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| − | Modern semantic (web) technologies have its root in mature knowledge representation (KR) methods and techniques. They can be seen as a “Webification” of KR languages such as the Frame Language and Description Logics (DL). In fact, RDF can be considered as a simple frame language as well as a language for semantic nets and OWL has its direct foundation in a certain DL dialect. As mentioned above, (the semantics of) these languages are the theoretical backbone of controlled vocabularies and are widely used to define concrete vocabularies.
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| − | For instance, SNOMED has the expressivity of the OWL EL++ dialect and even LOINC can be proper represented and processed by means of DL. Moreover, methods and techniques beyond representation such as DL-inference, logical rules , and querying via SPARQL are the building blocks for processing vocabularies.
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| − | Another important aspect is the utilization of RDF for storing and querying linked (big) data. So far many RDF stores (Jena TDB, Virtuoso, etc.) are available and able to hold data in the range of several hundred million triples. Compared to object stores and assuming an average number of 10 object attributes, one can easily store and retrieve several million objects. These capabilities would give us the opportunity to “weave” instance nets for arbitrary medical data objects together with referenced vocabularies.
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