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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 Improving the Correctness of Some Database Research Using ORA-Semantics
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    Chapter 2 Conceptual Modeling of Life: Beyond the Homo Sapiens
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    Chapter 3 A Conceptual Modeling Framework for Business Analytics
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    Chapter 4 NOSQL Design for Analytical Workloads: Variability Matters
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    Chapter 5 Translating Bayesian Networks into Entity Relationship Models
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    Chapter 6 Key Performance Indicator Elicitation and Selection Through Conceptual Modelling
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    Chapter 7 Insights on the Use and Application of Ontology and Conceptual Modeling Languages in Ontology-Driven Conceptual Modeling
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    Chapter 8 An Ontological Approach for Identifying Software Variants: Specialization and Template Instantiation
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    Chapter 9 The Role of Ontology Design Patterns in Linked Data Projects
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    Chapter 10 Bridging the IT and OT Worlds Using an Extensible Modeling Language
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    Chapter 11 Possibilistic Cardinality Constraints and Functional Dependencies
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    Chapter 12 Exploring Views for Goal-Oriented Requirements Comprehension
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    Chapter 13 Keys with Probabilistic Intervals
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    Chapter 14 On Referring Expressions in Information Systems Derived from Conceptual Modelling
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    Chapter 15 DeepTelos: Multi-level Modeling with Most General Instances
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    Chapter 16 Pragmatic Quality Assessment for Automatically Extracted Data
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    Chapter 17 UnifiedOCL: Achieving System-Wide Constraint Representations
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    Chapter 18 Building Large Models of Law with NómosT
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    Chapter 19 An Efficient and Simple Graph Model for Scientific Article Cold Start Recommendation
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    Chapter 20 Keyword Queries over the Deep Web
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    Chapter 21 Sensor Observation Service Semantic Mediation: Generic Wrappers for In-Situ and Remote Devices
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    Chapter 22 Probabilistic Evaluation of Process Model Matching Techniques
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    Chapter 23 Context-Aware Workflow Execution Engine for E-Contract Enactment
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    Chapter 24 Annotating and Mining for Effects of Processes
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    Chapter 25 Conceptual Modeling
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    Chapter 26 Conceptual Modeling
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    Chapter 27 Modeling Structured and Unstructured Processes: An Empirical Evaluation
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    Chapter 28 MetaScience: An Holistic Approach for Research Modeling
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    Chapter 29 Comparison and Synergy Between Fact-Orientation and Relation Extraction for Domain Model Generation in Regulatory Compliance
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    Chapter 30 Development of a Modeling Language for Capability Driven Development: Experiences from Meta-modeling
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    Chapter 31 Applying Conceptual Modeling to Better Understand the Human Genome
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    Chapter 32 Data Analytics: From Conceptual Modelling to Logical Representation
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    Chapter 33 UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases
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    Chapter 34 Facilitating Data-Metadata Transformation by Domain Specialists in a Web-Based Information System Using Simple Correspondences
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    Chapter 35 Visualizing User Story Requirements at Multiple Granularity Levels via Semantic Relatedness
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    Chapter 36 User Progress Modelling in Counselling Systems: An Application to an Adaptive Virtual Coach
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    Chapter 37 Stepwise Refinement of Software Development Problem Analysis
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    Chapter 38 Tailoring User Interfaces to Include Gesture-Based Interaction with gestUI
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    Chapter 39 Unlocking Visual Understanding: Towards Effective Keys for Diagrams
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    Chapter 40 MEMO GoalML: A Context-Enriched Modeling Language to Support Reflective Organizational Goal Planning and Decision Processes
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    Chapter 41 Can Goal Reasoning Techniques Be Used for Strategic Decision-Making?
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    Chapter 42 Requirements Evolution and Evolution Requirements with Constrained Goal Models
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    Chapter 43 RationalGRL: A Framework for Rationalizing Goal Models Using Argument Diagrams
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Title
Conceptual Modeling
Published by
Springer International Publishing, November 2016
DOI 10.1007/978-3-319-46397-1
ISBNs
978-3-31-946396-4, 978-3-31-946397-1
Editors

Comyn-Wattiau, Isabelle, Tanaka, Katsumi, Song, Il-Yeol, Yamamoto, Shuichiro, Saeki, Motoshi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Student > Bachelor 1 4%
Lecturer > Senior Lecturer 1 4%
Professor 1 4%
Student > Ph. D. Student 1 4%
Other 2 9%
Unknown 14 61%
Readers by discipline Count As %
Computer Science 7 30%
Business, Management and Accounting 1 4%
Arts and Humanities 1 4%
Unknown 14 61%