Mapping Art to a Knowledge Graph: Using Data for Exploring the Relations among Visual Objects in Renaissance Art
نویسندگان
چکیده
Graph-like structures, which are increasingly popular in data representation, stand out since they enable the integration of information from multiple sources. At same time, clustering algorithms applied on graphs allow for group entities based similar characteristics, and discover statistically important information. This paper aims to explore associations between visual objects Renaissance Europeana database, results topic modeling analysis. For this purpose, we employ Europeana’s Search Report API investigate relations era, spanning 14th 17th century, create clusters art objects. approach will lead transforming a cultural heritage database with semantic technologies into dynamic digital knowledge representation graph that relate their attributes. Based metadata, conduct statistic analysis utilizing
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ژورنال
عنوان ژورنال: Future Internet
سال: 2022
ISSN: ['1999-5903']
DOI: https://doi.org/10.3390/fi14070206