Data Linking Infrastructure – Foundations and Architecture

Funded by DFG

Runtime: 01.01.2019 - 31.12.2025

Principal Investigator: 

Research Associates: 

Project Description

A data linking infrastructure is envisioned to support humanities scholars from all research fields of the Cluster of Excellence "Understanding Written Artefacts” such that various kinds of data can be easily and systematically combined to foster scientific progress. On the one hand, there are images and videos of written artefacts, in some cases associated with text data making parts of image (or video) content explicit, e.g., using optical character recognition techniques. On the other hand, different kinds of chemistry and materials science data are collected to further describe written artefacts under investigation, almost always in combination with descriptive temporal and spatial data. Data of this kind must be made available to humanities scientists such that they are best supported in their scientific work. Publications from humanities projects will refer to artefact data of the kind described above, and, after a while, artefact data are referenced in quite some number of natural language publications resulting from scientific work in humanities projects, e.g., journal articles, conference papers, and PhD theses. Publications are provided as documents, which are represented, e.g., as PDF data. Further natural language data comes from existing humanities research databases. All data can be described in an appropriate way using suitable metadata formalisms (date of creation, author, etc.). In addition, and different from metadata, all kinds of base data (also called raw data) might be extended with derived data, with which certain features are made explicit (e.g., for supporting visualization, for information retrieval, or for other research efforts).

Link to Project Details

https://www.csmc.uni-hamburg.de/research/cluster-projects/field-f/rff01.html

Activities

Editorial

  • S. Melzer, J. Gippert, S. Thiemann, H. Peukert: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2021), CEUR Workshop Proceedings, 2022 (proceedings)
  • S. Melzer, S. Thiemann, H. Peukert: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2022), CEUR Workshop Proceedings, 2022 (proceedings)
  • S. Melzer, H. Peukert, S. Thiemann: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2023), CEUR Workshop Proceedings, 2023 (proceedings)

Organisation

Publications

2018

Simon Schiff, Özgür Lütfü Özçep, and Ralf Möller,
Ontology-based Data Access to Big Data, Open Journal of Databases (OJDB) , vol. 6, pp. 21--32, 2018.
Bibtex: BibTeX
@article{schiff18OBDA,
Author = {Simon Schiff and {\"O}zg\"ur L. \"{O}z\c{c}ep and Ralf {M\"oller}},
Title = {Ontology-based Data Access to Big Data},
Journal = {Open Journal of Databases (OJDB)},
Year = {2018},
Volume = {6},
Issue={1},
Pages = {21--32},
Note = {Postproceeding of Hidest'18}
}

2014

Sylvia Melzer, R. God, T. Kiehl, Ralf Möller, and M. Wessel,
Tag des Systems Engineering, Carl Hanser Verlag, 2014, pp. 279--288.
Bibtex: BibTeX
@InBook{MGKMW:2014,
  author = 	 {S. Melzer and R. God and T. Kiehl and R. M{\"o}ller and M. Wessel},
  chapter = 	 {{Identifikation von Varianten durch Berechnung der semantischen Differenz von Modellen}},
  title = {Tag des Systems Engineering},
  year = 	 {2014},
	pages = {279--288},
	publisher = {Carl Hanser Verlag}
}