A Knowledge-Based Framework for Events Representation and Reuse from Historical Archives

Conference paper

DOI: 10.1007/978-3-319-34129-3_53

Volume 9678 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Rovera M. (2016) A Knowledge-Based Framework for Events Representation and Reuse from Historical Archives. In: Sack H., Blomqvist E., d'Aquin M., Ghidini C., Ponzetto S., Lange C. (eds) The Semantic Web. Latest Advances and New Domains. ESWC 2016. Lecture Notes in Computer Science, vol 9678. Springer, Cham

Abstract

Thanks to the digitization techniques, historical archives become source of a considerable amount of biographical, factual and geographical data, that need to be structured in order to be usable in higher-level applications. In this paper we present the project of an ontology-based framework aimed at formally representing and extracting historical events from archives; this process should serve to the purpose of (semi)-automatically building narratives that allow users to explore the archives themselves. This proposal refers to a Ph.D. research at early stage and is part of a wider project, Harlock’900, established between the Computer Science department of the University of Turin and the Istituto Gramsci, a cultural foundation promoting research in contemporary history.

Keywords

Historical events Ontology modeling Events extraction 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversità di TorinoTurinItaly