Type-2 Fuzzy Description Logic
出版社：
- 出版社：Springer
- 页数：： 205-215
- 出版年：2011
摘要内容：
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.
关键词：
- Keywords description logic (DL), type-2 fuzzy attributive concept language with complements (ALC), fuzzy ontology, reasoning, semantic search engine
出版社：
出版社：Springer
页数：： 205-215
出版年：2011
摘要内容：
Description logics (DLs) are widely employed in recent semantic web application systems. However, classical description logics are limited when dealing with imprecise concepts and roles, thus providing the motiva- tion for this work. In this paper, we present a type-2 fuzzy attributive concept language with complements (ALC) and provide its knowledge representation and reasoning algorithms. We also propose type-2 fuzzy web ontology language (OWL) to build a fuzzy ontology based on type- 2 fuzzy ALC and analyze the soundness, completeness, and complexity of the reasoning algorithms. Compared to type-1 fuzzy ALC, type-2 fuzzy ALC can describe imprecise knowledge more meticulously by using the membership degree interval. We implement a semantic search engine based on type-2 fuzzy ALC and carry out experiments on real data to test its performance. The results show that the type-2 fuzzy ALC can improve the precision and increase the number of relevant hits for imprecise information searches.
关键词：
Keywords description logic (DL), type-2 fuzzy attributive concept language with complements (ALC), fuzzy ontology, reasoning, semantic search engine
