Semiotics in information systems engineering = 信息系统工程中的符号学 /
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作 者：Kecheng Liu著.
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ISBN：9787302099628
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简介
符号学（又称为记号学）作为研究各种符号的科学，多年来已被认为是信息通信系统中最重要的基础学科，并广泛应用于计算机及相关应用学科中，如计算机应用系统的设计与开发、需求工程、信息系统工程、电子商务、电子政务、人机交互、协同工作等。《信息系统工程中的符号学（影印版）》作为符号学在计算机及企业系统中的应用的一第部专著，自出版以来，给学术及应用领域带来了重要的影响，许多欧洲及美洲的大学院校采用此书作为研究生教材，并有一些院校根据此书开设大学高年级课程。《信息系统工程中的符号学（影印版）》从符号学的角度，介绍了信息需求分析、建模、设计及开发的方法，并提供实便演示，适合作为大学高年级或研究生的符号学教材。
《信息系统工程中的符号学（影印版）》作者刘科成教授现在英国瑞丁大学（The University of Reading）任教，并担任交叉学科的信息科学研究中心主任。自2000年以来，他撰写和编辑了5本符号学专著，他的个人网址为：www,rdg.ac.uk/～sis01kl。更多>>
目录
preface
1 introduction
1.1 information and information systems
1.2 problems and challenges in information systems
1.3 approaches and methods for information systems development
1.4 measur: a semiotic approach to information systems
1.5 about this book
part one semiotic framework and methods
2 understanding semiotics
2.1 signs and their functions
2.2 semiosis and learning
2.3 semiotics in computing
2.4 semiotics in organisations and information systems
3 a semiotic framework for information systems
3.1 philosophical stance
3.1.10bjectivist paradigm
3.1.2 subjectivist paradigm
3.1.3 radical subjectivist paradigm
3.2 the semiotic framework
3.2.1 physics
.3.2.2 empirics
3.2.3 syntactics
3.2.4 semantics
3.2.5 pragmatics
3.2.6 the social level
3.3 an example of semiotic analysis
4 a semiotic approach to information systems development
4.1 measur
4.2 how measur can help in information systems development
4.2.1 infrastructure analysis
4.2.2 systems analysis, design and implementation
4.3 summary
5 knowledge representation and information analysis
5.1 some basic considerations in knowledge representation
5.1.1 expressive adequacy and notional efficiency
5.1.2 semantic primitives
5.1.3 types of knowledge
5.2 representation approaches
5.2.1 typical examples
5.2.2 conceptual graphs
5.3 some fundamental issues of information analysis
5.4 the role of information analysis
6 semantic analysis
6.1 theoretical aspects of semantic analysis
6.1.1 affordances
6.1.2 ontology and some other fundamental notions
6.2 norma
6.2.1 well-formed formula
6.2.2 affordance and ontological dependency
6.2.3 semiotic behaviour
6.2.4 time
6.2.5 determiner and identity
6.2.6 generic-specific relationship
6.2.7 defining authority and responsibility
6.2.8 graphic representation - ontology chart
6.3 using legol to specify norms
6.4 conducting a semantic analysis
6.4.1 understand the problem domain
6.4.2 generating candidate affordances
6.4.3 candidate grouping
6.4.4 ontology charting
6.4.5 norm analysis
6.5 commentary on semantic analysis
7 pragmatics and communication
7.1 human communication
7.2 other approaches to communication
7.2.1 speech act theory
7.2.2 functional approach
7.2.3 deontic logic for communication
7.3 pragmatic aspect of human communication
7.4 the norm analysis method
7.4.1 the concept of norms
7.4.2 norms in business organisations
7.4.3 norm analysis
7.4.4 norms in computer systems
8 the social layer: modelling organisations as information systems
8.10rganisations as information systems
8.2 the notion of responsibility
8.3 an organisational morphology
8.4 modelling the organisation
8.5 summary: requirements for an effective information modelling method
part two applications
9 from semiotic analysis to systems design
9.1 the semantic aspect of databases
9.2 capturing the semantic aspect
9.3 capturing the time aspect
9.4 ontological modelling for conceptualisation
9.5 intentions, propositional attitudes and consequent operations
9.6 other aspects of databases: facts, beliefs, and knowledge
10 semantic temporal databases
10.1 databases
10.1.1 developments in database management systems
10.1.2 semantic temporal databases
10.2 the semantic templates
10.2.1. defining a semantic template
10.2.2 st for database design
10.3 systems construction
10.4 legol
10.4.1 basic syntactic structure
10.4.2 some important operations
11 normbase: a new approach to information management
11.1 the normbase concept
11.2 the normbase system
11.2.1 the normbase engine
11.2.2 the semantic temporal database
11.2.3 the norm store
11.3 information management with the normbase system
11.4 using semiotic methods with other approaches
11.4.1 relational database for implementation
11.4.2 object-oriented methods for design and implementation
12 case study: development of a land resources information system
12.1 background
12.2 semantic analysis for requirements modelling
12.3 norm analysis
12.4 system design and implementation in the normbase approach
12.5 discussions and conclusions
13 case study: development of a test construction system
13.1 background
13.1.1 contest project
13.1.2 user requirements
13.1.3 why choose semantic analysis?
