web Companion
Number	26
Country/Territory	Australia
City	Perth
Period	03/04/2017 → 07/04/2017
Internet address	http://www.www2017.com.au/

Access to Document

10.1145/3041021.3054731Licence: CC BY 4.0

Open Access articleFinal published version, 1.82 MBLicence: CC BY 4.0

AUB Link

Search for the material in Aalborg University Library's search engine

QWeb: Querying the Web of Data Easily and Efficiently
Hose, K., Montoya, G., Prado, L. A. G. D., Rouces, J., Mathiassen, K. A. M., Zervakis, E. & Setty, V.
01/02/2015 → 31/10/2019
Project: Research

WWW 2017 Best Demo Award
Gür, Nurefsan (Recipient), Nielsen, Jacob (Recipient), Hose, Katja (Recipient) & Pedersen, Torben Bach (Recipient), Apr 2017
Prize: Conference prizes

Cite this

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title = "GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy",

abstract = "The proliferation of spatial data and the publication of multidimensional (MD) data on the Semantic Web (SW) has led to new opportunities for On-Line Analytical Processing (SOLAP) over spatial data using SPARQL. However, formulating such queries results in verbose statements and can easily become very difficult for inexperienced users. Hence, we have developed GeoSemOLAP to enable users without detailed knowledge of RDF and SPARQL to query the SW with SOLAP. GeoSemOLAP generates SPARQL queries based on high-level SOLAP operators and allows the user to interactively formulate queries using a graphical interface with interactive maps.",

author = "Nurefsan Gur and Jacob Nielsen and Katja Hose and Pedersen, {Torben Bach}",

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language = "English",

isbn = "978-1-4503-4914-7",

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booktitle = "Proceedings of the 26th International Conference on World Wide Web Companion",

publisher = "Association for Computing Machinery",

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note = "26th International Conference on World Wide Web Companion, WWW2017 ; Conference date: 03-04-2017 Through 07-04-2017",

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GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy. / Gur, Nurefsan; Nielsen, Jacob; Hose, Katja et al.
Proceedings of the 26th International Conference on World Wide Web Companion. Association for Computing Machinery, 2017. p. 213-217.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

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T2 - 26th International Conference on World Wide Web Companion

AU - Gur, Nurefsan

AU - Nielsen, Jacob

AU - Hose, Katja

AU - Pedersen, Torben Bach

N1 - Conference code: 26

PY - 2017/4

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AB - The proliferation of spatial data and the publication of multidimensional (MD) data on the Semantic Web (SW) has led to new opportunities for On-Line Analytical Processing (SOLAP) over spatial data using SPARQL. However, formulating such queries results in verbose statements and can easily become very difficult for inexperienced users. Hence, we have developed GeoSemOLAP to enable users without detailed knowledge of RDF and SPARQL to query the SW with SOLAP. GeoSemOLAP generates SPARQL queries based on high-level SOLAP operators and allows the user to interactively formulate queries using a graphical interface with interactive maps.

U2 - 10.1145/3041021.3054731

DO - 10.1145/3041021.3054731

M3 - Article in proceeding

SN - 978-1-4503-4914-7

SP - 213

EP - 217

BT - Proceedings of the 26th International Conference on World Wide Web Companion

PB - Association for Computing Machinery

Y2 - 3 April 2017 through 7 April 2017

ER -

GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy

Abstract

Conference

Access to Document

AUB Link

Fingerprint

Projects

QWeb: Querying the Web of Data Easily and Efficiently

Prizes

WWW 2017 Best Demo Award

Cite this