For example, using quizzes to promote knowledge retrieval, spacing practice of a given concept over time, asking students deep explanatory questions, combining graphics with verbal descriptions, and connecting abstract and concrete representations of concepts have all proved effective and complementary.
Besides, ambiguous query is also an important factor for the performance of knowledge retrieval systems.
In order to improve the performance of knowledge retrieval, this paper proposes an evaluation mechanism using Six Sigma methodology to help developers continuously control the knowledge retrieval process.
An important element of the GOM framework is the ontology separation schema, specifying the internal vertical and horizontal dependencies according to the Virtual Organization thematic domains, efficiency of knowledge retrieval and ontology development support.
These internal representations are thought to guide cognitive tasks by serving as facilitators (or inhibitors) of knowledge retrieval, problem solving, and conceptual understanding (d'Apollonia et al. 2002).
Knowledge retrieval is a decisive part of the performance of a knowledge management system.
They also describe and compare biomedical search engines, in the context of information retrieval, literature retrieval, result processing, knowledge retrieval, semantic processing, and integration of external tools.
Specifically, this study involves the following tasks: (i) proposes a general knowledge retrieval framework based on the analysis result of knowledge retrieval, (ii) designs the knowledge retrieval evaluation framework using Six Sigma's Define-Measure-Analyze-Improve-Control (DMAIC) process and (iii) develops the related technologies to implement the knowledge retrieval evaluation mechanism.
An overview of document processing and knowledge retrieval functionality is shown in Fig. 1.
Strategies for knowledge annotation, knowledge retrieval, and ontology evolution are briefly described and results of preliminary performance analysis are shown.
