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Conceptual Modeling - ER 2013

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Cover of 'Conceptual Modeling - ER 2013'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  31. Altmetric Badge
    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
  40. Altmetric Badge
    Chapter 39 Ontological Distinctions between Means-End and Contribution Links in the i * Framework
  41. Altmetric Badge
    Chapter 40 Applying the Principles of an Ontology-Based Approach to a Conceptual Schema of Human Genome
  42. Altmetric Badge
    Chapter 41 Ontologies for International Standards for Software Engineering
  43. Altmetric Badge
    Chapter 42 On the Symbiosis between Enterprise Modelling and Ontology Engineering
  44. Altmetric Badge
    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
  47. Altmetric Badge
    Chapter 46 Lightweight Conceptual Modeling for Crowdsourcing
Attention for Chapter 9: Are Conceptual Models Concept Models?
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog

Citations

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2 Dimensions

Readers on

mendeley
28 Mendeley
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Chapter title
Are Conceptual Models Concept Models?
Chapter number 9
Book title
Conceptual Modeling
Published in
Lecture notes in computer science, November 2013
DOI 10.1007/978-3-642-41924-9_9
Book ISBNs
978-3-64-241923-2, 978-3-64-241924-9
Authors

Partridge, Chris, Gonzalez-Perez, Cesar, Henderson-Sellers, Brian, Chris Partridge, Cesar Gonzalez-Perez, Brian Henderson-Sellers

Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 7%
Germany 1 4%
Brazil 1 4%
Unknown 24 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Master 4 14%
Professor 3 11%
Researcher 3 11%
Student > Doctoral Student 2 7%
Other 1 4%
Unknown 9 32%
Readers by discipline Count As %
Computer Science 13 46%
Business, Management and Accounting 3 11%
Engineering 2 7%
Arts and Humanities 1 4%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2013.
All research outputs
#5,627,761
of 22,731,677 outputs
Outputs from Lecture notes in computer science
#1,789
of 8,126 outputs
Outputs of similar age
#50,301
of 212,947 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 64 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 212,947 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.