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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

10 Citationer (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.

Originalsprog	Engelsk
Titel	Proceedings of the 26th International Conference on World Wide Web Companion
Forlag	Association for Computing Machinery
Publikationsdato	apr. 2017
Sider	213-217
ISBN (Trykt)	978-1-4503-4914-7
DOI	https://doi.org/10.1145/3041021.3054731
Status	Udgivet - apr. 2017
Begivenhed	26th International Conference on World Wide Web Companion - Perth, Australien Varighed: 3 apr. 2017 → 7 apr. 2017 Konferencens nummer: 26 http://www.www2017.com.au/

Konference

Konference	26th International Conference on World Wide Web Companion
Nummer	26
Land/Område	Australien
By	Perth
Periode	03/04/2017 → 07/04/2017
Internetadresse	http://www.www2017.com.au/

Adgang til dokumentet

10.1145/3041021.3054731Licens: CC BY 4.0

Open Access articleForlagets udgivne version, 1,82 MBLicens: CC BY 4.0

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

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
Projekter: Projekt › Forskning

WWW 2017 Best Demo Award
Gür, Nurefsan (Modtager), Nielsen, Jacob (Modtager), Hose, Katja (Modtager) & Pedersen, Torben Bach (Modtager), apr. 2017
Pris: Konferencepriser

Citationsformater

@inproceedings{728d3193a0864e7cb9198c42bce595e2,

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}",

year = "2017",

month = apr,

doi = "10.1145/3041021.3054731",

language = "English",

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

pages = "213--217",

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

publisher = "Association for Computing Machinery",

address = "United States",

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

url = "http://www.www2017.com.au/",

}

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. s. 213-217.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - GeoSemOLAP

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

Y1 - 2017/4

N2 - 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.

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

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

QWeb: Querying the Web of Data Easily and Efficiently

Priser

WWW 2017 Best Demo Award

Citationsformater