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机构地区:[1]Faculty of Sciences of Tunis,University of Tunis El Manar,Tunis 2092,Tunisia [2]Faculte des Sciences Juridiques,Universite de Jendouba,Jendouba 8189,Tunisia
出 处:《Frontiers of Computer Science》2021年第3期97-108,共12页中国计算机科学前沿(英文版)
基 金:supported by the LIPAH Laboratory(LIPAH-LR 11ES14)of University of Tunis El Manar,Faculty of Sciences of Tunis(Tunisia)。
摘 要:Although recent studies on the Semantic Web have focused on crisp ontologies and knowledge representation,they have paid less attention to imprecise knowledge.However,the results of these studies constitute a Semantic Web that can answer requests almost perfectly with respect to precision.Nevertheless,they ensure low recall.As such,we propose in this re-search work a new generic approach of fuzzification that which allows a semantic representation of crisp and fuzzy data in a domain ontology.In the framework of our real case study,the obtained illustrate that our approach is highly better than the crisp one in terms of completeness,comprehensiveness,generality,comprehension and shareability.
关 键 词:crisp ontology fuzzy ontology fuzzy logic fuzzy reasoning domain ontology
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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