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Reusable transformations of Data Cube Vocabulary datasets from the fiscal domain

The result's identifiers

  • Result code in 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>

  • Alternative codes found

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

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reusable transformations of Data Cube Vocabulary datasets from the fiscal domain

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

    1613-0073

  • Number of pages

    12

  • Pages from-to

  • Publisher name

    CEUR Workshop Proceedings

  • Place of publication

    Aachen

  • Event location

    Kobe

  • Event date

    Oct 18, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article