图书信息
图书目录
Fuzzy Computational Ontologies in Contexts （海外版）
计算本体（computational ontology）是对概念以及概念间的各种关系的一种形式化表述，是知识表示、语义网、智能主体等人工智能主要研究领域中的重要研究对象。《情境中的模 糊计算本体（英文版）》提出了一个基于模糊集的、可表达对象对于概念的归属程度（object membership）和对象在概念中的典型程度（object typicality）的形式化计算本体模型，以具体例子论证了此形式化模型的必要性和重要性；指出了情境（context）对物体归属程度和典型程度的 影响，并对此加以形式化；最后讨论了此形式化模型在推荐系统中的应用，用实验证明利用对象典型程度，或把对象典型程度加到协同过滤法后，能进一步提高模型 的准确性。
作者：
Yi Cai, et al.
定价：
.00元
出版时间：
2011-12-07
ISBN：
978-7-04-033889-8
物料号：
33889-A0
读者对象：
学术著作
一级分类：
自然科学
二级分类：
计算机科学与工程
三级分类：
计算理论与算法
重点项目：
暂无
版面字数：
350.000千字
开本：
暂无
全书页数：
220页
装帧形式：
暂无
- Chapter 1 Introduction
- 1.1 Semantic Web and Ontologies
- 1.2 Motivations
- 1.2.1 Fuzziness of Concepts
- 1.2.2 Typicality of Objects in Concepts
- 1.2.3 Context and Its Efiect on Reasoning
- 1.3 Our Work
- 1.3.1 Objectives
- 1.3.2 Contributions
- 1.4 Structure of the Book
- References
- Chapter 2 Knowledge Representation on the Wleb
- 2.1 Semantic Web
- 2.2 Ontologies
- 2.3 Description Logics
- References
- Chapter 3 Concepts and Categorization from a Psychological Perspective
- 3.1 Theory of Concepts
- 3.1.1 Classical View
- 3.1.2 Prototype View
- 3.1.3 Other Views
- 3.2 Membership versus Typicality
- 3.3 Similarity Between Concepts
- 3.4 Context and Context Efiects
- References
- Chapter 4 Modeling Uncertainty in Knowledge
- Representation
- 4.1 Fuzzy Set Theory
- 4.2 Uncertainty in Ontologies and Description Logics
- 4.3 Semantic Similarity
- 4.4 Contextual Reasoning
- 4.5 Summary
- References
- Chapter 5 Fuzzy Ontology：A First Formal Model
- 5.1 Rationale
- 5.2 Concepts and Properties
- 5.3 Subsumption of Concepts
- 5.4 Object Membership of an Individual in a Concept
- 5.5 Prototype Vector and Typicality
- 5.6 An Example
- 5.7 Properties of the Proposed Model
- 5.7.1 Object Membership
- 5.7.2 Typicality
- 5.8 On Object Membership and Typicality
- 5.9 Summary
- References
- Chapter 6 A More General Ontology Model with ObjectMembership and Typicality
- 6.1 Motivation
- 6.2 Limitations of Previous Models
- 6.2.1 Limitation of Previous Modds in Measuring Object Membership
- 6.2.2 Limitations of Previous Models in Measuring Object Typicality
- 6.3 A Better Conceptual Model of Fuzzy Ontology
- 6.3.1 A Novel Fuzzy Ontology Model
- 6.3.2 Two Kinds of Measurements of Objects Possessing Properties
- 6.3.3 Concepts Represented by N-Properties and L-Properties
- 6.4 Fuzzy Membership of Objects in Concepts
- 6.4.1 Measuring Degrees of Objects Possessing Defining Properties of Concepts
- ……
- Chapter 7 Context-aware Object Typicality Measurement in Fuzzy Ontology
- Chapter 8 Object Membership with Property Importance and Property Priority
- Chapter 9 Applications
- Chapter 10 Conclusions and Future Work
- Index
