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- Annastiina Ahola, Eero Hyvönen, Heikki Rantala, Rafael Leal and Anne Kauppala: Digital Humanities on the Semantic Web for visual, literary, and performing arts: Demonstrating ArtSampo, BookSampo, and OperaSampo Linked Open Data services and semantic portals
- Sarah Binta Alam Shoilee, Annastiina Ahola, Heikki Rantala, Eero Hyvönen, Victor de Boer, Jacco van Ossenbruggen and Susan Legene: Enhancing Provenance Research with Linked Data: A Visual Approach to Knowledge Discovery
- Rafael Leal, Annastiina Ahola and Eero Hyvönen: Enriching Metadata with LLMs and Knowledge Graphs: Case Finnish Named Entity Linking
- Eero Hyvönen, Petri Leskinen, Henna Poikkimäki, Heikki Rantala, Jouni Tuominen, Senka Drobac, Ossi Koho, Ilona Pikkanen and Hanna-Leena Paloposki: LetterSampo Finland (1809–1917) Data Service and Portal: Searching, Exploring, and Analyzing Historical Letters and Their Underlying Networks
| SampoSampo: Connecting Everything to Everything Else |
Leonardo da Vinci (1452-1519) has said: "Learn how to see. Realize that everything connects to everything else". This wisdom is very true regarding Cultural Heritage (CH) data due to its rich linkedness, and regarding Linked Open Data (LOD), where enriching data by linking is the great underlying promise. SampoSampo - "the Mother of other Sampos and beyond" aims to adress the challenge set by Leonardo da Vinci by interlinking data about historical Finnish people, organizations, places, and events from a variety of other Sampo systems including
- AcademySampo,
- BiographySampo,
- BookSampo,
- Vanhat Norssit Sampo,
- LetterSampo Finland (1809-1917),
- ArtSampo,
- WarSampo,
- ParliamentSampo, and
- OperaSampo,
and various other data sources:
- Wikidata,
- KANTO authority files,
- YSO Places,
- ISNI,
- Wikipedia,
- Geneanet and Geni genealogy services,
- WikiTree,
- ULAN registry provided by Getty Research, and
- HISTO - Finnish history ontology.
Problem statement
Exposing and learning the connections (links) between resources in CH LOD for researchers and the public to study and learn is a difficult: 1) The data are typically available in distributed data silos. 2) The data is heterogeneous based on different data models. 3) Different identifiers for entities are used for the same entities in different data silos, which cuts off links and connections.
The SampoSampo project and its outcome, the SampoSampo LOD service and semantic portal, address the problem of finding connections between entities in distributed heterogeneous knowledge graphs (KG) to enrich data for Digital Humanities (DH) research. More specifically, the research problems addressed are:
- How to search and link data about entities from different KGs in a LOD cloud?
- For enriched descriptions about entities, such as persons, organizations, places, and events.
- For finding possibly conflicting information about the entities in data sources.
- How to search for relations between entities within and across KGs?
- For finding out, e.g., how people are related to places or each other.
- For knowledge discovery of “interesting” or even “serendipitous” connections.
- How to create a LOD service needed in applications addressing the questions 1-2 above?
- How to create an application on top of the data service that is defined in the question 3 above?
Solution Approach
In the SampoSampo project the Sampo series of mutually related CH LOD services and semantic portals based on the so-called Sampo model are considered. The Sampo model itself is used to establish an entity alignment LOD service on top of which a meta-level Sampo, SampoSampo, is created, based on different Sampo systems and related datasets and KGs. For searching entities globally, faceted semantic search on aligned entities is used, and for searching and discovering new connections between entities, faceted search is applied to knowledge-based relational search on explainable connections between entities, a step toward the "Web of Wisdom".
The SampoSampo is part of the national FIN-CLARIAH research infrastructure in Finland, and will be published by the end of the year 2025.
Research Team at the Aalto University and University of Helsinki
- Prof. Eero Hyvönen, Aalto University (SeCo) and University of Helsinki (HELDIG) (PI)
- Dr. Petri Leskinen, Aalto University (SeCo)
- MSc Heikki Rantala, Aalto University (SeCo)
- MSc Annastiina Ahola, Aalto University (SeCo)
- Dr. Jouni Tuominen, University of Helsinki, HELDIG and HSSH (SeCo)
