%0 Generic %1 Günther2010 %A Görz, Günther %A Scholz, Martin %D 2010 %J Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces %K transformer_model conversational_AI dialogue_systems AVA_security posted_with_chatgpt %P 79-84 %R 10.2498/cit.1001918 %T Adaptation of NLP techniques to cultural heritage research and documentation %U https://www.semanticscholar.org/paper/d2c1f493ad38a3f38fe86329426580c46000d6b6 %X The WissKI system provides a framework for ontology-based science communication and cultural heritage documentation. In many cases, the documentation consists of semi-structured data records with free text fields. Most references in the texts comprise of person and place names, as well as time specifications. We present the WissKI tools for semantic annotation using controlled vocabularies and formal ontologies derived from CIDOC Conceptual Reference Model (CRM). Current research deals with the annotations as building blocks for event recognition. Finally, we outline how the CRM helps to build bridges between documentation in different scientific disciplines.

@JournalArticle{Günther2010, abstract = {The WissKI system provides a framework for ontology-based science communication and cultural heritage documentation. In many cases, the documentation consists of semi-structured data records with free text fields. Most references in the texts comprise of person and place names, as well as time specifications. We present the WissKI tools for semantic annotation using controlled vocabularies and formal ontologies derived from CIDOC Conceptual Reference Model (CRM). Current research deals with the annotations as building blocks for event recognition. Finally, we outline how the CRM helps to build bridges between documentation in different scientific disciplines.}, added-at = {2023-11-23T18:23:59.000+0100}, author = {Görz, Günther and Scholz, Martin}, biburl = {https://www.bibsonomy.org/bibtex/294c444e301c1aa8ec399eb6b89404d09/sarahajjib}, day = 21, description = {The Transformer model introduced in this paper is crucial in developing dynamic dialogue systems for AVAs, enhancing conversational AI capabilities.}, doi = {10.2498/cit.1001918}, interhash = {d290d7d8cd0cbc558afdc4fbe90e9ab1}, intrahash = {94c444e301c1aa8ec399eb6b89404d09}, journal = {Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces}, keywords = {transformer_model conversational_AI dialogue_systems AVA_security posted_with_chatgpt}, month = {6}, pages = {79-84}, timestamp = {2023-11-23T18:23:59.000+0100}, title = {Adaptation of NLP techniques to cultural heritage research and documentation}, url = {https://www.semanticscholar.org/paper/d2c1f493ad38a3f38fe86329426580c46000d6b6}, year = 2010 }