Název:	Methodology of the development of the data model for spatial linked data with point geometry
Autoři:	Čerba, Otakar
Citace zdrojového dokumentu:	ČERBA, O. Methodology of the development of the data model for spatial linked data with point geometry. In 18th International Multidisciplinary Scientific GeoConference SGEM 2018 Conference Proceedings Volume 18. Sofia: STEF92 Technology, 2018. s. 301-308. ISBN 978-619-7408-40-9 , ISSN 1314-2704.
Datum vydání:	2018
Nakladatel:	STEF92 Technology
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/31154
ISBN:	978-619-7408-40-9
ISSN:	1314-2704
Klíčová slova v dalším jazyce:	Spatial data;Linked Data;Data modelling;Semantics;Geographical data
Abstrakt v dalším 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.
Práva:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © STEF92 Technology
Vyskytuje se v kolekcích:	Konferenční příspěvky / Conference Papers (KGM) OBD

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.