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Conceptual Modeling

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Cover of 'Conceptual Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 The Universal Ontology: A Vision for Conceptual Modeling and the Semantic Web (Invited Paper)
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    Chapter 2 CE-SIB: A Modelling Method Plug-in for Managing Standards in Enterprise Architectures
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    Chapter 3 A Catalogue of Reusable Context Model Elements Based on the i* Framework
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    Chapter 4 Modelling Processes with Time-Dependent Control Structures
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    Chapter 5 Towards Rearchitecting Meta-Models into Multi-level Models
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    Chapter 6 Mining Goal Refinement Patterns: Distilling Know-How from Data
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    Chapter 7 Goal-Oriented Regulatory Intelligence: How Can Watson Analytics Help?
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    Chapter 8 An Alternative Approach to Metainformation Conceptualisation and Use
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    Chapter 9 Schema Evolution and Foreign Keys: Birth, Eviction, Change and Absence
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    Chapter 10 Conceptual Modelling of Autonomous Multi-cloud Interaction with Reflective Semantics
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    Chapter 11 Querying Graph Databases: What Do Graph Patterns Mean?
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    Chapter 12 Scaffolding Relational Schemas and APIs from Content in Web Mockups
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    Chapter 13 SourceVote: Fusing Multi-valued Data via Inter-source Agreements
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    Chapter 14 Level-Aware Ecosystem Transformations for Industrial Lifecycle Interoperability
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    Chapter 15 Conceptual Modeling: Enhancement Through Semiotics
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    Chapter 16 Towards an Ontology for Privacy Requirements via a Systematic Literature Review
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    Chapter 17 What Happens to Intentional Concepts in Requirements Engineering if Intentional States Cannot Be Known?
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    Chapter 18 Goal Models for Acceptance Requirements Analysis and Gamification Design
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    Chapter 19 Modeling Regulatory Ambiguities for Requirements Analysis
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    Chapter 20 An Experimental Evaluation of the Understanding of Safety Compliance Needs with Models
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    Chapter 21 Cardinality Constraints with Probabilistic Intervals
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    Chapter 22 Contextual Keys
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    Chapter 23 A Comprehensive Formal Theory for Multi-level Conceptual Modeling
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    Chapter 24 Alignment-Based Trace Clustering
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    Chapter 25 The Conceptual Modelling of Dynamic Teams for Autonomous Systems
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    Chapter 26 Conceptual Modeling for Genomics: Building an Integrated Repository of Open Data
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    Chapter 27 Towards Thinking Manufacturing and Design Together: An Aeronautical Case Study
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    Chapter 28 OCL $$_\textsf {UNIV}$$ UNIV : Expressive UML/OCL Conceptual Schemas for Finite Reasoning
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    Chapter 29 Goal Orchestrations: Modelling and Mining Flexible Business Processes
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    Chapter 30 Configurable and Executable Task Structures Supporting Knowledge-Intensive Processes
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    Chapter 31 Various Notions of Soundness for Decision-Aware Business Processes
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    Chapter 32 Data, Control, and Process Flow Modeling for IoT Driven Smart Solutions
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    Chapter 33 Determining the Preferred Representation of Temporal Constraints in Conceptual Models
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    Chapter 34 User Perception of Numeric Contribution Semantics for Goal Models: An Exploratory Experiment
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    Chapter 35 On the Impact of the Model-Based Representation of Inconsistencies to Manual Reviews
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    Chapter 36 On the Semantics of Ongoing and Future Occurrence Identifiers
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    Chapter 37 Ontological Evolutionary Encoding to Bridge Machine Learning and Conceptual Models: Approach and Industrial Evaluation
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    Chapter 38 The OntoREA© Accounting and Finance Model: Ontological Conceptualization of the Accounting and Finance Domain
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    Chapter 39 Teleologies: Objects, Actions and Functions
Attention for Chapter 30: Configurable and Executable Task Structures Supporting Knowledge-Intensive Processes
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Chapter title
Configurable and Executable Task Structures Supporting Knowledge-Intensive Processes
Chapter number 30
Book title
Conceptual Modeling
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-69904-2_30
Book ISBNs
978-3-31-969903-5, 978-3-31-969904-2
Authors

Nicolas Mundbrod, Manfred Reichert

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Student > Master 2 11%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 2 11%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Computer Science 5 28%
Business, Management and Accounting 3 17%
Mathematics 1 6%
Earth and Planetary Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 7 39%