The aim of the proponents of these concepts is to re-interpret the knowledge of contemporary genetics by replacing sloppy thinking based on unclear concepts with more rigorous thinking in terms of precise concepts.
More specifically, it means we can use the literature to identify a theoretical framework that we then use to interpret the ways knowledge is created at the SRA.
It was clear that once they had received the basic information, they started to interpret the obtained knowledge, each according to his or her capacity and according to his or her understanding of health and disease.
Further research is needed to guide policy-makers, courts and legislative bodies about how to interpret the scientific knowledge in an era of HIV as a manageable chronic illness, in contrast to earlier eras when HIV was perceived to be a death sentence and public health menace.
This combination of data-driven co-expression networks and knowledge-based functional interactions allowed us to make optimal use of the specific strengths of both approaches: analyze molecular data within the framework of available knowledge to interpret the patterns identified in the data (knowledge-based), but still allowing inclusion of novel interactions not described before (data-driven).
This suggests that most patients and physicians will make appropriate use of SMBG data when there is a well-defined testing protocol, a tool for organizing the data, and the knowledge to interpret the data.
Semantics are necessary in order to interpret the information and derive knowledge.
To semantically interpret n knowledge operators, binary accessibility relations Rn are defined over the set of possible worlds W. A special accessibility relation, R°, is introduced to interpret the operator of common knowledge.
A year before Wild's publication, Slater et al. argued [2] that it is not sufficient to simply bring together data and information from multiple sources; semantics are necessary in order to interpret the information and derive knowledge.
