Federated Search in Manuscript Databases

Link:
Autor/in:
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2022
Medientyp:
Text
Schlagworte:
  • CSMC
  • UWA
  • Data Linking
  • DL01
  • RFF
  • Federated Search
  • Manuscript
  • Database
  • RFB
  • Inscribing Spaces
  • Formatting Contents
  • EpiDoc
  • Information system
  • RFD
  • Heurist
  • Federated Database System
  • Databasing on Demand
Beschreibung:
  • This presentation gives an overview about the motivation for manuscript databases. To build manuscript databases we used the database management tool Heurist which was specifically developed for the Humanities. Heurist allows you to design, populate, explore, and publish data without the need to be a programmer. To insert a large dataset in the database automatically, we developed the databasing on demand (DBoD) approach. The DBoD approach is illustrated in this presentation.

    The more databases you have, the more likely you are to find additional data that enriches the existing local information. For this, we need federated searches and a federated database system (FDBS). A FDBS is created by merging databases. Before we implemented a FDBS, we developed a simulation environment to test the communication architecture of the FDBS. But how? You will find the answer at the end of this presentation.

  • The research for this contribution was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796.
relatedIdentifier:
URL https://heuristnetwork.org/ DOI 10.5281/zenodo.6792915 URL https://ieeexplore.ieee.org/document/9773811 URL https://ieeexplore.ieee.org/document/9447055 URL https://www.fdr.uni-hamburg.de/record/9696 DOI 10.25592/uhhfdm.10288
Lizenzen:
  • https://creativecommons.org/licenses/by/4.0/legalcode
  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsdatenrepositorium der UHH

Interne Metadaten
Quelldatensatz
oai:fdr.uni-hamburg.de:10289