Abstract
Inference engine plays an important role in knowledge-based system, where it is used to perform reasoning when queries are entered. There is a need to incorporate a semantic reasoner in the engine, in order for it to perform reasoning. With the growth of Semantic Web and increasing number of ontology implemented recently, several semantic reasoner have been design and implemented to cater the need of the current ontology-based systems. Since there are various numbers of available semantic reasoners in the market for general knowledge-based system or ontology-based system, developers are required to choose an appropriate reasoner that met the system requirements when developing the engine. This paper will review six different ontology reasoners, which have been widely applied previously in ontology based system. By studying the strength and weaknesses of the techniques and algorithms implemented, developer able to select an appropriate reasoner that will work efficiently according to system requirements.
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Ting, M., Abdul Kadir, R., Tengku Sembok, T.M., Ahmad, F., Azman, A. (2014). Feasibility Study Concerning the Use of Reasoning Technique in Semantic Reasoners. In: Jaafar, A., et al. Information Retrieval Technology. AIRS 2014. Lecture Notes in Computer Science, vol 8870. Springer, Cham. https://doi.org/10.1007/978-3-319-12844-3_32
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DOI: https://doi.org/10.1007/978-3-319-12844-3_32
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