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Evidence from the N400 component indicates that the processing of intra-sentential contextual requirements and extra-sentential semantic preconditions (e.g. constraints on semantic interpretation introduced by a preceding context or by world knowledge) are effective at a comparable speed and strength, and possibly subserved by identical neural networks [ 26].
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In order to automatically selecting and executing the bioinformatics toolkits, we annotated web service in OWL-S functional profiles in Table 4 which is a Semantic Web Service to describe inputs, outputs, preconditions and effects of each web services to compose into a workflow.
Semantic Web Services Description Ontologies (OWL-S) are used to describe model inputs, outputs, preconditions, operating environment and its functionality.
Then, knowledge about using physical effects is formalized in OWL (Ontology Web Language), and constraint knowledge, such as the preconditions to use each kind of physical effects, is formalized in SWRL (Semantic Web Rule Language).
Our proposed matchmaker architecture performs semantic matching of Web Services on the basis of input and output descriptions of semantic Web Services as well as precondition and effect matching.
Required preconditions p +, prohibited preconditions p −, positive effects e +, and negative effects e − correspond to semantic information.
Is this semantic quibbling?
Semantic infiltration indeed.
No semantic quibbles.
What preconditions do exist?
"We have no preconditions".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com