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8.12.2021 8:12 by eahyvone
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8.12.2021 8:04 by eahyvone
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- Eljas Oksanen, Heikki Rantala, Jouni Tuominen, Michael Lewis, David Wigg-Wolf, Frida Ehrnsten and Eero Hyvönen: Digital Humanities Solutions for Pan-European Numismatic and Archaeological Heritage Based on Linked Open Data
- Toby Burrows, Laura Cleaver, Doug Emery, Eero Hyvönen, Mikko Koho, Lynn Ransom, Emma Thomson and Hanno Wijsman: Medieval manuscripts and their migrations: Using SPARQL to investigate the research potential of an aggregated Knowledge Graph
- Mikko Koho , Rafael Leal, Esko Ikkala, Minna Tamper, Heikki Rantala and Eero Hyvönen: Building Lightweight Ontologies for Faceted Search with Named Entity Recognition: Case WarMemoirSampo
- Matti La Mela, Fredrik Norén and Eero Hyvönen: Digital Parliamentary Data in Action (DiPaDA 2022): Introduction
|Knowledge Extraction from Natural Language
Case Finnish (and Swedish) Texts
Knowledge Extraction from Finnish Texts
Goals of Research
In Digital Humanities (DH) the data comes in often in textual form (e.g., news, biographies, articles, novels). When publishing such content as Linked Data for DH analysis, the meaning of literal mentions of entities (such as names of persons and places), concepts, relations, events, topics, etc. have to be extracted from unstructured texts and represented as structured semantic data for the computer. In our own work, for example, such knowledge extraction has been needed when developing the Sampo series of semantic portals.
During this research, various natural language processing (NLP) tools and linguistic datasets have been developed. In our view, such tools and resources should be made openly available on the Web as web services. NLP tools and resources would be an important part of the Linked Open Data Infrastructure for Digital Humanities in Finland.
Services for NLP
More information will appear here later.
Dr. Cand. Minna Tamper, Aalto University
Prof. Eero Hyvönen, University of Helsinki (HELDIG) and Aalto