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Methodology of the development of the data model for spatial linked data with point geometry

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43953341" target="_blank" >RIV/49777513:23520/18:43953341 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.5593/sgem2018/2.2/S08.038" target="_blank" >http://dx.doi.org/10.5593/sgem2018/2.2/S08.038</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5593/sgem2018/2.2/S08.038" target="_blank" >10.5593/sgem2018/2.2/S08.038</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Methodology of the development of the data model for spatial linked data with point geometry

  • Popis výsledku v původním jazyce

    Linked Open Data or Linked Data is an innovative approach to data management regarding spatial and geographic data as well. Its main benefits consist in using existing web technologies, including Uniform Resource Identifier as feature identifier and links connecting particular data objects. This paper discusses a methodology of the development of a data model respecting the Linked Data approach for spatial data with point geometry (called points of interest). The complete development process is composed of several steps – building of a core model with necessary properties, construction of an extended model (there is expedient to involve a broad group of potential users and domain experts in this phase), searching corresponding features in existing vocabularies, data models and data sets (to make the model more semantically interoperable), proposing of identity or topological links to other data objects published as Linked Data, testing and feedback retrieving and a determination of a way of requirements and changes recording as well as a plan for a publishing of data model modifications. These particular steps are illustrated by the construction of data model of the Smart Points of Interest data, which represents the one the largest points of interest data published as Linked Data. The goal of this paper is to provide a relevant directions how to advance Linked Data modeling in the geo- domain and to open a discussion about development of spatial Linked Open Data sets in general.

  • Název v anglickém jazyce

    Methodology of the development of the data model for spatial linked data with point geometry

  • Popis výsledku anglicky

    Linked Open Data or Linked Data is an innovative approach to data management regarding spatial and geographic data as well. Its main benefits consist in using existing web technologies, including Uniform Resource Identifier as feature identifier and links connecting particular data objects. This paper discusses a methodology of the development of a data model respecting the Linked Data approach for spatial data with point geometry (called points of interest). The complete development process is composed of several steps – building of a core model with necessary properties, construction of an extended model (there is expedient to involve a broad group of potential users and domain experts in this phase), searching corresponding features in existing vocabularies, data models and data sets (to make the model more semantically interoperable), proposing of identity or topological links to other data objects published as Linked Data, testing and feedback retrieving and a determination of a way of requirements and changes recording as well as a plan for a publishing of data model modifications. These particular steps are illustrated by the construction of data model of the Smart Points of Interest data, which represents the one the largest points of interest data published as Linked Data. The goal of this paper is to provide a relevant directions how to advance Linked Data modeling in the geo- domain and to open a discussion about development of spatial Linked Open Data sets in general.

Klasifikace

  • 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)

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    18th International Multidisciplinary Scientific GeoConference SGEM 2018 Conference Proceedings Volume 18

  • ISBN

    978-619-7408-40-9

  • ISSN

    1314-2704

  • e-ISSN

    neuvedeno

  • Počet stran výsledku

    8

  • Strana od-do

    301-308

  • Název nakladatele

    STEF92 Technology

  • Místo vydání

    Sofia

  • Místo konání akce

    Albena

  • Datum konání akce

    2. 7. 2018

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku