The Semantic Puzzle

Tassilo Pellegrini

Thoughts on KOS (Part 2): Classifying Knowledge Organisation Systems

Traditional KOSs include a broad range of system types from term lists to classification systems and thesauri. These organization systems vary in functional purpose and semantic expressivity. Most of these traditional KOSs were developed in a print and library environment. They have been used to control the vocabulary used when indexing and searching a specific product, such as a bibliographic database, or when organizing a physical collection such as a library (Hodge et al. 2000). Continue reading

Tassilo Pellegrini

Thoughts on KOS (Part1): Getting to grips with “semantic” interoperability

Enabling and managing interoperability at the data and the service level is one of the strategic key issues in networked knowledge organization systems (KOSs) and a growing issue in effective data management. But why do we need “semantic” interoperability and how can we achieve it?

Interoperability vs. Integration

The concept of (data) interoperability can best be understood in contrast to (data) integration. While integration refers to a process, where formerly distinct data sources and Continue reading

Florian Huber

Transforming music data into a PoolParty project


For the Nolde project it was requested to build a knowledge graph, containing detailed information about the austrian music scene: artists, bands and their music releases. We decided to use PoolPartyWeb based ontology manager which can serve as a central hub for your knowledge organization. With PoolParty you can organize and maintain knowledge models based on widely accepted specifications like RDF, SPARQL and SKOS., since theses entities should be accessible in an editorial workflow. More details about the implementation will be provided in a later blog post.

In the first round I want to share my experiences with the mapping of music data into SKOSSimple Knowledge Organization System (SKOS) is a family of formal languages designed for representation of thesauri, classification schemes, taxonomies, subject-heading systems, or any other type of structured controlled vocabulary. SKOS is built upon RDF and RDFS, and its main objective is to .... Obviously, LinkedBrainz was the perfect source to collect and transform such data since this is available as RDF/NTriples dumps and even providing a SPARQL endpoint! LinkedBrainz data is modeled using the Music OntologyProvides main concepts and properties fo describing music (i.e. artists, albums, tracks, but also performances, arrangements, etc.). ( Continue reading