Reusable transformations of Data Cube Vocabulary datasets from the fiscal domain

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F16%3A00302015" target="_blank" >RIV/68407700:21240/16:00302015 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31140/16:00049255 RIV/00216208:11320/16:10326682

Výsledek na webu

<a href="http://ceur-ws.org/Vol-1654/article-04.pdf" target="_blank" >http://ceur-ws.org/Vol-1654/article-04.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Reusable transformations of Data Cube Vocabulary datasets from the fiscal domain

Popis výsledku v původním jazyce

Shared data models provide leverage for reusable data transformations. Common modelling patterns and data structures can make data transformations applicable to diverse datasets. Similarly to data models, reusable data transformations promote separation of concerns, prevent duplication of effort, and reduce the time spent processing data. However, unlike data models, which can be shared as RDF vocabularies or ontologies, there is no well-established way of sharing data transformations.We propose a way to share data transformations as `pipeline fragments’ for LinkedPipes ETL (LP-ETL), which is an RDFbased data processing tool focused on RDF data. We describe the features of LP-ETL that enable development of reusable transformations as pipeline fragments. Pipeline fragments are represented in RDF as JSON-LD files that can be shared directly or via dereferenceable IRIs. We demonstrate the use of pipeline fragments on data transformations for fiscal data described by the Data Cube Vocabulary (DCV). We cover both generic transformations for any DCV-compliant data, such as DCV validation or DCV to CSV conversion, and transformations specific for the fiscal data used in the OpenBudgets.eu (OBEU) project, including conversion of Fiscal Data Package to RDF or normalization of monetary values. The applicability of these transformations is shown on concrete use cases serving the goals of the OBEU project.

Název v anglickém jazyce

Reusable transformations of Data Cube Vocabulary datasets from the fiscal domain

Popis výsledku anglicky

Shared data models provide leverage for reusable data transformations. Common modelling patterns and data structures can make data transformations applicable to diverse datasets. Similarly to data models, reusable data transformations promote separation of concerns, prevent duplication of effort, and reduce the time spent processing data. However, unlike data models, which can be shared as RDF vocabularies or ontologies, there is no well-established way of sharing data transformations.We propose a way to share data transformations as `pipeline fragments’ for LinkedPipes ETL (LP-ETL), which is an RDFbased data processing tool focused on RDF data. We describe the features of LP-ETL that enable development of reusable transformations as pipeline fragments. Pipeline fragments are represented in RDF as JSON-LD files that can be shared directly or via dereferenceable IRIs. We demonstrate the use of pipeline fragments on data transformations for fiscal data described by the Data Cube Vocabulary (DCV). We cover both generic transformations for any DCV-compliant data, such as DCV validation or DCV to CSV conversion, and transformations specific for the fiscal data used in the OpenBudgets.eu (OBEU) project, including conversion of Fiscal Data Package to RDF or normalization of monetary values. The applicability of these transformations is shown on concrete use cases serving the goals of the OBEU project.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 4th International Workshop on Semantic Statistics co-located with 15th International Semantic Web Conference (ISWC 2016)

ISBN

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ISSN

1613-0073

e-ISSN

1613-0073

Počet stran výsledku

12

Strana od-do

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Název nakladatele

CEUR Workshop Proceedings

Místo vydání

Aachen

Místo konání akce

Kobe

Datum konání akce

18. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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