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Advances in Conceptual Modeling

Overview of attention for book
Cover of 'Advances in Conceptual Modeling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Model Based Enterprise Simulation and Analysis
  3. Altmetric Badge
    Chapter 2 3D vs. 4D Ontologies in Enterprise Modeling
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    Chapter 3 Applications of Ontologies in Enterprise Modelling: A Systematic Mapping Study
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    Chapter 4 A Semi-clustering Scheme for High Performance PageRank on Hadoop
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    Chapter 5 Energy Consumption Prediction by Using an Integrated Multidimensional Modeling Approach and Data Mining Techniques with Big Data
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    Chapter 6 Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation
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    Chapter 7 A Data Quality in Use Model for Big Data
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    Chapter 8 Business Intelligence and Big Data in the Cloud: Opportunities for Design-Science Researchers
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    Chapter 9 From Business Intelligence to Semantic Data Stream Management
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    Chapter 10 Understandability of Goal Concepts by Requirements Engineering Experts
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    Chapter 11 On the Definition of Self-service Systems
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    Chapter 12 Semantic Monitoring and Compensation in Socio-technical Processes
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    Chapter 13 Modeling Regulatory Compliance in Requirements Engineering
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    Chapter 14 Automated Completeness Check in KAOS
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    Chapter 15 Practical Goal Modeling for Enterprise Change Context: A Problem Statement
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    Chapter 16 A Superstructure for Models of Quality
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    Chapter 17 A Quality Management Workflow Proposal for a Biodiversity Data Repository
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    Chapter 18 Applying a Data Quality Model to Experiments in Software Engineering
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    Chapter 19 Towards Indicators for HCI Quality Evaluation Support
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    Chapter 20 Towards a Qualitative Representation of Movement
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    Chapter 21 Lagrangian Xgraphs: A Logical Data-Model for Spatio-Temporal Network Data: A Summary
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    Chapter 22 Efficient Reverse k NN Query Algorithm on Road Network Distances Using Partitioned Subgraphs
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    Chapter 23 Using the Model-Driven Architecture Approach for Geospatial Databases Design of Ecological Niches and Potential Distributions
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    Chapter 24 OMT-G Designer: A Web Tool for Modeling Geographic Databases in OMT-G
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    Chapter 25 A Model of Aggregate Operations for Data Analytics over Spatiotemporal Objects
  27. Altmetric Badge
    Chapter 26 Natural Language Processing for Linking Online News and Open Government Data
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    Chapter 27 Enterprise Linked Data: A Systematic Mapping Study
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    Chapter 28 Ontology Population from Web Product Information
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    Chapter 29 Service Adaptability Analysis across Semantics and Behavior Levels Based on Model Transformation
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    Chapter 30 Prioritizing Consumer-Centric NFPs in Service Selection
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    Chapter 31 Personal eHealth Knowledge Spaces though Models, Agents and Semantics
  33. Altmetric Badge
    Chapter 32 Lightweight Semantic Prototyper for Conceptual Modeling
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    Chapter 33 SQTime: Time-Enhanced Social Search Querying
Attention for Chapter 3: Applications of Ontologies in Enterprise Modelling: A Systematic Mapping Study
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Chapter title
Applications of Ontologies in Enterprise Modelling: A Systematic Mapping Study
Chapter number 3
Book title
Advances in Conceptual Modeling
Published in
Lecture notes in computer science, October 2014
DOI 10.1007/978-3-319-12256-4_3
Book ISBNs
978-3-31-912255-7, 978-3-31-912256-4
Authors

Vitor Afonso Pinto, Camila Leles de Rezende Rohlfs, Fernando Silva Parreiras

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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 3 10%
Germany 1 3%
South Africa 1 3%
Unknown 25 83%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Professor > Associate Professor 3 10%
Researcher 2 7%
Other 2 7%
Unknown 10 33%
Readers by discipline Count As %
Computer Science 11 37%
Business, Management and Accounting 4 13%
Social Sciences 2 7%
Medicine and Dentistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 November 2014.
All research outputs
#13,066,090
of 22,768,097 outputs
Outputs from Lecture notes in computer science
#3,905
of 8,125 outputs
Outputs of similar age
#119,972
of 260,282 outputs
Outputs of similar age from Lecture notes in computer science
#100
of 214 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 260,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.