DataSpecer: A Model-Driven Approach to Managing Data Specifications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10448310" target="_blank" >RIV/00216208:11320/22:10448310 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/https://doi.org/10.1007/978-3-031-11609-4_10" target="_blank" >https://doi.org/https://doi.org/10.1007/978-3-031-11609-4_10</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-11609-4_10" target="_blank" >10.1007/978-3-031-11609-4_10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

DataSpecer: A Model-Driven Approach to Managing Data Specifications

Popis výsledku v původním jazyce

In this paper, we demonstrate DataSpecer, a tool for effortless management of data specifications based on a domain ontology. Using DataSpecer, the users can generate technical artifacts such as data schemas, e.g., in JSON Schema or XML Schema, and human-readable documentation for a specific dataset based on the provided ontology while maintaining the semantic mapping from the generated artifacts to the ontology. This significantly eases the task of developing data specifications and keeping the corresponding technical artifacts consistent in the process. The tool is based on a previously studied model-driven development (MDD) approach that divides data modeling into layers. This approach was already partially implemented in the tools XCase and eXolutio, however, only for XML Schemas and only based on a manually created model, not on an existing domain ontology. Our current tool provides support for the implementation of artifact generators for any target format, including human-readable documentation, and supports domain ontologies as the starting point of the MDD. The tool is already in use in Czechia with the Semantic Government Vocabulary (SGOV) serving as the domain ontology.

Název v anglickém jazyce

DataSpecer: A Model-Driven Approach to Managing Data Specifications

Popis výsledku anglicky

In this paper, we demonstrate DataSpecer, a tool for effortless management of data specifications based on a domain ontology. Using DataSpecer, the users can generate technical artifacts such as data schemas, e.g., in JSON Schema or XML Schema, and human-readable documentation for a specific dataset based on the provided ontology while maintaining the semantic mapping from the generated artifacts to the ontology. This significantly eases the task of developing data specifications and keeping the corresponding technical artifacts consistent in the process. The tool is based on a previously studied model-driven development (MDD) approach that divides data modeling into layers. This approach was already partially implemented in the tools XCase and eXolutio, however, only for XML Schemas and only based on a manually created model, not on an existing domain ontology. Our current tool provides support for the implementation of artifact generators for any target format, including human-readable documentation, and supports domain ontologies as the starting point of the MDD. The tool is already in use in Czechia with the Semantic Government Vocabulary (SGOV) serving as the domain ontology.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

The Semantic Web: ESWC 2022 Satellite Events

ISBN

978-3-031-11608-7

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

5

Strana od-do

52-56

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Hersonissos, Crete, Greece,

Datum konání akce

29. 5. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000877385000010