Our institute specializes in advanced knowledge representation, focusing on cultural heritage data. Our expertise includes digitizing collections and creating detailed ontologies, which are the backbone of Knowledge Graphs. Here's how we achieve this:
Knowledge Representation (KR) is the science of describing a specific domain using a logical language that both humans and computers can understand. In KR, we develop models called ontologies. These ontologies conceptualize a domain by defining:
Ontologies serve as the structural foundation for Knowledge Graphs, which organize data into triples (subject, predicate, object). Typically, subjects and objects belong to specific classes in an ontology, while predicates are the properties that connect them.
Ontologies are dynamic and versatile. They can be combined and aligned with other ontologies, enhancing their utility and interoperability.
Ontologies are written in OWL (Ontology Web Language), an open-source format known for its interoperability and reusability. This makes ontologies ideal as structural backends for Knowledge Graphs and crucial for creating and linking Linked Open Data (LOD).
We excel in representing cultural heritage data by:
The Semantic Web is a specialized web segment where pages contain structured data about entities linked together through specific properties. This interconnectivity enhances data discoverability and usability.