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Conceptual Modeling

Overview of attention for book
Cover of 'Conceptual Modeling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Why Philosophize; Why not Just Model?
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    Chapter 2 Methodologies for Semi-automated Conceptual Data Modeling from Requirements
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    Chapter 3 Aligning Business Goals and Risks in OSS Adoption
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    Chapter 4 Pragmatic Requirements for Adaptive Systems: A Goal-Driven Modeling and Analysis Approach
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    Chapter 5 Stress Testing Strategic Goals with SWOT Analysis
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    Chapter 6 A Method to Align Goals and Business Processes
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    Chapter 7 Detecting the Effects of Changes on the Compliance of Cross-Organizational Business Processes
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    Chapter 8 Conceptual Modeling
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    Chapter 9 Extending the Foundations of Ontology-Based Conceptual Modeling with a Multi-level Theory
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    Chapter 10 Logical Design Patterns for Information System Development Problems
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    Chapter 11 A middle-level ontology for context modelling
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    Chapter 12 An Ontology Design Pattern to Represent False-Results
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    Chapter 13 Ontology Engineering by Combining Ontology Patterns
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    Chapter 14 Towards a Service Ontology Pattern Language
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    Chapter 15 Incremental Checking of OCL Constraints with Aggregates Through SQL
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    Chapter 16 Probabilistic Cardinality Constraints
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    Chapter 17 SQL Data Profiling of Foreign Keys
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    Chapter 18 From Web Tables to Concepts: A Semantic Normalization Approach
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    Chapter 19 Toward RDF Normalization
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    Chapter 20 Design Dimensions for Business Process Architecture
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    Chapter 21 A Conceptual Framework for Large-scale Ecosystem Interoperability
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    Chapter 22 Flexible Data Management across XML and Relational Models: A Semantic Approach
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    Chapter 23 EMF Views: A View Mechanism for Integrating Heterogeneous Models
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    Chapter 24 Gitana: A SQL-Based Git Repository Inspector
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    Chapter 25 Near Real-Time Collaborative Conceptual Modeling on the Web
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    Chapter 26 Dynamic Capabilities for Sustainable Enterprise IT – A Modeling Framework
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    Chapter 27 A Working Model for Uncertain Data with Lineage
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    Chapter 28 Capturing Variability in Adaptation Spaces: A Three-Peaks Approach
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    Chapter 29 Taming Software Variability: Ontological Foundations of Variability Mechanisms
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    Chapter 30 Personalized Knowledge Visualization in Twitter
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    Chapter 31 A Multi-dimensional Approach to Crowd-Consensus Modeling and Evaluation
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    Chapter 32 Principles for Modeling User-Generated Content
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    Chapter 33 Ranking Friendly Result Composition for XML Keyword Search
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    Chapter 34 How is Life for a Table in an Evolving Relational Schema? Birth, Death and Everything in Between
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    Chapter 35 Inferring Versioned Schemas from NoSQL Databases and Its Applications
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    Chapter 36 Schema Discovery in RDF Data Sources
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    Chapter 37 Learning Relationships Between the Business Layer and the Application Layer in ArchiMate Models
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    Chapter 38 Mining Process Task Post-Conditions
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    Chapter 39 Conceptual Modeling for Financial Investment with Text Mining
  41. Altmetric Badge
    Chapter 40 Breaking the Recursivity: Towards a Model to Analyse Expert Finders
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    Chapter 41 Static Weaving in Aspect Oriented Business Process Management
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    Chapter 42 Tangible Modelling to Elicit Domain Knowledge: An Experiment and Focus Group
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    Chapter 43 The REA Accounting Model: Enhancing Understandability and Applicability
  45. Altmetric Badge
    Chapter 44 A Schema-Less Data Model for the Web
  46. Altmetric Badge
    Chapter 45 An Analysis and Characterisation of Publicly Available Conceptual Models
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    Chapter 46 An Extended ER Algebra to Support Semantically Richer Queries in ERDBMS
  48. Altmetric Badge
    Chapter 47 Enhancing Entity-Relationship Schemata for Conceptual Database Structure Models
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
patent
1 patent

Readers on

mendeley
11 Mendeley
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Title
Conceptual Modeling
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-25264-3
ISBNs
978-3-31-925264-3, 978-3-31-925263-6
Authors

Paul Johannesson, Mong Li Lee, Stephen W. Liddle, Andreas L. Opdahl, Óscar Pastor López

Editors

Johannesson, Paul, Lee, Mong Li, Liddle, Stephen W., Opdahl, Andreas L., Pastor López, Óscar

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Master 2 18%
Student > Bachelor 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 6 55%
Arts and Humanities 1 9%
Engineering 1 9%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 28 August 2018.
All research outputs
#2,418,706
of 22,833,393 outputs
Outputs from Lecture notes in computer science
#507
of 8,127 outputs
Outputs of similar age
#36,052
of 353,186 outputs
Outputs of similar age from Lecture notes in computer science
#39
of 257 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 353,186 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 89% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.