LinkedPipes ETL in Use: Practical Publication and Consumption of Linked Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10363613" target="_blank" >RIV/00216208:11320/17:10363613 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3151759.3151809" target="_blank" >http://dx.doi.org/10.1145/3151759.3151809</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3151759.3151809" target="_blank" >10.1145/3151759.3151809</a>

Result language

angličtina

Original language name

LinkedPipes ETL in Use: Practical Publication and Consumption of Linked Data

Original language description

Companies and institutions now realize the potential of Linked Open Data (LOD) and they start publishing their own data as LOD. However, publishing LOD is still a challenging task. One of the main reasons is a lack of user friendly tooling which would properly support the whole LOD publishing process. The process typically consists of source data extraction, transformation to RDF, alignment with commonly used vocabularies, linking to other datasets, computing metadata, publishing on the web as a dump, loading into a triplestore and recording the dataset in a data catalog such as CKAN. In this paper we present LinkedPipes~ETL, a tool for ETL-like LOD publishing, which mainly focuses on supporting such LOD publishing workflows in a user friendly way. In addition, the tool also eases consumption of already existing LOD data sources as it addresses some of the practical issues associated with it. Finally, the tool itself uses Linked Data technologies for representation of the ETL processes. We describe LinkedPipes ETL and its main distinguishing features in context of the use cases in which the tool has already been deployed. They include an institution of public administration, a municipality, a university, a software company and an open data initiative.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA16-09713S" target="_blank" >GA16-09713S: Efficient Exploration of Linked Data Cloud</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 19th International Conference on Information Integration and Web-based Applications &amp; Services

ISBN

978-1-4503-5299-4

ISSN

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e-ISSN

neuvedeno

Number of pages

5

Pages from-to

441-445

Publisher name

ACM

Place of publication

New York, NY, USA

Event location

Salzburg, Austria

Event date

Dec 4, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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