We present here the conversion of Linguistic Linked Open Data into Semantic Maps to be used to produce contents in a set of technological applications for Cultural Heritage. The paper describes the architectural data collection and annotation procedure adopted in the Cultural Heritage Orienting Multimodal Experiences (CHROME) project (PRIN 2015 funded by Italian University and Research Ministry ). Such data will be used to let non-expert users obtain information about Architectural Heritage by means of a Multimodal Dialogue System. In particular, we design conversational agents accessing fine-detailed semantic data linked to available 3D models of historical buildings. The starting point of our scientific approach is the Getty Vocabulary on Art & Architecture Thesaurus, integrated with the Getty Thesaurus of Geographic Names (TGN) and the Union List of Artist Names (ULAN). These data are related to 3D mesh of the considered buildings in order to associate abstract concepts to architectural elements. In the field of 3D architectural survey, a significant amount of research has been conducted to allow domain experts represent semantic data while keeping spatial references. We will discuss how this will make it possible to support multimodal user interaction and generate Cultural Heritage presentations.
From Linguistic Linked Open Data to Natural Interaction: a case study / Grazioso, M; Cera, V; Di Maro, M; Origlia, O; Cutugno, F. - (2018), pp. 315-320. (Intervento presentato al convegno 2018 22nd International Conference Information Visualisation iV 2018 tenutosi a Salerno nel 2-3 luglio 2018).
From Linguistic Linked Open Data to Natural Interaction: a case study
Di Maro M;Cutugno F
2018
Abstract
We present here the conversion of Linguistic Linked Open Data into Semantic Maps to be used to produce contents in a set of technological applications for Cultural Heritage. The paper describes the architectural data collection and annotation procedure adopted in the Cultural Heritage Orienting Multimodal Experiences (CHROME) project (PRIN 2015 funded by Italian University and Research Ministry ). Such data will be used to let non-expert users obtain information about Architectural Heritage by means of a Multimodal Dialogue System. In particular, we design conversational agents accessing fine-detailed semantic data linked to available 3D models of historical buildings. The starting point of our scientific approach is the Getty Vocabulary on Art & Architecture Thesaurus, integrated with the Getty Thesaurus of Geographic Names (TGN) and the Union List of Artist Names (ULAN). These data are related to 3D mesh of the considered buildings in order to associate abstract concepts to architectural elements. In the field of 3D architectural survey, a significant amount of research has been conducted to allow domain experts represent semantic data while keeping spatial references. We will discuss how this will make it possible to support multimodal user interaction and generate Cultural Heritage presentations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.