TY - CHAP
T1 - HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
AU - Armaselu, Florentina
AU - Apostol, Elena-Simona
AU - Khan, Anas Fahad
AU - Liebeskind, Chaya
AU - McGillivray, Barbara
AU - Truică, Ciprian-Octavian
AU - Valūnaitė Oleškevičienė, Giedrė
N1 - Publisher Copyright:
© Florentina Armaselu, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, and Giedre Valūnaite Oleškevičien e; licensed under Creative Commons License CC-BY 4.0
PY - 2021/8/1
Y1 - 2021/8/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85115084095&partnerID=8YFLogxK
U2 - 10.4230/OASIcs.LDK.2021.34
DO - 10.4230/OASIcs.LDK.2021.34
M3 - Conference paper
T3 - OpenAccess Series in Informatics
SP - 1
BT - 3rd Conference on Language, Data and Knowledge (LDK 2021)
A2 - Gromann, Dagmar
A2 - Serasset, Gilles
A2 - Declerck, Thierry
A2 - McCrae, John P.
A2 - Gracia, Jorge
A2 - Bosque-Gil, Julia
A2 - Bobillo, Fernando
A2 - Heinisch, Barbara
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ER -