Publishing linked data - There is no one-size-fits-all formula

Boris Villazón-Terrazas; Daniel Vila-Suero; Daniel Garijo; Luis M. Vilches-Blázquez; María Poveda-Villalón; José Mora; Oscar Corcho; Asunción Gómez-Pérez

Publishing linked data - There is no one-size-fits-all formula

Boris Villazón-Terrazas, Daniel Vila-Suero, Daniel Garijo, Luis M. Vilches-Blázquez, María Poveda-Villalón, José Mora, Oscar Corcho, Asunción Gómez-Pérez

Research output: Contribution to journal › Conference article › peer-review

8 Scopus citations

Abstract

Publishing Linked Data is a process that involves several design decisions and technologies. Although some initial guidelines have been already provided by Linked Data publishers, these are still far from covering all the steps that are necessary (from data source selection to publication) or giving enough details about all these steps, technolo- gies, intermediate products, etc. Furthermore, given the variety of data sources from which Linked Data can be generated, we believe that it is possible to have a single and unified method for publishing Linked Data, but we should rely on different techniques, technologies and tools for particular datasets of a given domain. In this paper we present a general method for publishing Linked Data and the application of the method to cover different sources from difierent domains.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	877
State	Published - 2012
Externally published	Yes
Event	1st European Data Forum 2012, EDF 2012 - Copenhagen, Denmark Duration: 6 Jun 2012 → 7 Jun 2012

Keywords

Linked data
Publishing linked data

Cite this

@article{d96d38c8af7445eeae423b90ca27bd1f,

title = "Publishing linked data - There is no one-size-fits-all formula",

abstract = "Publishing Linked Data is a process that involves several design decisions and technologies. Although some initial guidelines have been already provided by Linked Data publishers, these are still far from covering all the steps that are necessary (from data source selection to publication) or giving enough details about all these steps, technolo- gies, intermediate products, etc. Furthermore, given the variety of data sources from which Linked Data can be generated, we believe that it is possible to have a single and unified method for publishing Linked Data, but we should rely on different techniques, technologies and tools for particular datasets of a given domain. In this paper we present a general method for publishing Linked Data and the application of the method to cover different sources from difierent domains.",

keywords = "Linked data, Publishing linked data",

author = "Boris Villaz{\'o}n-Terrazas and Daniel Vila-Suero and Daniel Garijo and Vilches-Bl{\'a}zquez, {Luis M.} and Mar{\'i}a Poveda-Villal{\'o}n and Jos{\'e} Mora and Oscar Corcho and Asunci{\'o}n G{\'o}mez-P{\'e}rez",

year = "2012",

language = "Ingl{\'e}s",

volume = "877",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "1st European Data Forum 2012, EDF 2012 ; Conference date: 06-06-2012 Through 07-06-2012",

}

TY - JOUR

T1 - Publishing linked data - There is no one-size-fits-all formula

AU - Villazón-Terrazas, Boris

AU - Vila-Suero, Daniel

AU - Garijo, Daniel

AU - Vilches-Blázquez, Luis M.

AU - Poveda-Villalón, María

AU - Mora, José

AU - Corcho, Oscar

AU - Gómez-Pérez, Asunción

PY - 2012

Y1 - 2012

N2 - Publishing Linked Data is a process that involves several design decisions and technologies. Although some initial guidelines have been already provided by Linked Data publishers, these are still far from covering all the steps that are necessary (from data source selection to publication) or giving enough details about all these steps, technolo- gies, intermediate products, etc. Furthermore, given the variety of data sources from which Linked Data can be generated, we believe that it is possible to have a single and unified method for publishing Linked Data, but we should rely on different techniques, technologies and tools for particular datasets of a given domain. In this paper we present a general method for publishing Linked Data and the application of the method to cover different sources from difierent domains.

AB - Publishing Linked Data is a process that involves several design decisions and technologies. Although some initial guidelines have been already provided by Linked Data publishers, these are still far from covering all the steps that are necessary (from data source selection to publication) or giving enough details about all these steps, technolo- gies, intermediate products, etc. Furthermore, given the variety of data sources from which Linked Data can be generated, we believe that it is possible to have a single and unified method for publishing Linked Data, but we should rely on different techniques, technologies and tools for particular datasets of a given domain. In this paper we present a general method for publishing Linked Data and the application of the method to cover different sources from difierent domains.

KW - Linked data

KW - Publishing linked data

UR - http://www.scopus.com/inward/record.url?scp=84891918088&partnerID=8YFLogxK

M3 - Artículo de la conferencia

AN - SCOPUS:84891918088

SN - 1613-0073

VL - 877

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 1st European Data Forum 2012, EDF 2012

Y2 - 6 June 2012 through 7 June 2012

ER -

Publishing linked data - There is no one-size-fits-all formula

Abstract

Keywords

Other files and links

Fingerprint

Cite this