EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph

Research on notable accomplishments and important events in the life of people of public interest usually requires close reading of long encyclopedic or biographical sources, which is a tedious and time-consuming task. Whereas semantic reference sources, such as the EventKG knowledge graph, provide structured representations of relevant facts, they often include hundreds of events and temporal relations for particular entities. In this paper, we present EventKG+BT - a timeline generation system that creates concise and interactive spatio-temporal representations of biographies from a knowledge graph using distant supervision.Comment: ESWC 2020 Satellite Events pp 91-9

Knowledge-based Relational Search in Cultural Heritage Linked Data

Peer reviewe

Biografiasampo yhdistää ja rikastaa suomalaiset elämäkerrat linkitettynä datana semanttisessa webissä (Biographysampo links and enriches Finnish biographies as linked data on the Semantic Web

In pressNon peer reviewe

Akatemiasampo-portaali ja -datapalvelu henkilöiden ja henkilöryhmien historialliseen tutkimukseen (AcademySampo Portal and Data Service for Biographical and Prosopographical Research)

Non peer reviewe

Rediscovering Ranganathan: A Prismatic View of His Life through the Knowledge Graph Spectrum

The present study puts forward a novel biographical knowledge graph (KG) on Prof. S. R. Ranganathan, one of the pioneering figures in the Library and Information Science (LIS) domain. It has been found that most of the relevant facts about Ranganathan exist in a variety of resources (e.g., books, essays, journal articles, websites, blogs, etc.), offering information in a fragmented and piecemeal way. With this dedicated KG (henceforth known as RKG), we hope to furnish a 360-degree view of his life and achievements. To the best of our knowledge, such a dedicated representation is unparalleled in its scope and coverage: using state-of-the-art technology for anyone to openly access, use/re-use, and contribute. Inspired by Ranganathan's theories and ideas, the KG was developed using a "facet-based methodology" at two levels: in the identification of the vital biographical aspects and the development of the ontological model. Finally, with this study, we call for a community-driven effort to enhance the KG and pay homage to the Father of Library Science on the hundredth anniversary of his revitalizing the LIS domain through his enduring participation.Comment: 22 pages, 16 figure

Identifying Best Practice in Recording Copy-Specific Elements in Special Collections Cataloging

This paper considers various approaches to the practice of copy-specific descriptive cataloging in rare books and special collections and seeks to identify how practice can be improved to ensure greater discoverability. Through applying a survey method, it identifies some of the core requirements of library professionals and researchers working with these materials and proposes solutions toward the standardization of this practice

BiographySampo – Publishing and enriching biographies on the semantic web for digital humanities research

This paper argues for making a paradigm shift in publishing and using biographical dictionaries on the web, based on Linked Data. The idea is to provide the user with enhanced reading experience of biographies by enriching contents with data linking and reasoning. In addition, versatile tooling for (1) biographical research of individual persons as well as for (2) prosopographical research on groups of people are provided. To demonstrate and evaluate the new possibilities, we present the semantic portal “BiographySampo – Finnish Biographies on the Semantic Web”. The system is based on a knowledge graph extracted automatically from a collection of 13 100 textual biographies, enriched with data linking to 16 external data sources, and by harvesting external collection data from libraries, museums, and archives. The portal was released in September 2018 for free public use at http://biografiasampo.fi.Peer reviewe