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Conceptual Modeling - ER 2013

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Table of Contents

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    Book Overview
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    Chapter 1 Big Data—Conceptual Modeling to the Rescue
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    Chapter 2 What’s Up in Business Intelligence? A Contextual and Knowledge-Based Perspective
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    Chapter 3 Modeling and Reasoning with Decision-Theoretic Goals
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    Chapter 4 TBIM: A Language for Modeling and Reasoning about Business Plans
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    Chapter 5 Automated Reasoning for Regulatory Compliance
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    Chapter 6 Is Traditional Conceptual Modeling Becoming Obsolete?
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    Chapter 7 Cognitive Mechanisms of Conceptual Modelling
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    Chapter 8 A Semantic Analysis of Shared References
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    Chapter 9 Are Conceptual Models Concept Models?
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    Chapter 10 Visual Modeling of Business Process Compliance Rules with the Support of Multiple Perspectives
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    Chapter 11 Deciding Data Object Relevance for Business Process Model Abstraction
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    Chapter 12 Matching Business Process Models Using Positional Passage-Based Language Models
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    Chapter 13 Towards an Empirically Grounded Conceptual Model for Business Process Compliance
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    Chapter 14 Improving Business Process Intelligence with Object State Transition Events
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    Chapter 15 A Conceptual Model of Intended Learning Outcomes Supporting Curriculum Development
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    Chapter 16 Conceptual Modeling
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    Chapter 17 Automating the Adaptation of Evolving Data-Intensive Ecosystems
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    Chapter 18 Conceptual Modeling
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    Chapter 19 Minimizing Human Effort in Reconciling Match Networks
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    Chapter 20 Effective Recognition and Visualization of Semantic Requirements by Perfect SQL Samples
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    Chapter 21 Conceptual Modeling
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    Chapter 22 Semantic-Based Mappings
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    Chapter 23 Managing Security Requirements Conflicts in Socio-Technical Systems
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    Chapter 24 Optimising Conceptual Data Models through Profiling in Object Databases
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    Chapter 25 Skyline Queries over Incomplete Data - Error Models for Focused Crowd-Sourcing
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    Chapter 26 Toward an Ontology-Driven Unifying Metamodel for UML Class Diagrams, EER, and ORM2
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    Chapter 27 Towards Ontological Foundations for the Conceptual Modeling of Events
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    Chapter 28 Baquara: A Holistic Ontological Framework for Movement Analysis Using Linked Data
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    Chapter 29 From Structure-Based to Semantics-Based: Towards Effective XML Keyword Search
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    Chapter 30 Combining Personalization and Groupization to Enhance Web Search
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    Chapter 31 Colored Petri Nets for Integrating the Data Perspective in Process Audits
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    Chapter 32 Former students' perception of improvement potential of conceptual modeling in practice
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    Chapter 33 Conceptual Modeling for Ambient Assistance
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    Chapter 34 Empirical Evaluation of the Quality of Conceptual Models Based on User Perceptions: A Case Study in the Transport Domain
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    Chapter 35 Towards the Effective Use of Traceability in Model-Driven Engineering Projects
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    Chapter 36 Modeling Citizen-Centric Services in Smart Cities
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    Chapter 37 Representing and Elaborating Quality Requirements: The QRA Approach
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    Chapter 38 Towards a Strategy-Oriented Value Modeling Language: Identifying Strategic Elements of the VDML Meta-model
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    Chapter 39 Ontological Distinctions between Means-End and Contribution Links in the i * Framework
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    Chapter 40 Applying the Principles of an Ontology-Based Approach to a Conceptual Schema of Human Genome
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    Chapter 41 Ontologies for International Standards for Software Engineering
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    Chapter 42 On the Symbiosis between Enterprise Modelling and Ontology Engineering
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    Chapter 43 Conceptual Modeling
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    Chapter 44 OntoDBench: Interactively Benchmarking Ontology Storage in a Database
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    Chapter 45 Specifying and Reasoning over Socio-Technical Security Requirements with STS-Tool
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    Chapter 46 Lightweight Conceptual Modeling for Crowdsourcing
Attention for Chapter 26: Toward an Ontology-Driven Unifying Metamodel for UML Class Diagrams, EER, and ORM2
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Chapter title
Toward an Ontology-Driven Unifying Metamodel for UML Class Diagrams, EER, and ORM2
Chapter number 26
Book title
Conceptual Modeling
Published by
Springer, Berlin, Heidelberg, November 2013
DOI 10.1007/978-3-642-41924-9_26
Book ISBNs
978-3-64-241923-2, 978-3-64-241924-9
Authors

C. Maria Keet, Pablo Rubén Fillottrani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Researcher 2 9%
Other 1 5%
Unknown 8 36%
Readers by discipline Count As %
Computer Science 13 59%
Psychology 1 5%
Unknown 8 36%