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Research in the direction of bridging the gap between static and dynamic reasoning support in SPARQL queries is continuing, and we can also reasonably hope for truly run-time reasoning to appear in the relatively near future.
In this paper, we present an adaptive service composition framework that supports such dynamic reasoning.
In process are defined the notions of path logic and dynamic reasoning system (DRS).
Along with verbal interactions, there was another type of epistemic action crucial for execution of the dynamic reasoning procedure undertaken by the waiter, observation.
However, existing service composition approaches based on SSOA do not support dynamic reasoning on user tasks and service behaviours to deal with the heterogeneity of IoT domains.
Despite the profound impact ontologies are having on the digital categorization of biological knowledge, new biomedical research and the expanding and changing nature of biological information have limited the development of bio-ontologies to support dynamic reasoning for knowledge discovery.
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Force-dynamic reasoning is also prevalent in students' evolutionary explanations of trait loss.
Faulty evolutionary explanations incorporating pressures and forces may be explained by the recruitment of everyday force-dynamic reasoning patterns into evolutionary explanations.
Force-dynamic reasoning was not confined to students' initial evolutionary explanations; students also used this reasoning when defining what they meant by "pressure".
Generalized representations of force-dynamic reasoning are exhibited when the presence (a) or absence (c) of a force causes a change in the state of the object.
Student use of force-dynamic reasoning is apparent in evolutionary explanations of trait gain such as, "Increased pressure such as predation would have caused the species of snail to evolve to be poisonous for protection".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com