Foundations of Fuzzy Logic and Semantic Web Languages (Hardcover)

Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic Web languages. The book focuses on the three main streams of Semantic Web languages:

• Triple languages RDF and RDFS
• Conceptual languages OWL and OWL 2, and their profiles OWL EL, OWL QL, and OWL RL
• Rule-based languages, such as SWRL and RIF

Written by a prominent researcher in this area, the book is the first to combine coverage of fuzzy logic and Semantic Web languages. The first part of the book covers all the theoretical and logical aspects of classical (two-valued) Semantic Web languages. The second part explains how to generalize these languages to cope with fuzzy set theory and fuzzy logic.

With an extensive bibliography, this book provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and fuzzy logic experts. It also helps researchers of non-Semantic Web languages get a better understanding of the theoretical fundamentals of Semantic Web languages.

「模糊/不確定性管理」在語義網研究中開始扮演重要角色，有大量的研究工作正在進行中。《模糊邏輯與語義網語言基礎》提供了一個嚴謹而簡潔的數學方法和工具的介紹，用於在語義網語言中表示和推理模糊信息。該書聚焦於語義網語言的三個主要流派：

- 三元語言 RDF 和 RDFS
- 概念語言 OWL 和 OWL 2，以及它們的配置文件 OWL EL、OWL QL 和 OWL RL
- 基於規則的語言，如 SWRL 和 RIF

該書由該領域的知名研究者撰寫，是首本結合模糊邏輯和語義網語言的著作。書的第一部分涵蓋了所有經典（兩值）語義網語言的理論和邏輯方面。第二部分解釋了如何將這些語言推廣到應對模糊集合理論和模糊邏輯。

這本書具有廣泛的參考文獻，深入探討了非模糊集合理論和模糊邏輯專家對於模糊語義網語言的深入見解。它還幫助非語義網語言的研究人員更好地理解語義網語言的理論基礎。