> Details

Armaselu, Florentina [Author]; Apostol, Elena-Simona [Author]; Khan, Anas Fahad [Author]; Liebeskind, Chaya [Author]; McGillivray, Barbara [Author]; Truică, Ciprian-Octavian [Author]; Valūnaitė Oleškevičienė, Giedrė [Author] ; Florentina Armaselu and Elena-Simona Apostol and Anas Fahad Khan and Chaya Liebeskind and Barbara McGillivray and Ciprian-Octavian Truică and Giedrė Valūnaitė Oleškevičienė [Contributor]

HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: Text; Electronic Conference Proceeding; E-Article
  • Title: HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
  • Contributor: Armaselu, Florentina [Author]; Apostol, Elena-Simona [Author]; Khan, Anas Fahad [Author]; Liebeskind, Chaya [Author]; McGillivray, Barbara [Author]; Truică, Ciprian-Octavian [Author]; Valūnaitė Oleškevičienė, Giedrė [Author]
  • imprint: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021
  • Language: English
  • DOI: https://doi.org/10.4230/OASIcs.LDK.2021.34
  • Keywords: linguistic linked open data ; semantic change ; digital humanities ; diachronic ontologies ; natural language processing
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: 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.
  • Access State: Open Access