Content

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   Abstract
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   Acknowledgments
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   Contents
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   List of figures
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   List of tables
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   List of code listings
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   Research Topic
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   1 Introduction
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   1.1 Research questions and contribution
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   1.2 Outline
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   Preliminaries
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   2 Graph-based knowledge representation and management
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   2.1 Data, information, and knowledge modeling
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   2.2 Graphs and their role in intelligent systems
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   2.3 Graph-based Knowledge management
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   2.3.1 NoSQL: Graph databases
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   2.3.2 Graph query languages
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   2.3.2.1 Cypher
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   2.3.2.2 SPARQL
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   2.3.2.3 Gremlin
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   2.3.2.4 Other
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   2.4 Summary
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  3 Model-driven software engineering
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  3.1 Foundations and introduction
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   3.1.1 Models and transformations
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   3.1.2 Domain-specific languages
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   3.1.2.1 Benefits and challenges of DSLs
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   3.1.2.2 DSL variants
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   3.1.2.3 DSL semantics
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   3.1.2.4 Language composition
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   3.1.2.5 Language workbenches
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   3.1.3 Benefits of MDSE
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   3.2 Application of MDSE in adjacent domains
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   3.3 MDSE development process
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   3.4 Summary
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   Modeling interaction relevant knowledge in smart environments
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  4 A model of interaction relevant data
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   4.1 Embodied interaction in smart environments
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  4.2 Domain analysis
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   4.2.1 The CSRA Project
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   4.2.2 Roles, responsibilities, and required knowledge
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   4.2.3 Knowledge queries in the EISE domain
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   4.3 Related work
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   4.4 A multimodal interaction corpus
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   4.5 An ontology of interaction relevant knowledge
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   4.5.1 Smart environment ontologies
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   4.5.2 Ontologies in robotics
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   4.5.3 Gaph-based approaches
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   4.5.4 The EISE ontology
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   4.6 Summary
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  5 Conceptualizations for model-based query composition
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   5.1 Objectives and requirements
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   5.1.1 Requirements
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   5.1.2 Functional requirements
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   5.1.3 Non-functional requirements
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   5.2 Related work
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   5.3 System architecture
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   5.4 Extensible graph query language composition
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   5.4.1 Representation of graphs
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   5.4.2 Representation of pattern matching queries
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   5.4.3 Representation of domain descriptions
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   5.4.4 Representation of time
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   5.4.5 Plug-ins and implementation modules
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   5.5 Technology mapping
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   5.6 Summary
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   Model-based support for behavior developers
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  6 Implementation and practical concerns
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   6.1 Language implementation
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   6.1.1 Language composition
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   6.1.2 Graphs and graph query languages
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   6.1.3 Domain description language
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   6.1.4 Time languages
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   6.1.5 Transformations and generation of queries
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   6.1.6 Language pragmatics
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   6.1.6.1 Visualization
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   6.1.6.2 Query analysis
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   6.1.6.3 Language composition visualization
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   6.2 Automation aspects in applied MDSE research
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   6.2.1 Continuous integration of DSLs
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   6.2.2 Language deployment: A DSL plug-in server
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   6.3 User perspective: The EISE Query Designer
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   6.4 Summary
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   Evaluation of MDSE approaches
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   7 Evaluation and application
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   7.1 Introduction to MDSD evaluation
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   7.2 Evaluation metrics
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   7.3 Evaluation of the EISE Query Designer
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   7.3.1 Methods and study design
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   7.3.2 Measurements
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   7.3.3 Study results
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   7.3.4 Discussion
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   7.4 Summary
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   Perspectives
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   8 Outlook
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   9 Conclusion
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   Appendix
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  A Evaluation Appendix
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   A.1 Full questionnaire
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  A.2 Study information material
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   A.2.1 Cypher information material
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   A.2.2 EISE Domain information material
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  A.2.3 Tool information material
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   A.2.3.1 Neo4j tool information material
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   A.2.3.2 MPS tool information material
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   A.2.4 Task material
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   A.3 Ethics documents
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   A.4 Ethics committee application
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   A.5 Consent form
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  A.6 Questionnaire results
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  A.6.1 Feedback
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   A.6.1.1 Tool feedback
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   A.6.1.2 Study feedback
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   A.6.1.3 Other feedback
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   Acronyms
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   Glossary
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  Bibliography
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   Involved and own publications
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   General
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   Online resources
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   Software packages
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   Declaration
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   Colophon