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Neither topic nor resource situations have to be posited for the exclusive need of domain restriction.
This is particularly important in neuroscience in light of the absence of standardized terminologies [2], leading to the constant need of domain expertise to reconcile confusing, conflicting, or inconsistent nomenclatures.
In spite of its unstructured and uncontrolled nature, user-created descriptions can be exploited by information retrieval and recommender system tasks, lessening the need of domain experts to create structured metadata about the items (indexing).
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We motivate for the need of domain-specific languages (DSLs) and productivity tools to deal with code maintenance complexity when targeting multiple and heterogeneous architectures.
The proposed method successfully extracts useful information from the text database, and provides intuitive graphical interface, thereby satisfying the need of the domain experts.
The differing choice between competing instruments, such as the Functional Independence Measure versus the Barthel Index, was likely related to the specific contexts in different regions rather than discussion on the need of the domains to be measured.
We live in an era of change, and it is therefore a challenge to align standardization with the needs of the domain.
In addition, this architecture provides real-time data processing thanks to the use of a complex event processing engine as well as services and intelligent decision-making procedures to users according to the needs of the domain in question.
We recognize that the content, structure and functionality of an ontology are related to (and derived from) the uses intended by those developing it, and the needs of the domain of interest.
Knowledge engineering methods for traditional medicine are useful to model suitably complex information needs, formalize knowledge of domain experts and highlight the effective practices for their integration to conventional medicine.
DSLs are mini-languages created specifically for the need of a specific domain [21], such as the topic at hand, scientific workflows.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com