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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

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/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Article name in the collection

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

ISBN

978-619-7408-40-9

ISSN

1314-2704

e-ISSN

neuvedeno

Number of pages

8

Pages from-to

301-308

Publisher name

STEF92 Technology

Place of publication

Sofia

Event location

Albena

Event date

Jul 2, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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