智能与分布计算实验室

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