Modeling and Using an Actor Ontology of Second World War Military Units and Personnel

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • University of Helsinki

Abstract

This paper presents a model for representing historical military personnel and army units, based on large datasets about World War II in Finland. The model is in use in WarSampo data service and semantic portal, which has had tens of thousands of distinct visitors. A key challenge is how to represent ontological changes, since the ranks and units of military personnel, as well as the names and structures of army units change rapidly in wars. This leads to serious problems in both search as well as data linking due to ambiguity and homonymy of names. In our solution, actors are represented in terms of the events they participated in, which facilitates disambiguation of personnel and units in different spatio-temporal contexts. The linked data in the WarSampo Linked Open Data cloud and service has ca. 9 million triples, including actor datasets of ca. 100 000 soldiers and ca. 16 100 army units. To test the model in practice, an application for semantic search and recommending based on data linking was created, where the spatio-temporal life stories of individual soldiers can be reassembled dynamically by linking data from different datasets. An evaluation is presented showing promising results in terms of linking precision.

Details

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II
EditorsClaudia d'Amato, Miriam Fernandez, Valentina Tamma, Freddy Lecue, Philippe Cudré-Mauroux, Juan Sequeda, Christoph Lange, Jeff Heflin
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Semantic Web Conference - Vienna, Austria
Duration: 21 Oct 201725 Oct 2017
Conference number: 16

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10588
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Semantic Web Conference
Abbreviated titleISWC
CountryAustria
CityVienna
Period21/10/201725/10/2017

    Research areas

  • Semantic web , Linked open data, Actor ontology, Digital humanities , Biographic representation

ID: 16820918