Affiliation:
1. Dipartimento di Informatica, Università di Torino, Torino, Italy
Abstract
This article relies on the idea that a semantically rich metadata layer is required in order to provide an effective, intelligent, and engaging access to historical archives. However, building such a semantic layer represents a well-known bottleneck that can be overcome only by a hybrid strategy, integrating user-generated content and automatic techniques. The PRiSMHA project provides a contribution in this direction with the design and development of the prototype of an ontology-driven platform supporting users in semantic metadata generation. In particular, the main contribution of this article is to show how automatic information extraction techniques (namely, Named Entity and Temporal Expression Recognition) and information retrieved from external datasets in the LOD cloud can support users in the identification and characterization of new entities to annotate documents with.
Funder
Compagnia di San Paolo Foundation and Università di Torino
PRiSMHA
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Information Systems,Conservation
Reference48 articles.
1. Interacting with digital cultural heritage collections via annotations
2. W. Z. Alma aitah, A. Z. Talib, and M. A. Osman. 2020. Opportunities and challenges in enhancing access to metadata of cultural heritage collections: A survey. Artificial Intelligence Review 53 (2020), 3621–3646.
3. A classification of semantic annotation systems
4. A. P. Aprosio and G. Moretti. 2016. Italy goes to Stanford: A collection of CoreNLP modules for Italian. arXiv preprint arXiv:1609.06204.
5. DBpedia: A Nucleus for a Web of Open Data