2026-08-15T13:56:52Zhttps://iris.cnr.it/oai/request

oai:iris.cnr.it:20.500.14243/5911062026-08-08T01:24:29Zcom_20.500.14243_46com_20.500.14243_21col_20.500.14243_47ou_ou239

Integrating TEI Publication, Guided Exploration, and Vector Databases for Semantic Search in the Voci dall’Inferno Project Del Grosso, Angelo Mario Mercatanti, Elvira Congiu, Carla Riccucci, Marina Isuri Anuradha and Martin Wynne Del Grosso, Angelo Mario Mercatanti, Elvira Congiu, Carla Riccucci, Marina sentence similarity web application eXist-db TEI-based digital archives Divine Comedy This paper presents recent advances toward an integrated framework that combines TEI-based digital publishing with embedding-based semantic search to support the preservation, exploration and analysis of Holocaust survivor testimonies. The corpus includes written and oral sources and preserves them within a XML-TEI model supported by an ODD customization that preserves provenance, structure and interpretability. A dedicated web application developed within the eXistdb platform provides guided access to the digital corpus and supports the management, visualization, and exploration of the encoded data. The project aims to investigate a specific research goal: to verify the presence of references to the Divine Comedy by Dante within Holocaust testimonies. To this end, we implement a semantic retrieval component based on SentenceTransformers’ embeddings and a vector database, enabling the discovery of both literal and non-literal Dantean passages within the testimonies. The paper presents the advances achieved toward this objective and the ethical constraints shaping access policies, resulting in a sustainable archive and a reproducible methodology for intertextual research in sensitive historical collections. 2026 info:eu-repo/semantics/conferenceObject https://hdl.handle.net/20.500.14243/591106 10.63317/2axve8uynrdb https://lrec.elra.info/lrec2026-ws-htres-01 eng ispartofbook:Proceedings of The Second Workshop on Holocaust Testimonies as Language Resources (HTRes) @ LREC 2026 Language Resources and Evaluation Conference firstpage:1 lastpage:11 numberofpages:11 serie:LREC proceedings info:eu-repo/semantics/openAccess Language Resources Association (ELRA) license:Creative commons license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/