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Handbook Of Knowledge Representation

Ontologies versus data models

The difference between ontologies and data models does not lie in the language being used: you can define an ontology in a basic ER language (although you will be hampered in what you can say); similarly, you can write a data model with OWL. Writing something in OWL does not…

#data-model #ontology #language #owls

Linked Data Is Merely More Data

Lack of expressivity in the linked data cloud

The LoD Cloud is of very shallow expressivity as a knowledge base and thus hardly allows to make use of underlying formal semantics through reasoning. The LoD Cloud primarily consists of ground level RDF triples, and hence does not utilize rich expres- sive features provided by…

#LOD-cloud #cloud #owls

Punning - Owl

Punning

People often want to use a class to specify the value of some property. An example originating at the University of Karlsruhe[1] is in service modeling. Services are modeled as instances of the a:Service class. For each concrete service (i.e., for each instance of a:Service)…

#RDF #services #owls