- Esko Ikkala Gets MSc Thesis Award
Esko Ikkala’s MSc Thesis “Finnish Ontology Service of...
15.4.2017 11:00 by eahyvone
- Heldig Kick-off Symposium
Together with the University Helsinki, SeCo participated in organizing...
9.10.2016 11:11 by eahyvone
- Professor Eero Hyvönen appointed as the new director of Heldig, Helsinki Centre for Digital Humanities
He will continue also as a professor in Aalto and direct SeCo. This...
27.8.2016 15:11 by eahyvone
- Kasper Apajalahti, Eero Hyvönen, Juha Niiranen, Vilho Räisänen: Combining ontological modelling and probabilistic reasoning for network management
- Eero Hyvönen: Cultural Heritage Linked Data on the Semantic Web: Three Case Studies Using the Sampo Model
- Kasper Apajalahti, Juha Niiranen, Vilho Räisänen: Sharing Performance Measurement Events Across Domains
- Eero Hyvönen: Digitaalisten ihmistieteiden keskus HELDIG käynnisti toimintansa (Digital Humanities Centre HELDIG Started Operations)
Semantic Biographies Based on Linked Data
We aim at developing methods and infrastructure for representing biographical narratives using Linked Data, as well as practical demonstrators in which usefulness of the new technology is tested and shown. The general idea is provide the reader with a richer reading experience by providing her texts with additional linked contextual information, such as the space and time of biographical events, and links to related persons, historical events, publications, paintings etc. Biographical data can also be used as a basis for Digital Humanities research, where e.g. networks of people are studied.
As a first experiment, the Semantic National Biography based on 6300 short biographies of the National Biography of the Finnish Literature Society was created with an online demo and a research paper (cf. Publications section below).
Research on biographical data is also of concern in the Reassembling the Republic of Letters project where SeCo leads the People and Networks Work Package, as well as in the Cultures of Knowledge project where we collaborate with University of Oxford and Stanford University regarding research on epistolary data of people active during the early modern period.
These projects were/are funded by Tekes and the Linked Data Finland consortium, and by the EU COST Office and Mellon Foundation.
Bio CRM: A Data Model for Representing Biographical Information for Prosopography
One of the results of the project is Bio CRM, a conceptual reference model for representation of biographical information, with focus on prosopographical research. Bio CRM provides a semantic data model for harmonizing and interlinking heterogeneous data from different biographical data sources. The model includes structures for basic data of people, personal relations, professions, and events with participants in different roles.
The core design principles of the data model are:
- The model is a domain specific extension of CIDOC CRM, making it applicable to not only biographical data but to other CH data, too.
- The model makes a distinction between enduring unary roles of actors, their enduring binary relationships, and perduing events, where the participants can take different roles modeled as a role concept hierarchy.
- The model can be used as a basis for semantic data validation and enrichment by reasoning.
- The enriched data conforming to Bio CRM is targeted to be used by SPARQL queries in a flexible ways using a hierarchy of roles in which participants can be involved in events.
See more information about Bio CRM in the working paper.
Prof. Eero Hyvönen, Aalto University
Dr Eetu Makelä, Aalto University
MSc Jouni Tuominen, Aalto University