Cultural Heritage

Knowledge Graphs for Cultural Heritage

metaphacts has built a domain optimized solution delivering an agile application for search, annotation and visualization for humanities and cultural heritage research. The solution provides a collaborative platform using knowledge representation and Semantic Web technologies. It tackles the challenges faced by art historians, curators, conservators, and scientists on a daily basis, and supports them in authoring and publishing cultural heritage data.

The Approach - A CIDOC CRM-based System

To enable the integration of data from various sources and at the same time allow for the data to retain its individual characteristics, original meaning and perspective, the application uses the CIDOC Conceptual Reference Model as the knowledge representation system, together with its official extensions. It is the first productive solution which successfully integrates the CIDOC CRM ontology. The integrated data provides the ideal environment for research, while the customized application components support numerous analysis, search and collaboration scenarios on top of these data.

Key Solution Components

Utilizing knowledge graphs, the application for Cultural Heritage supports various resource types - things, people, places, images, etc. - and delivers a wide spectrum of sophisticated and powerful features supporting researchers in their daily tasks, including

Cultural Heritage
  • Semantic search - contextual relationships are used to search different types of information across heterogeneous datasets
  • Geo search - maps are used to search resources using digital coordinates
  • Intelligent, semantic clipboard - users can save searches and search results to their own, personalized research area, create own datasets, use clipboard items to tweak searches, create arguments and underpin narratives - all of this privately or collaboratively
  • Semantic annotation & semantic narratives - providing an intersection between structured data and analytical narratives, the system allows users to write about individual resources (annotations) or general articles (general narratives) and visualize their narratives to create digital essays that are related to the resources they reference
  • Assertions and arguments - the system provides innovative functionalities to support text-based annotations and represent assertions backed up by semi-formalized arguments, which allow research teams to analyze their work, reach agreements and, therefore, provide vital information for institutions in improving their 'canonical' institutional data
  • Image annotation - leveraging the IIIF standard for streaming high resolution images, our solution supports the definition of image regions which become related resources and can be annotated with semantic annotations and used in arguments
  • Lightbox - users can view, manipulate, compare, overlay and link images and image regions in organized sets
  • Semantic Web Database - our solution comes with a flexible semantic database system which can be used to define new patterns of knowledge, create custom input screens for project members, and share knowledge patterns with the community

Who is this relevant for?

Our Cultural Heritage application delivers benefits for two different target groups: art experts and art consumers.

Art experts benefit from an application which relies on simplified integration of external data sources, a more transparent data model and numerous query and visualization functionalities. This lowers the technical barriers, required expertise and cost for producing high quality cultural heritage data. In other words, institutions can, for example, much cheaper develop and maintain their customer-facing assets such as website, informational brochures, etc.

Art consumers, on the other hand, benefit, for example, from an application providing art-related information in a more interactive, exciting and thought-provoking manner, based on own preferences and interests.

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