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In this case, we assume that a computer-based and authentic assessment increases construct validity (Gielen et al. 2003) because of an improved representation of domains (Pellegrino and Quellmalz 2010).
The representation of domains and repeats through additional symbols can be applied to add a degree of structure-based coding within the 2D protocol, thereby providing a means to increase the overall degree of compression.
The representation of domains and repeats through additional symbols can be optionally applied to add a degree of structure-based coding within the 2D protocol, thereby increasing the overall efficacy of the compression method.
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Research from literature also suggests that graphical representation of domain knowledge can reduce the problems of information overload and learning disorientation for learners.
We adopt an abstract representation of domain relationships by means of directional metrics which are applied to a triplet (ingress point, transit AS, egress point) where the ingress and egress points can be ASs or routers.
Figure 2A shows schematic representation of domain architectures for these.
Schematic representation of domain architectures in AGOs from lower plant groups.
This can be achieved with the representation of domain knowledge with ontologies and with the semantic characterization of links between resources.
Data interoperability is achieved with the support of semantic web technologies and resources, through the use of the technological standards (e.g. RDF, URIs, RDFS and OWL), the linking of data and the representation of domain knowledge with controlled vocabularies.
The relationship between terms in an ontology not only allows for a more complete representation of domain knowledge but also can be used to validate metadata annotated to these ontologies.
All systems incorporate semantic web technologies enabling data interoperability, which include the representation of domain knowledge with controlled vocabularies, links between resources and the use of the semantic web standards (see Figure 4).
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CEO of Professional Science Editing for Scientists @ prosciediting.com