Ontology is an important tool for organizing information into categorized data for a semantic web search engine in order to create an ontology which can support both the collection and the presentation of skill knowledge. This study used a Know-Ont based ontology modeling approach (KOOM) on a case study of a basketball shooting technique to create semi-automatic ontology engineering, which is expected to help facilitate better understanding and interpretation of the multidimensional table in a knowledge engineering process and reduce the need for expert support. The efficiency evaluation of skill knowledge extraction framework based on KOOM shows the following values: Precision =0.72, Recall =0.71, Accuracy = 0.94 and F-Measure =0 .17 , which are considered to be efficient.Index Terms-Ontology, ontology modeling, semantic web, knowledge engineering.

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