The research paths of Cultural Heritage (CH) and Artificial Intelligence (AI) have increasingly found shared interests, leading to a successful merge of these two disciplines. New applications of AI have provided opportunities to produce innovative tools for documenting, managing, and visiting cultural heritage. They make it possible to tackle cultural heritage management, adopting innovative methods with a greater awareness of the needs of operators working in this sector. We expose in this book a selection of original articles presented to AI*CH 2014 Workshop, held in Pisa (Italy). More precisely, Chapter 2 presents Semantic and Annotation, semantic web technologies to improve the structure and the usability of cultural heritage applications. The chapter discusses a semantic digital archive aimed to provide effective and efficient search and retrieval capabilities in a user-friendly way.
A domain ontology for historical research documents
ADORNI, GIOVANNI;MARATEA, MARCO;PANDOLFO, LAURA;
2016-01-01
Abstract
The research paths of Cultural Heritage (CH) and Artificial Intelligence (AI) have increasingly found shared interests, leading to a successful merge of these two disciplines. New applications of AI have provided opportunities to produce innovative tools for documenting, managing, and visiting cultural heritage. They make it possible to tackle cultural heritage management, adopting innovative methods with a greater awareness of the needs of operators working in this sector. We expose in this book a selection of original articles presented to AI*CH 2014 Workshop, held in Pisa (Italy). More precisely, Chapter 2 presents Semantic and Annotation, semantic web technologies to improve the structure and the usability of cultural heritage applications. The chapter discusses a semantic digital archive aimed to provide effective and efficient search and retrieval capabilities in a user-friendly way.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
