A Review on the Knowledge Representation Models and its Implications
Автор: Hepsiba Mabel V, Justus Selwyn
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 10 Vol. 8, 2016 года.
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Data and Information has seen exponential growth in the past few years which has led to its importance in processing it in the creation of knowledge. Representing knowledge in a required format is the need for the building a knowledgebase (KB) for Expert Systems. In this paper we carried a survey on the knowledge representation models that will help us choose a suitable model for designing and developing a KB. A detailed study is conducted on six models and comparison of the models on some non-functional attributes are carried out to enable knowledge workers to decide on the model selection.
Knowledge representation, knowledgebase, intelligent systems, object-relational data modeling
Короткий адрес: https://sciup.org/15012573
IDR: 15012573
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