Abstract
Heritage institutions hold rich information on cultural heritage objects involving contextual information about people, places, times, and events. This information is usually kept in institutional silos, where domain researchers often work with data across institutions. Linking entities among different institutions can enrich these data sources and, in turn, aid domain research. The aggregated version of data can be further used to infer insightful knowledge that can excel in one of the time-consuming tasks of the domain, which is provenance research. This research will first focus on entity linking across institutions to construct a Knowledge Graph representing both structured metadata of objects and the collector's biography. This work aims to use this newly formed Knowledge Graph to find interesting patterns to scale-up provenance research and analyse the effect of adding such information to the current data source. Experiments with the different modalities of data and pattern mining techniques will reveal to which extent this data enrichment places a role in finding useful knowledge for the heritage objects' provenance research.
| Original language | English |
|---|---|
| Title of host publication | ISWC-DC 2022 Proceedings of the Doctoral Consortium at ISWC 2022 |
| Subtitle of host publication | Proceedings of the Doctoral Consortium at ISWC 2022 co-located with 21st International Semantic Web Conference (ISWC 2022) Hangzhou, China, October 24, 2022 |
| Editors | Olaf Hartig, Oshani Seneviratne |
| Publisher | CEUR-WS.org |
| Number of pages | 10 |
| Publication status | Published - 2022 |
| Event | Doctoral Consortium at International Semantic Web Conference 2022, ISWC-DC 2022 - Hangzhou, China Duration: 24 Oct 2022 → … |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR Workshop Proceedings |
| Volume | 3165 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | Doctoral Consortium at International Semantic Web Conference 2022, ISWC-DC 2022 |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 24/10/22 → … |
Bibliographical note
Funding Information:This work is conducted under the Pressing Matter project ?https://pressingmatter.nl/) which is financed by the Dutch National Science Agenda ?NWA) and coordinated from the Vrije Universiteit Amsterdam. I would like to thank my supervisors, Dr Victor De Boer, Prof. Dr Jacco van Ossenbruggen and Prof. Dr. Susan Legene for their guidance and feedback.
Funding Information:
This work is conducted under the Pressing Matter project (https://pressingmatter.nl/) which is financed by the Dutch National Science Agenda (NWA) and coordinated from the Vrije Universiteit Amsterdam. I would like to thank my supervisors, Dr Victor De Boer, Prof. Dr Jacco van Ossenbruggen and Prof. Dr. Susan Legene for their guidance and feedback.
Publisher Copyright:
© 2022 Copyright for this paper by its authors.
Funding
This work is conducted under the Pressing Matter project ?https://pressingmatter.nl/) which is financed by the Dutch National Science Agenda ?NWA) and coordinated from the Vrije Universiteit Amsterdam. I would like to thank my supervisors, Dr Victor De Boer, Prof. Dr Jacco van Ossenbruggen and Prof. Dr. Susan Legene for their guidance and feedback. This work is conducted under the Pressing Matter project (https://pressingmatter.nl/) which is financed by the Dutch National Science Agenda (NWA) and coordinated from the Vrije Universiteit Amsterdam. I would like to thank my supervisors, Dr Victor De Boer, Prof. Dr Jacco van Ossenbruggen and Prof. Dr. Susan Legene for their guidance and feedback.
Keywords
- E-humanities
- Entity Linking
- Heritage Object
- Knowledge Discovery
- Knowledge Graph
- Pattern Mining
