The W3C Data Catalog Vocabulary,Version 2:Rationale,Design Principles,and Uptake  

作　　者：Riccardo Albertoni David Browning Simon Cox Alejandra N.Gonzalez-Beltran Andrea Perego Peter Winstanley 

机构地区：[1]Istituto di Matematica Applicata e Tecnologie Informatiche"Enrico Magenes",Consiglio Nazionale delle Ricerche(IMATI-CNR),Genoa,Italy [2]Independent Consultant,United Kingdom [3]LandandWater,CSiRO,Melbourne,Australia [4]Scientific Computing,Rutherford Appleton Laboratory,Science and Technology Facilities Council,Harwell Cam-pus,Ox110QX,United Kingdom [5]European Parliament,Luxembourg [6]Semantic Arts,Fort Collins,CO80524,USA

出　　处：《Data Intelligence》2024年第2期457-487,共31页数据智能（英文）

基　　金：partially supported by TAILOR, a project funded by EU Horizon 2020 research and innovation programme under GA No 952215;funded by refinitiv.com (previously Thomson Reuters)

摘　　要：DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.Since its first release in 2014 as a W3C Recommendation,DCAT has seen a wide adoption across communities and domains,particularly in conjunction with implementing the FAIR data principles(forfindable,accessible,interoperable and reusable data).These implementation experiences,besides demonstrating the fitness of DCAT to meet its intended purpose,helped identify existing issues and gaps.Moreover,over the last few years,additional requirements emerged in data catalogs,given the increasing practice of documenting not only datasets but also data services and APls.This paper illustrates the new version of DCAT,explaining the rationale behind its main revisions and extensions,based on the collected use cases and requirements,and outlines the issues yet to be addressed in future versions of DCAT.

关 键 词：Data Catalogs INTEROPERABILITY Discoverability FAIR data 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]