Sentence examples for structuring knowledge in from inspiring English sources

Classification has been a fundamental step in devising and structuring knowledge in chemistry [1], as illustrated through several classifications of chemicals, e.g. homologous series, chemical elements, amino acids and drugs.

Ontology – the theory of objects and their relationships – has become a hot topic in recent years, with its use for indexing knowledge and structuring knowledge in knowledge management and knowledge engineering.

Across the innovations new practices were knitted together from new relationships at multiple levels; structuring knowledge in new ways enabled novel insight as to how services could be integrated.

It may be beneficial to approach such structuring knowledge in terms of dynamic continuums of relative priority.

The overall picture shows that not only are semi-structured resources enabling a renaissance of knowledge-rich AI techniques, but also that significant advances in high-end applications that require deep understanding capabilities can be achieved by synergistically exploiting large amounts of machine-readable structured knowledge in combination with sound statistical AI and NLP techniques.

Conversely, expansion-by-analogy could be configured to utilize additional structured knowledge presented in predicate form.

Commonsense reasoning patterns such as interpolation and a fortiori inference have proven useful for dealing with gaps in structured knowledge bases.

However, ontologies have been developed for specific subdomains of continuous care, e.g., ontologies for structuring organizational knowledge in homecare assistance [ 50], representing the context of the activity in which the user is engaged [ 57] and modeling chronic disease management in homecare settings [ 43].

Results of a laboratory experiment indicate that the organization of topics affected how students structured their knowledge in memory.

Additionally, this study found that such paradigms offer many business benefits and advantages; e.g. (a) the ability to acquire, represent, manage and structure the knowledge in the domain under study, (b) the ability to optimize resources, (c) the ability to perform efficient performance, and (d) the ability to conduct planning, budgeting, and forecasting.

Knowledge engineering, being a branch of artificial intelligence, offers a variety of methods for elicitation and structuring of knowledge in a given domain.