13.2 system analysis
13.3 system design
13.4 system construction
13.5 discussion and conclusions
appendix a semantic templates and surrogate specification
a.1 definition of st
a.2 examples of using st in discourse modelling
a.3 examples of surrogates
appendix b legol applications in the cris case
b. 1 questions and legol statements
b.2 output from the normbase
bibliography
index
1 introduction
1.1 information and information systems
1.2 problems and challenges in information systems
1.3 approaches and methods for information systems development
1.4 measur: a semiotic approach to information systems
1.5 about this book
part one semiotic framework and methods
2 understanding semiotics
2.1 signs and their functions
2.2 semiosis and learning
2.3 semiotics in computing
2.4 semiotics in organisations and information systems
3 a semiotic framework for information systems
3.1 philosophical stance
3.1.10bjectivist paradigm
3.1.2 subjectivist paradigm
3.1.3 radical subjectivist paradigm
3.2 the semiotic framework
3.2.1 physics
.3.2.2 empirics
3.2.3 syntactics
3.2.4 semantics
3.2.5 pragmatics
3.2.6 the social level
3.3 an example of semiotic analysis
4 a semiotic approach to information systems development
4.1 measur
4.2 how measur can help in information systems development
4.2.1 infrastructure analysis
4.2.2 systems analysis, design and implementation
4.3 summary
5 knowledge representation and information analysis
5.1 some basic considerations in knowledge representation
5.1.1 expressive adequacy and notional efficiency
5.1.2 semantic primitives
5.1.3 types of knowledge
5.2 representation approaches
5.2.1 typical examples
5.2.2 conceptual graphs
5.3 some fundamental issues of information analysis
5.4 the role of information analysis
6 semantic analysis
6.1 theoretical aspects of semantic analysis
6.1.1 affordances
6.1.2 ontology and some other fundamental notions
6.2 norma
6.2.1 well-formed formula
6.2.2 affordance and ontological dependency
6.2.3 semiotic behaviour
6.2.4 time
6.2.5 determiner and identity
6.2.6 generic-specific relationship
6.2.7 defining authority and responsibility
6.2.8 graphic representation - ontology chart
6.3 using legol to specify norms
6.4 conducting a semantic analysis
6.4.1 understand the problem domain
6.4.2 generating candidate affordances
6.4.3 candidate grouping
6.4.4 ontology charting
6.4.5 norm analysis
6.5 commentary on semantic analysis
7 pragmatics and communication
7.1 human communication
7.2 other approaches to communication
7.2.1 speech act theory
7.2.2 functional approach
7.2.3 deontic logic for communication
7.3 pragmatic aspect of human communication
7.4 the norm analysis method
7.4.1 the concept of norms
7.4.2 norms in business organisations
7.4.3 norm analysis
7.4.4 norms in computer systems
8 the social layer: modelling organisations as information systems
8.10rganisations as information systems
8.2 the notion of responsibility
8.3 an organisational morphology
8.4 modelling the organisation
8.5 summary: requirements for an effective information modelling method
part two applications
9 from semiotic analysis to systems design
9.1 the semantic aspect of databases
9.2 capturing the semantic aspect
9.3 capturing the time aspect
9.4 ontological modelling for conceptualisation
9.5 intentions, propositional attitudes and consequent operations
9.6 other aspects of databases: facts, beliefs, and knowledge
10 semantic temporal databases
10.1 databases
10.1.1 developments in database management systems
10.1.2 semantic temporal databases
10.2 the semantic templates
10.2.1. defining a semantic template
10.2.2 st for database design
10.3 systems construction
10.4 legol
10.4.1 basic syntactic structure
10.4.2 some important operations
11 normbase: a new approach to information management
11.1 the normbase concept
11.2 the normbase system
11.2.1 the normbase engine
11.2.2 the semantic temporal database
11.2.3 the norm store
11.3 information management with the normbase system
11.4 using semiotic methods with other approaches
11.4.1 relational database for implementation
11.4.2 object-oriented methods for design and implementation
12 case study: development of a land resources information system
12.1 background
12.2 semantic analysis for requirements modelling
12.3 norm analysis
12.4 system design and implementation in the normbase approach
12.5 discussions and conclusions
13 case study: development of a test construction system
13.1 background
13.1.1 contest project
13.1.2 user requirements
13.1.3 why choose semantic analysis?
13.2 system analysis
13.3 system design
13.4 system construction
13.5 discussion and conclusions
appendix a semantic templates and surrogate specification
a.1 definition of st
a.2 examples of using st in discourse modelling
a.3 examples of surrogates
appendix b legol applications in the cris case
b. 1 questions and legol statements
b.2 output from the normbase
bibliography
index
Semiotics in information systems engineering = 信息系统工程中的符号学 /
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