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In this study, an ontology-driven approach is proposed for semantic conflict detection and classification in rule-based expert systems.
As a well-established ERP component in language studies, N400, which occurs approximately 400 milliseconds after the stimulus onset, has been found to be related to a wide range of tasks that require semantic access, especially semantic conflict [63], [64], [65].
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The semantic conflicts are addressed using logical mapping.
Semantic conflicts happen frequently during collaborative editing of design documents.
Such a mapping must deal with the structural and semantic conflicts between the two.
It is worth noting that potential semantic conflicts from different stakeholders' policies can also be reconciled [23].
Then a new algorithm for inserting operations, from which semantic conflicts are often caused, is designed to solve the problem of semantic consistency of words.
The problem of semantic consistency of words and the maintenance of users' editing intentions are the two major challenges when resolving those semantic conflicts.
The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present.
Conclusions: The use of OBA-MSI to aid tools integration helps deal with semantic conflicts and contributes to obtain a proper support to the software measurement process.
Crystal detects physical, syntactic, and semantic conflicts in Mercurial and Git repositories (provided that the user informs the compiling and testing commands), but does not precisely deal with repositories that pull updates from more than one peer.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com