TY  - JOUR
A1  - Hildebrandt, Dieter
T1  - Image-based styling
JF  - The Visual Computer
N2  - The same data can be visualized using various visual styles that each is suitable for specific requirements, e.g., 3D geodata visualized using photorealistic, cartographic, or illustrative styles. In contrast to feature-based styling, image-based styling performed in image space at image resolution allows decoupling styling from image generation and output-sensitive, expressive styling. However, leveraging image-based styling is still impeded. No previous approach allows specifying image-based styling expressively with an extensive inventory of composable operators, while providing styling functionality in a service-oriented, interoperable manner. In this article, we present an interactive system for specifying and providing the functionality of image-based styling. As key characteristics, it separates concerns of styling from image generation and facilitates specifying styling as algebraic compositions of high-level operators using a unified 3D model representation. We propose a generalized visualization model, an image-based styling algebra, two declarative DSLs, an operator taxonomy, an operational model, and a standards-based service interface. The approach facilitates expressive specifications of image-based styling for design, description, and analysis and leveraging the functionality of image-based styling in a service-oriented, interoperable, reusable, and composable manner.
KW  - Styling
KW  - Image-based representation
KW  - Visualization model
KW  - Domain-specific language
KW  - Taxonomy
KW  - Optimization
KW  - Interoperability
KW  - Service-oriented computing
Y1  - 2016
U6  - https://doi.org/10.1007/s00371-015-1073-3
SN  - 0178-2789
SN  - 1432-2315
VL  - 32
SP  - 445
EP  - 463
PB  - Springer
CY  - New York
ER  - 
TY  - GEN
A1  - Sahlmann, Kristina
A1  - Scheffler, Thomas
A1  - Schnor, Bettina
T1  - Ontology-driven Device Descriptions for IoT Network Management
T2  - 2018 Global Internet of Things Summit (GIoTS)
N2  - One particular challenge in the Internet of Things is the management of many heterogeneous things. The things are typically constrained devices with limited memory, power, network and processing capacity. Configuring every device manually is a tedious task. We propose an interoperable way to configure an IoT network automatically using existing standards. The proposed NETCONF-MQTT bridge intermediates between the constrained devices (speaking MQTT) and the network management standard NETCONF. The NETCONF-MQTT bridge generates dynamically YANG data models from the semantic description of the device capabilities based on the oneM2M ontology. We evaluate the approach for two use cases, i.e. describing an actuator and a sensor scenario.
KW  - Internet of Things
KW  - Interoperability
KW  - oneM2M
KW  - Ontology
KW  - Semantic Web
KW  - NETCONF
KW  - YANG
KW  - MQTT
Y1  - 2018
SN  - 978-1-5386-6451-3
U6  - https://doi.org/10.1109/GIOTS.2018.8534569
SP  - 295
EP  - 300
PB  - IEEE
CY  - New York
ER  -