Collaborative Research on Academic History using Linked Open Data: A Proposal for the Heloise Common Research Model

被引:2
|
作者
Beretta, Francesco [1 ]
Riechert, Thomas [2 ]
机构
[1] Univ Lyon, CNRS, Lab Rech Hist Rhone Alpes, UMR 5190 LARHRA, Lyon, France
[2] Univ Appl Sci, HTWK, Leipzig, Germany
来源
关键词
academic history; domain ontologies; data interoperability; semantic web technologies; linked open data;
D O I
10.20318/cian.2016.3147
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The paper presents a proposal for the Heloise Common Research Model (HCRM), to be implemented for the European research network on digital academic history Heloise. The objective of Heloise is to interlink databases and other digital resources stemming from several research projects in the field of academic history, to provide an integrated database for federated research on the network databases. The HCRM defines three layers: the Repository Layer, the Application Layer and the Research Interface Layer, which are presented in detail. As part of the application and research interface layer, essential concepts are the symogih.org ontology and a Heloise network-specific thesaurus. The concepts have been tested on a sample of Heloise networks datasets as a part of a prototype of the envisaged platform that the authors have started implementing. The paper concludes with future developments to be accomplished within the Heloise network.
引用
收藏
页码:133 / 151
页数:19
相关论文
共 50 条
  • [1] Dendro: Collaborative Research Data Management Built on Linked Open Data
    da Silva, Joao Rocha
    Castro, Joao Aguiar
    Ribeiro, Cristina
    Lopes, Joao Correia
    [J]. SEMANTIC WEB: ESWC 2014 SATELLITE EVENTS, 2014, 8798 : 483 - 487
  • [2] Development of linguistic linked open data resources for collaborative dataintensive research in the language sciences
    Gillis-Webber, Frances
    [J]. JOURNAL OF LINGUISTICS, 2021, 57 (03) : 679 - 684
  • [3] Open research data in African academic and research libraries: a literature analysis
    Chiware, Elisha R. T.
    [J]. LIBRARY MANAGEMENT, 2020, 41 (6-7) : 383 - 399
  • [4] Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences: An Introduction
    Lust, Barbara C.
    Blume, Maria
    Pareja-Lora, Antonio
    Chiarcos, Christian
    [J]. DEVELOPMENT OF LINGUISTIC LINKED OPEN DATA RESOURCES FOR COLLABORATIVE DATA-INTENSIVE RESEARCH IN THE LANGUAGE SCIENCES, 2019, : IX - XXI
  • [5] PROPOSAL FOR A SHORT COLLABORATIVE RESEARCH-PROJECT IN BRITISH WOMENS HISTORY
    OLDFIELD, S
    [J]. HISTORY WORKSHOP JOURNAL, 1989, (27): : 176 - 178
  • [6] Proposal for a model of research data management service
    Sales, Luana Farias
    Sayao, Luis Fernando
    [J]. ATOZ-NOVAS PRATICAS EM INFORMACAO E CONHECIMENTO, 2022, 11 (01):
  • [7] Personal Research Agents on the Web of Linked Open Data
    Sateli, Bahar
    Witte, Rene
    [J]. LANGUAGE, DATA, AND KNOWLEDGE, LDK 2017, 2017, 10318 : 10 - 25
  • [8] RITMARE: Linked Open Data for Italian Marine Research
    Fugazza, Cristiano
    Oggioni, Alessandro
    Carrara, Paola
    [J]. ERCIM NEWS, 2014, (96): : 17 - 18
  • [9] Linked open drug data for pharmaceutical research and development
    Samwald, Matthias
    Jentzsch, Anja
    Bouton, Christopher
    Kallesoe, Claus Stie
    Willighagen, Egon
    Hajagos, Janos
    Marshall, M. Scott
    Prud'hommeaux, Eric
    Hassanzadeh, Oktie
    Pichler, Elgar
    Stephens, Susie
    [J]. JOURNAL OF CHEMINFORMATICS, 2011, 3
  • [10] Linked open drug data for pharmaceutical research and development
    Matthias Samwald
    Anja Jentzsch
    Christopher Bouton
    Claus Stie Kallesøe
    Egon Willighagen
    Janos Hajagos
    M Scott Marshall
    Eric Prud'hommeaux
    Oktie Hassanzadeh
    Elgar Pichler
    Susie Stephens
    [J]. Journal of Cheminformatics, 3