Inhalt

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   Title
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   Abstract
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   Acknowledgements
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   Publications
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   Contents
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   Acronyms
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  1 Introduction
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   1.1 The Sensor Web
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   1.1.1 The need of semantics for the Sensor Web
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   1.1.2 Sensor Plug and Play
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   1.2 Observation
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   1.2.1 Observation vs measurement
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   1.2.2 Observation ontologies
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   1.2.3 Discussion
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  1.3 Resolution
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   1.3.1 Related work to the thesis
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   1.3.2 Discussion
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   1.4 Requirements of the theory to be developed
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   1.5 Tour of the contents
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  2 Conceptual analysis of resolution
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   2.1 Introduction
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   2.2 Resolution and related notions
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  2.3 Proxy measures for resolution
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   2.3.1 A unifying framework for resolution and related notions
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   2.3.2 Using the framework suggested
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   2.4 Accommodating variability in word usage
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   2.5 Summary
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  3 Ontology development method
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   3.1 Definition of ontology
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   3.2 Relevance of ontology research to GIScience
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  3.3 Research method
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   3.3.1 Philosophical standpoint
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   3.3.2 Research method: a bird's-eye view
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   3.3.3 Design (or modelling) stage
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   3.3.4 Implementation (or encoding) stage
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   3.3.5 Ontology languages
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   3.3.6 Evaluation
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   3.3.7 Documentation
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   3.3.8 Discussion
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  3.4 Related work
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   3.4.1 Foundational ontologies
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   3.4.2 Geo-ontologies
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   3.4.3 Discussion
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   3.5 Summary
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  4 Ontology design stage - resolution of single observations
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   4.1 Motivating scenario
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   4.2 Viewpoint on space and time
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  4.3 Identification of the terms of the ontology (Part I)
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   4.3.1 Reuse of existing ontologies
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   4.3.2 Foundational ontology and ontology design language
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   4.3.3 Terms of the ontology: resolution of a single observation
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   4.3.4 Examples of SRF and TRW for a single observation
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   4.3.5 Alignment to DOLCE: resolution of an observation
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   4.4 Formal specification: resolution of a sensor observation
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   4.5 Summary
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  5 Ontology design stage - resolution of observation collections
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   5.1 Introduction
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  5.2 Identification of the terms of the ontology (Part II)
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   5.2.1 Observation collection
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   5.2.2 Terms of the ontology: resolution of an observation collection
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   5.2.3 Resolution of an observation collection: illustrative example
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   5.2.4 Alignment to DOLCE: resolution of an observation collection
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   5.2.5 Dependency between the resolution of an observation collection and the resolution of its member observations
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   5.3 Formal specification: observation collection resolution
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   5.4 Is a high value for resolution always desirable?
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   5.5 Summary
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  6 Ontology design patterns for resolution
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   6.1 Ontology design pattern
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   6.2 Resolution of a single observation
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   6.3 Resolution of an observation collection
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   6.4 Validation of the ontology design patterns
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  6.5 ODPs for resolution and the Semantic Sensor Web
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   6.5.1 Refining the ODP for spatial data quality characterization
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   6.5.2 Mappings between the ODPs for resolution and the ODP for spatial data quality characterization
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   6.6 Summary
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  7 Ontology of resolution - implementation stage
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   7.1 Ontology implementation: language and tool
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   7.2 Implementation of the motivating scenario
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   7.2.1 Resolution of an observation
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   7.2.2 Resolution of an observation collection
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   7.2.3 Discussion
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   7.3 Further application scenarios
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   7.3.1 Retrieval of Flickr data at a certain temporal resolution
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   7.3.2 Expressing resolution qualitatively
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   7.3.3 The Linked Brazilian Amazon Rainforest Data
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   7.3.4 Cross-comparison of average values for air quality in Europe
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   7.4 Summary
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  8 Conclusion
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   8.1 Novel contributions
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  8.2 Importance of the work
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   8.2.1 Observation ontologies
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   8.2.2 Ontology development and evaluation
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   8.2.3 Semantic interoperability
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   8.3 Limitations
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  8.4 Future work
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   8.4.1 Incorporation of complex arithmetic operations in OWL/SWRL
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   8.4.2 Spatio-temporal aggregation
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   8.4.3 Thematic resolution
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   8.4.4 Ontology design patterns for quality characterization in the SSW
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   8.4.5 The implementation-design continuum
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   References
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   A Terms of the ontology
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   B Proof
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   C Location of an observation
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   D Comparing resolutions
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   E ODPs aligned to DOLCE
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   F Ontology's summary