• Ruixuan Li, Kunmei Wen, Xiwu Gu, Yuhua Li, Xiaolin Sun, Bing Li

• 出版社：Springer
• 页数：： 205-215
• 出版年：2011

Description logics (DLs) are widely employedin recent semantic web application systems. However,classical description logics are limited when dealing withimprecise concepts and roles, thus providing the motiva-tion for this work. In this paper, we present a type-2 fuzzyattributive concept language with complements (ALC)and provide its knowledge representation and reasoningalgorithms. We also propose type-2 fuzzy web ontologylanguage (OWL) to build a fuzzy ontology based on type-2 fuzzy ALC and analyze the soundness, completeness,and complexity of the reasoning algorithms. Compared totype-1 fuzzy ALC, type-2 fuzzy ALC can describeimprecise knowledge more meticulously by using themembership degree interval. We implement a semanticsearch engine based on type-2 fuzzy ALC and carry outexperiments on real data to test its performance. Theresults show that the type-2 fuzzy ALC can improve theprecision and increase the number of relevant hits forimprecise information searches.

• Keywords description logic (DL), type-2 fuzzy attributive concept language with complements (ALC), fuzzy ontology, reasoning, semantic search engine