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