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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
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Title
Conceptual Modeling - ER 2013
Published by
Springer Berlin Heidelberg, October 2013
DOI 10.1007/978-3-642-41924-9
ISBNs
978-3-64-241923-2, 978-3-64-241924-9
Editors

Ng, Wilfred, Storey, Veda C., Trujillo, Juan

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Student > Master 3 43%
Student > Postgraduate 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Business, Management and Accounting 2 29%
Social Sciences 1 14%
Design 1 14%