Download Fuzzy Knowledge Management for the Semantic Web (Studies in by Li Yan, Zongmin Ma, Fu Zhang, Jingwei Cheng PDF

By Li Yan, Zongmin Ma, Fu Zhang, Jingwei Cheng

This e-book is going to nice intensity in regards to the quick starting to be subject of applied sciences and techniques of fuzzy good judgment within the Semantic net. the themes of this booklet comprise fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology wisdom bases, extraction of fuzzy description logics and ontologies from fuzzy facts types, garage of fuzzy ontology wisdom bases in fuzzy databases, fuzzy Semantic net ontology mapping, and fuzzy principles and their interchange within the Semantic internet. The booklet goals to supply a unmarried list of present study within the fuzzy wisdom illustration and reasoning for the Semantic net. the target of the publication is to supply the state-of-the-art details to researchers, practitioners and graduate scholars of the net intelligence and even as serve the data and information engineering specialist confronted with non-traditional functions that make the appliance of traditional techniques tricky or most unlikely.

Show description

Read or Download Fuzzy Knowledge Management for the Semantic Web (Studies in Fuzziness and Soft Computing) PDF

Similar artificial intelligence books

Elements of Artificial Intelligence: Introduction Using LISP (Principles of computer science series)

The breadth of insurance is greater than enough to offer the reader an outline of AI. An creation to LISP is located early within the publication. even supposing a supplementary LISP textual content will be really helpful for classes during which huge LISP programming is needed, this bankruptcy is adequate for rookies who're as a rule in following the LISP examples came upon later within the e-book.

Fuzzy Knowledge Management for the Semantic Web (Studies in Fuzziness and Soft Computing)

This booklet is going to nice intensity about the quick becoming subject of applied sciences and ways of fuzzy good judgment within the Semantic internet. the themes of this booklet comprise fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology wisdom bases, extraction of fuzzy description logics and ontologies from fuzzy facts versions, garage of fuzzy ontology wisdom bases in fuzzy databases, fuzzy Semantic net ontology mapping, and fuzzy ideas and their interchange within the Semantic internet.

The Computer and the Brain (3rd Edition) (The Silliman Memorial Lectures Series)

Writer observe: ahead by way of Ray Kurzweil
------------------

In this vintage paintings, one of many maximum mathematicians of the 20th century explores the analogies among computing machines and the dwelling human mind. John von Neumann, whose many contributions to technological know-how, arithmetic, and engineering contain the fundamental organizational framework on the middle of today's desktops, concludes that the mind operates either digitally and analogically, but in addition has its personal bizarre statistical language.

In his foreword to this new version, Ray Kurzweil, a futurist recognized partly for his personal reflections at the courting among expertise and intelligence, locations von Neumann’s paintings in a old context and exhibits the way it is still proper this present day.

Dependency Structures and Lexicalized Grammars: An Algebraic Approach

Given that 2002, FoLLI has offered an annual prize for amazing dissertations within the fields of common sense, Language and data. This e-book relies at the PhD thesis of Marco Kuhlmann, joint winner of the E. W. Beth dissertation award in 2008. Kuhlmann’s thesis lays new theoretical foundations for the learn of non-projective dependency grammars.

Additional resources for Fuzzy Knowledge Management for the Semantic Web (Studies in Fuzziness and Soft Computing)

Sample text

It is particular true in the knowledge representation and reasoning in the Semantic Web as well as applications using Semantic Web techniques such as ontologies, Description Logics, and rules. In particular, many of the existing approaches dealing with imprecision and uncertainty are based on the theory of fuzzy sets and possibility theory. Zadeh’s fuzzy set theory has been identified as a successful technique for modelling the fuzzy information in many application areas. For example, as we have known, fuzzy set theory has been extensively applied to extend various database models and resulted in numerous contributions as will be introduced in the next Chap.

6 shows a fuzzy dependency relationship, which is denoted by a dashed line with an arrowhead. It is clear that Employee Dependent is dependent on fuzzy class Employee with membership degree g [ [0, 1]. Fig. 5 Representation of a fuzzy aggregation in a fuzzy UML model New-Computer [1, ] Monitor [1, 1] New CPU box [1, ] Keyboard 42 Fig. 6 Representation of a fuzzy dependency in a fuzzy UML model Fig. 7 Representation of a fuzzy association (class) in a fuzzy UML model 3 Fuzzy Data Models and Formal Descriptions Employee Old-Employee WITH DEGREE Employee Dependent Uby Uof (1,1) (1,2) New-Computer Use Date: String : String Fuzzy Association An association is a relation between the instances of two or more classes.

In Fig. 3 means that each object instance of the class Old-Employee has at least one email, and possibly more. Fig. 3 Representation of a fuzzy class Old-Employee in a fuzzy UML model Old-Employee ID: String Name: String FUZZY Age: Integer FUZZY Email [1 ]: String FUZZY IsDepartment( ): String fuzzy class name crisp attributes fuzzy attributes method (operation) additional attribute u : Real 40 3 Fuzzy Data Models and Formal Descriptions • The method IsDepartment():String denotes the dynamic aspect of fuzzy UML models.

Download PDF sample

Rated 4.81 of 5 – based on 20 votes