Sparql2graphserver: A server-side tool for extracting networks from linked data for data analysis

Petri Leskinen; Eero Hyvönen; Jouni Tuominen

Sparql2graphserver: A server-side tool for extracting networks from linked data for data analysis

University of Helsinki

Research output: Contribution to journal › Conference article › Scientific › peer-review

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Abstract

This paper presents a server-side tool for constructing graph representations from a Linked Data for network analysis. The main features for the tool are: 1) Support to read data from a SPARQL endpoint, 2) easy adaptation to virtually any dataset and data model, and 3) easy usage in web portals for data analysis. The tool is in use.

Original language	English
Number of pages	5
Journal	CEUR Workshop Proceedings
Volume	2980
Publication status	Published - 2021
MoE publication type	A4 Conference publication
Event	International Semantic Web Conference - Virtual, Online Duration: 24 Oct 2021 → 28 Oct 2021 Conference number: 20

Funding

Acknowledgements This work was funded by the Academy of Finland project SEMPARL, the EU project InTaVia22, and is related to the EU COST action Nexus Linguarum23. CSC – IT Center for Science provided computational resources for the work. Discussions with Mikko Kivelä, Javier Ureña-Carrion, Minna Tamper, and Esko Ikkala are acknowledged.

Keywords

Data Analysis
Linked Open Data
Network Visualization

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Sparql2graphserver_A server-side tool for extracting networks from linked data for data analysisFinal published version, 528 KBLicence: CC BY

http://ceur-ws.org/Vol-2980/Licence: CC BY

Cite this

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title = "Sparql2graphserver: A server-side tool for extracting networks from linked data for data analysis",

abstract = "This paper presents a server-side tool for constructing graph representations from a Linked Data for network analysis. The main features for the tool are: 1) Support to read data from a SPARQL endpoint, 2) easy adaptation to virtually any dataset and data model, and 3) easy usage in web portals for data analysis. The tool is in use.",

keywords = "Data Analysis, Linked Open Data, Network Visualization",

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AU - Leskinen, Petri

AU - Hyvönen, Eero

AU - Tuominen, Jouni

N1 - Conference code: 20

PY - 2021

Y1 - 2021

N2 - This paper presents a server-side tool for constructing graph representations from a Linked Data for network analysis. The main features for the tool are: 1) Support to read data from a SPARQL endpoint, 2) easy adaptation to virtually any dataset and data model, and 3) easy usage in web portals for data analysis. The tool is in use.

AB - This paper presents a server-side tool for constructing graph representations from a Linked Data for network analysis. The main features for the tool are: 1) Support to read data from a SPARQL endpoint, 2) easy adaptation to virtually any dataset and data model, and 3) easy usage in web portals for data analysis. The tool is in use.

KW - Data Analysis

KW - Linked Open Data

KW - Network Visualization

UR - https://www.scopus.com/pages/publications/85117711423

UR - https://vimeo.com/628928051

M3 - Conference article

AN - SCOPUS:85117711423

SN - 1613-0073

VL - 2980

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - International Semantic Web Conference

Y2 - 24 October 2021 through 28 October 2021

ER -

Sparql2graphserver: A server-side tool for extracting networks from linked data for data analysis

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

InTaVia/Tuominen: In/Tangible European Heritage - Visual Analysis, Curation and Communication Note

SEMPARL Semantic Parliament: Linked Open Data Service for Studying Political Culture

International Semantic Web Conference (ISWC 2021)

Cite this

Sparql2graphserver: A server-side tool for extracting networks from linked data for data analysis

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

InTaVia/Tuominen: In/Tangible European Heritage - Visual Analysis, Curation and Communication Note

SEMPARL Semantic Parliament: Linked Open Data Service for Studying Political Culture

Activities

International Semantic Web Conference (ISWC 2021)

Cite this