Advances in Conceptual Modeling

Table of Contents

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   Book Overview
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   Chapter 1 Towards a Core Ontology for Scientific Research Activities
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   Chapter 2 Aligning DMBOK and Open Government with the FAIR Data Principles
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   Chapter 3 Exploring Reproducibility and FAIR Principles in Data Science Using Ecological Niche Modeling as a Case Study
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   Chapter 4 Realizing Traceability from the Business Model to Enterprise Architecture
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   Chapter 5 Creation of Multiple Conceptual Models from User Stories – A Natural Language Processing Approach
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   Chapter 6 Towards a Catalog of Goals for Strategic Coopetition
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   Chapter 7 Early Identification of Potential Distributed Ledger Technology Business Cases Using e 3 value Models
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   Chapter 8 Exploiting Conceptual Modeling for Searching Genomic Metadata: A Quantitative and Qualitative Empirical Study
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    Chapter 9 What Are Real JSON Schemas Like?
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    Chapter 10 Getting to Win-Win in Inter-organizational Relationships Through Customer Segmentation
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    Chapter 11 Facilitating Data Exploration in Industry 4.0
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    Chapter 12 Towards Understanding Aggressive Behavior in Residential Care Facilities Using Process Mining
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    Chapter 13 On Complex Value Relations in Hive
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    Chapter 14 Data Capture and Analyses from Conversational Devices in the Homes of the Elderly
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    Chapter 15 GORO 2.0: Evolving an Ontology for Goal-Oriented Requirements Engineering
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    Chapter 16 Using Ontologies for Comparing Modeling Techniques: Experience Report
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    Chapter 17 Domain Ontology for Digital Marketplaces
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    Chapter 18 Exploring Semantics in Clinical Data Interoperability
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    Chapter 19 Framework for Construction and Incremental Maintenance of High-Quality Linked Data Mashup
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    Chapter 20 A Reference Architecture for Customizable Marketplaces
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    Chapter 21 Keyword Search Algorithm over Large RDF Datasets
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    Chapter 22 Representing the Filter Bubble: Towards a Model to Diversification in News
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    Chapter 23 The OntoOO-Method: An Ontology-Driven Conceptual Modeling Approach for Evolving the OO-Method
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    Chapter 24 Stochastic Models to Improve E-News Recommender Systems