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KRSMS Semantic Annotation Language

Difference between version 19 and version 18:

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- Datasets, actors (also known as services), and actor input and output ports are examples of resources that can have ''semantic types'', that is, types that classify and constraint the semantic, as opposed to structural interpretation resources. A semantic type may also describe how the semantic interpretation is "encoded" within a resource. For example, given a dataset that contains measurements of biomass at a particular location, the "encoding" may state that a particular column denotes biomass values and that another column denotes location values.
+ Datasets, actors (also known as services), and actor input and output ports are examples of resources that can have ''__semantic types__'', that is, types that classify and constraint the semantic, as opposed to structural interpretation of resources. A semantic type may also describe how the semantic interpretation is "encoded" within a resource. For example, given a dataset that contains {{measurements of biomass for species sampled at certain locations}}, the "encoding" may state that a particular column denotes the {{biomass}} and that another column denotes the {{location}} of {{measurements}}.
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- We define a ''semantic type'' as a set of one or more ''semantic annotations''. Generally speaking, a semantic annotation assigns some object (or set of objects) within a resource a meaning, where the "meaning" is specified via ontology expressions (that use terms from ontologies). A semantic annotation serves to "link" or "glue" a portion of a resource to a portion of an ontology.
+ We define a ''__semantic type__'' as a set of one or more ''__semantic annotations__''. Generally speaking, a semantic annotation assigns some object (or set of objects) within a resource a meaning, where the "meaning" is specified via ontology expressions (that use terms from ontologies). A semantic annotation serves to "link" or "glue" a portion of a resource to a portion of an ontology.

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