Reference : HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Hum...
Scientific journals : Article
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/47894
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
English
Armaselu, Florentina mailto [University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography >]
Apostol, Elena-Simona mailto [University Politehnica of Bucharest, Romania > Department of Computer Science and Engineering]
Khan, Anas Fahad mailto [National Research Council of Italy, Italy > Institute for Computational Linguistics «A. Zampolli»]
Liebeskind, Chaya mailto [Jerusalem College of Technology, Israel > Department of Computer Science]
McGillivray, Barbara mailto [The Alan Turing Institute, United Kingdom]
Truică, Ciprian-Octavian mailto [University Politehnica of Bucharest, Romania > Department of Computer Science and Engineering]
Valūnaitė Oleškevičienė, Giedrė mailto [Mykolas Romeris University, Lithuania > Institute of Humanities]
30-Aug-2021
Open Access Series in Informatics
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
93
2021
3rd Conference on Language, Data and Knowledge (LDK 2021)
34:1-34:13
Yes (verified by ORBilu)
International
2190-6807
Dagstuhl
Germany
[en] linguistic linked open data ; natural language processing ; semantic change ; diachronic ontologies ; digital humanities
[en] The paper proposes an interdisciplinary approach including methods from disciplines such as history of concepts, linguistics, natural language processing (NLP) and Semantic Web, to create a comparative framework for detecting semantic change in multilingual historical corpora and generating diachronic ontologies as linguistic linked open data (LLOD). Initiated as a use case (UC4.2.1) within the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, the study will explore emerging trends in knowledge extraction, analysis and representation from linguistic data science, and apply the devised methodology to datasets in the humanities to trace the evolution of concepts from the domain of socio-cultural transformation. The paper will describe the main elements of the methodological framework and preliminary planning of the intended workflow.
COST Action
Nexus Linguarum, European network for Web-centred linguistic data science
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/47894
10.4230/OASIcs.LDK.2021.34
https://drops.dagstuhl.de/opus/volltexte/2021/14570
Creative Commons Attribution 4.0 license (CC BY 4.0)

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
OASIcs-LDK-2021-34.pdfPublisher postprint949.13 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.