The Semantic Puzzle

The Semantic Puzzle is our weblog for news from research, product development and projects.

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

    21. April 2015, by Tassilo Pellegrini

    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).

    KOS in the era of the Web

    With the proliferation the World Wide Web new forms of knowledge organization principles emerged based on hypertextuality, modularity, decentralisation and protocol-based machine communication (Berners-Lee 1998). New forms of KOSs emerged like folksonomies, topic

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  • Getting to grips with “semantic” interoperability

    10. April 2015, by Tassilo Pellegrini

    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 their representation models are being merged into one newly consolidated data source, the concept of interoperability is defined by a structural separation of knowledge sources and their

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  • Transforming music data into a PoolParty project

    09. April 2015, by Florian Huber Goal

    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 PoolParty, 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 SKOS. 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 Ontology.

    E.g. you can select

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  • SEMANTiCS2015: Calls for Research & Innovation Papers, Industry Presentations and Poster/Demos are now open!

    20. February 2015, by Martin Kaltenböck

    The SEMANTiCS2015 conference comes back this year in its 11th edition where it all started in 2005 to Vienna, Austria!

    The conference  takes place from 15-17 September 2015 (the main conference will be on 16-17th of September and several back 2 back workshops & events on 15th) at the University of Economics – see all information: http://semantics.cc/.

    SEMANTiCS 2015 - Banner - new

    We are happy to announce the SEMANTiCS Open Calls as follows. All infos on the Calls can also be found on the SEMANTiCS2015 website here: http://semantics.cc/open-calls

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  • Data to Value & Semantic Web Company agree partnership to bring cutting edge Semantic Management to Financial Services clients

    18. February 2015, by Thomas Thurner

    The partnership aims to change the way organisations, particularly within Financial Services, manage the semantics embedded in their data landscapes. This will offer several core benefits to existing and prospective clients including locating, contextualising and understanding the meaning and content of Information faster and at a considerably lower cost. The partnership will achieve this through combining the latest Information Management and Semantic techniques including:

    • Text Mining, Tagging, Entity Definition & Extraction.
    • Business Glossary, Data Dictionary & Data Governance techniques.
    • Taxonomy, Data Model and Ontology development.
    • Linked Data & Semantic Web analyses.
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