The 2013 BioNLP ST mapped each task to an overarching objective: i.e. to apply different tasks to construct a knowledge base for systems biology needs [ 20].
For example, suppose we are to construct a knowledge base for biomedical events by combining manually curated sources together with automatically extracted information through literature mining.
The research objective is to design and construct a knowledge-based decision support system for monitoring, control and diagnosis of the carbon dioxide capture process, which is a complicated task involving manipulation of sixteen components and their operating parameters.
Based on the principle of compositionality, we modularize the surveillance problems into a set of variables comprising regions-of-interest, classes (i.e. human, vehicle), attributes (i.e. speed, locality) and a set of notions (i.e. rules) associated to each of the attributes to construct a knowledge-based understanding of the environment.
The aim of this study was to construct automatically a knowledge base concerning the pharmacodynamic properties of antibiotics and a visualization tool.
This type of knowledge, although demonstrating procedural fluency, is not sufficient for teaching children who need to construct knowledge based on their prior understanding.
Constructing knowledge Team members constructing new project knowledge based on their interactions.
The ultimate goal is to construct a strong knowledge base so that we can clearly define a theoretical model with generalizable parameters that nonetheless takes into account the particular traits of individuals and their health condition.
How these tasks interact and are integrated to form a framework for constructing knowledge based diagnostic systems is described.
In addition, we describe how to construct and maintain a knowledge base under this model.
Peoples' representations consist of socially constructed and shared knowledge based on experiences and models of thoughts spread via education and social communication [ 12, 13].
