Integration and federation of LOD resources: cross-domain modeling of humanities knowledge

The sub-project is intended to provide methodological and conceptual support by developing one or more data models for specialist knowledge in the humanities in consultation with the other TPs involved in the network and facilitating their integration into the common knowledge graph. In terms of the formal description of knowledge, the techniques commonly used to organize and represent knowledge, such as catalogs, glossaries, taxonomies, classifications, thesauri, semantic networks, ontologies and frames, are tested for their applicability in the respective project situations. The approach is modular, i.e. a distinction is made between cross-domain and domain-specific entities and predicates.

TP7 Cross-cutting project: Integration and federation of LOD resources: Cross-domain modeling of specialist knowledge in the humanities

The sub-project is intended to provide methodological and conceptual support by developing one or more data models for specialist knowledge in the humanities in consultation with the other sub-projects involved in the network and enabling their integration into the common knowledge graph. In terms of the formal description of knowledge, the techniques commonly used to organize and represent knowledge, such as catalogs, glossaries, taxonomies, classifications, thesauri, semantic networks, ontologies and frames, are tested for their applicability in the respective project situations. The approach is modular, i.e. a distinction is made between cross-domain and domain-specific entities and predicates. There will have to be a comparatively limited number of cross-domain, relatively generic entities and predicates that can be easily mapped to existing ontologies (e.g. person, place, publication, discipline, century, country or continent as entities or “is_creator” and “instance_of” as predicates). In addition, however, a larger number of domain-specific entities and predicates will be necessary, which are to be thought of as discipline-specific modules and must refer to the subject-specific terminology (methods, procedures, epochs, subdomains, phenomena) and require appropriate representation techniques in each case. With the aim of networking the results from the sub-projects, methods will be developed - in close cooperation with the INF project - to integrate the data models into the central infrastructure of LODinG, to establish mappings between the project's own data model and other standard data sets and to create or optimize the prerequisites for federated queries (which operate across several knowledge graphs).

References

Färber, Michael, and Achim Rettinger. “Which Knowledge Graph Is Best for Me?,” 2018. https://doi.org/10.48550/ARXIV.1809.11099.

Harth, Andreas, Katja Hose, and Ralf Schenkel, eds. Linked Data Management. Emerging Directions in Database Systems and Applications. Boca Raton, FL: CRC Press, 2014.

Liu, F., J. Hindmarch, and M. Hess. “A Review of the Cultural Heritage Linked Open Data Ontologies and Models.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-2–2023 (June 24, 2023): 943–50. https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-943-2023.

Rossenova, Lozana, Paul Duchesne, and Ina Blümel. “Wikidata and Wikibase as Complementary Research Data Management Services for Cultural Heritage Data.” Proceedings of the 3rd Wikidata Workshop 2022 Co-Located with the 21st International Semantic Web Conference (ISWC2022), 2023, 15. https://doi.org/10.25968/OPUS-2573.

Schöch, Christof, Maria Hinzmann, Julia Röttgermann, Katharina Dietz, and Anne Klee. “Smart Modelling for Literary History.” International Journal of Humanities and Arts Computing 16, no. 1 (March 2022): 78–93. https://doi.org/10.3366/ijhac.2022.0278.

Shimizu, Cogan, Karl Hammar, and Pascal Hitzler. “Modular Ontology Modeling.” Edited by Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. Semantic Web 14, no. 3 (April 5, 2023): 459–89. https://doi.org/10.3233/SW-222886.

Suárez Cronauer, Elena, Laura Fath, Aline Deicke, Jochen Strobel, Sandra Weyand, and Thomas Burch. “Korrespondenzen Der Frühromantik: Kontrollierte Vokabulare Zur Analyse von Kommunikation Und Wissenstransfer Für Das Semantic Web,” March 10, 2023. https://doi.org/10.5281/ZENODO.7715505.

Zhao, Fudie. “A Systematic Review of Wikidata in Digital Humanities Projects.” Digital Scholarship in the Humanities 38, no. 2 (December 28, 2022): 852–74. https://doi.org/10.1093/llc/fqac083.

 

Team

  • Prof. Dr. Ralf Schenkel
  • Prof. Dr. Achim Rettinger
  • Dr. Thomas Burch
  • Dr. Maria Hinzmann

Project Activities

Talks

- Maria Hinzmann, Julia Röttgermann. „Bidirectional Federated Queries on MiMoTextBase and Wikidata”, WikiMUC/Federated Queries Workshop, 05.-06.12.2024, München.

- Maria Hinzmann, Julia Röttgermann, Christof Schöch, Johanna Konstanciak, Tinghui Duan, Matthias Bremm, Anne Klee, Joëlle Weis: „Federated Queries for Literary Studies: Querying Wikidata via the MiMoTextBase and the other way around“, Conference Linked Open Data and Literary Studies, 19.-20.11.2024, Freie Universität Berlin.

- Maria Hinzmann, “Atomizing Literary History in the Linked Open Data Paradigm”, Workshop Modeling Literary History, 06.11.2024, Würzburg.

Publications

- Hinzmann, Maria, Matthias Bremm, Tinghui Duan, Anne Klee, Johanna Konstanciak, Julia Röttgermann, Christof Schöch, and Joëlle Weis. “Patterns in Modeling and Querying a Knowledge Graph for Literary History [Preprint].” Zenodo, June 18, 2024. https://doi.org/10.5281/zenodo.12080340.

- Kabatnik, Susanne, Anne Klee, Maria Hinzmann, Claudia Bamberg, Frank Queens, Thomas Burch (accepted): “Linked Open Data als neues geisteswissenschaftliches Paradigma? Zu einer aktuellen Debatte in den Digital Humanities am Beispiel des ‚Pandemictionary‘“. In From Global to Local? Digitale Methoden in den Geisteswissenschaften im deutschsprachigen Raum: Ein Triptychon, edited by Ulrike Wuttke, Melanie Seltmann, Christopher Nunn, Anne Baillot, Christian Schröter und Christian Wachter.

- Kudera, Jacek, Claudia Bamberg, Thomas Burch, Folke Gernert, Maria Hinzmann, Susanne Kabatnik, Claudine Moulin, Benjamin Raue, Achim Rettinger, Jörg Röpke, Ralf Schenkel, Kristin Shi-Kupfer, Doris Schirra, Christof Schöch, Joëlle Weis. “LODinG: Linked Open Data in the Humanities.” In Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024, edited by Christian Chiarcos, Katerina Gkirtzou, Maxim Ionov, Fahad Khan, John P. McCrae, Elena Montiel Ponsoda, and Patricia Martín Chozas, 49–54. Torino, Italia: ELRA and ICCL. https://aclanthology.org/2024.ldl-1.7.

- Kudera, Jacek, Claudia Bamberg, Thomas Burch, Folke Gernert, Maria Hinzmann, Susanne Kabatnik, Claudine Moulin, Benjamin Raue, Achim Rettinger, Jörg Röpke, Ralf Schenkel, Kristin Shi-Kupfer, Doris Schirra, Christof Schöch, Joëlle Weis: “Linked Open Data in the Humanities: The LODinG Project”, Wikimania 2024, 7-10 August 2024, Katowice, Poland. [Poster]

Membership

- DARIAH-Working Group DH Wiki (Maria Hinzmann)

- Mitglied der NFDI-Working Group „MoU Ontology harmonization” (Maria Hinzmann)