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We focus in particular on the KNIME implementation of knowledge-based tools to generate informed hypotheses regarding protein targets of bioactive compounds, based on notions of chemical similarity.
But companies and government agencies are starting to find plenty of places where knowledge-based tools can make a huge difference.
The goals and experiences of the InterMed project and lessons that the authors have learned may contribute to the work of other researchers who are developing medical knowledge-based tools.
There is a need for "next generation" tools, including intelligent knowledge-based tools, allowing consumers to positively and actively identify reliable health information that suits their needs.
Knowledge creation consists of research inquiry, the synthesis of evidence, and the production of knowledge-based tools and products, such as clinical practice guidelines.
This requires more complete knowledge of the genetic diversity in the O. sativa gene pool, associations of diverse alleles with important rice traits, and systematic exploitation of this rich genetic diversity by integrating knowledge-based tools into rice improvement using innovative breeding strategies [ 4- 6].
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This chapter aims to give knowledge engineers and managers an understandable and comprehensive outline for building an efficient knowledge-based tool in the field of preventive quality management.
This contribution presents an impact analysis of the most popular knowledge-based tool, AskNature, in the form of an outcome-based study.
In this paper we present a knowledge-based tool aimed at supporting the expert in performing HAZOP studies in a plant project managed by a CAD/PLM system.
In this context, this paper proposes three knowledge-based models to ease the decision making process: an expert production scheduling system, a knowledge-based tool management decision support systems, and a tool management fault diagnosis system.
The knowledge-based tool analyzes the sentence׳s text structure and dependencies and implements a keyword-based approach, where the emotional state of a sentence is derived from the emotional affinity of the sentence's emotional parts.
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