The core message of this article is to present the workflow adopted for the re-valorization of the digital collection Mythologiae through the use of semantic technologies, with the aim of ensuring the preservation of metadata and formalizing the specific needs of the dataset to enrich its knowledge potential.
The authors aim to construct a knowledge graph for Brazilian history by mapping entities from the Brazilian Dictionary of Historical Biographies (DHBB) to Wikidata, the largest structured database of entities associated with Wikipedia. They find that many DHBB entities are not present in Wikidata, highlighting the need to complete Wikidata with information from this valuable historical resource.
CHisIEC is a meticulously curated dataset designed to develop and evaluate NER and RE tasks, offering a resource to facilitate research in the field of ancient Chinese history.
CHisIEC provides a meticulously curated dataset for NER and RE tasks in ancient Chinese history, facilitating research in the field.
The author proposes a Multimodal Multitask Restoring Model (MMRM) to restore ancient texts, emphasizing ideographs, by combining context understanding with residual visual information. This pioneering application of multimodal deep learning in ancient text restoration aims to contribute to digital humanities fields.