Silk played an important role in European history, mostly along the Western Silk Road’s network of production and market centres. Although many European specialized museums are devoted to its preservation, they usually lack size and resources to establish networks or connections with other collections. The H2020 SILKNOW project (Silk heritage in the Knowledge Society: from punched card to Big Data, Deep Learning and visual/tangible simulations) aims to produce an intelligent computational system in order to improve our understanding of European silk heritageThe SILKNOW platformThe poster introduces the scope and goals of the H2020 SILKNOW project and presents some of the functionalities offered by the online platform. The platform has been designed to freely and easily give access to a wide variety of aggregated datasets, describing silk-related artefacts produced in Europe between the 15th and the 19th century, and preserved in Cultural Heritage Institutions (CHIs) around the world.The definition of the SILKNOW ontologyThis computational system is modeled and trained thanks to datasets crawled by SILKNOW from online databases of CHIs, or provided by them. To aggregate these various datasets, it is necessary to harmonize them by designing and implementing a unique and complete data model. This data model is based on the CIDOC Conceptual Reference Model (CIDOC-CRM). The classes and properties selected for the SILKNOW data model are publicly accessible and documented via OntoMe, an ontology management system, developed by the LARHRA research center (http://ontome.dataforhistory.org/). After evaluating the goodness of the ontology by providing mapping rules between CHI’s metadata records and the SILKNOW ontology, we observed that all fields can be represented by using existing classes and properties from the SILKNOW ontology so far. A CRM extension to describe the production process of silk artefacts CIDOC-CRM is also a core ontology with more specialist extensions. In other words, it is possible to add new subclasses and sub-properties to express more specific relationships and properties, without modifying the basic structure of the model.The complex modeling of the semantics included in data about the creative and productive process of silk textiles cannot accurately be mapped with the SILKNOW ontology. Free-text fields are generally used by CHIs to analyse the structure and the decoration of the fabrics, or to present the historical context of their production or their use. This first mapping aimed at storing these metadata “as they are”. The more complex modeling of the semantics included in data about the creative and productive process of silk textiles requires elaborating new classes and properties. There is yet no CRM extension for dealing with the production of textile artefacts, something similar to FRBRoo, for the creation, production and expression process in literature and the performing arts. We present the CRM extension we are currently elaborating for this purpose. A complete overview of these new classes and properties is publicly available via Ontome : http://ontome.dataforhistory.org/profile/10
If this content appears in violation of your intellectual property rights, or you see errors or omissions, please reach out to Scott B. Weingart to discuss removing or amending the materials.
Hosted at Carleton University, Université d'Ottawa (University of Ottawa)
Ottawa, Ontario, Canada
July 20, 2020 - July 25, 2020
475 works by 1078 authors indexed
Conference cancelled due to coronavirus. Online conference held at https://hcommons.org/groups/dh2020/. Data for this conference were initially prepared and cleaned by May Ning.
Conference website: https://dh2020.adho.org/
Series: ADHO (15)