A5084289174- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- IoT and Edge/Fog Computing
- Scientific Computing and Data Management
- Context-Aware Activity Recognition Systems
- Advanced Graph Neural Networks
- Graph Theory and Algorithms
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Anomaly Detection Techniques and Applications
- Data Quality and Management
- Cloud Computing and Resource Management
- Advanced Computational Techniques and Applications
- Peer-to-Peer Network Technologies
- Multimodal Machine Learning Applications
- Geographic Information Systems Studies
- Data Stream Mining Techniques
- Caching and Content Delivery
- Video Surveillance and Tracking Methods
- Research Data Management Practices
- Energy Efficient Wireless Sensor Networks
- Advanced Neural Network Applications
- Privacy-Preserving Technologies in Data
Technische Universität Berlin
2016-2024
Fraunhofer Institute for Open Communication Systems
2017-2024
Berliner Hochschule für Technik
2018
GE Global Research (United States)
2018
King Saud bin Abdulaziz University for Health Sciences
2018
FORTH Institute of Electronic Structure and Laser
2018
Foundation for Research and Technology Hellas
2018
Vienna University of Economics and Business
2018
Humboldt-Universität zu Berlin
2018
Ollscoil na Gaillimhe – University of Galway
2007-2016
The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations — the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. can in terms of capabilities, measurement processes, deployments. This article describes ontology. It further gives example use recent research projects.
Today, the Internet of Things (IoT) comprises vertically oriented platforms for things. Developers who want to use them need negotiate access individually and adapt platform-specific API information models. Having perform these actions each platform often outweighs possible gains from adapting applications multiple platforms. This fragmentation IoT missing interoperability result in high entry barriers developers prevent emergence broadly accepted ecosystems. The BIG (Bridging...
The joint W3C (World Wide Web Consortium) and OGC (Open Geospatial Spatial Data on the (SDW) Working Group developed a set of ontologies to describe sensors, actuators, samplers as well their observations, actuation, sampling activities. have been published bot h recommendation an implementation standard. includes lightweight core module called SOSA (Sensor, Observation, Sampler, Actuator) available at: http://www.w3.org/ns/sosa/, more expressive extension SSN (Semantic Sensor Network)...
The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL~2 ontology to describe sensors and observations --- the SSN ontology. can in terms of capabilities, measurement processes, deployments. This article describes It further gives example use recent research projects.
The use of RDF data published on the Web for applications is still a cumbersome and resource-intensive task due to limited software support lack standard programming paradigms deal with everyday problems such as combination from dierent sources, object identifier consolidation, ontology alignment mediation, or plain querying filtering tasks. In this paper we present framework, Semantic Pipes, that supports fast implementation mash-ups while preserving desirable properties abstraction,...
Sensor technology and sensor networks have evolved so rapidly that they are now considered a core driver of the Internet Things (IoT), however data analytics on IoT streams is still in its infancy. This paper introduces an approach to by using OpenIoT <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> middleware; real time event processing clustering algorithms been used for this purpose. The platform has extended support stream thus we...
This paper introduces the stack for service delivery models and interoperability in Internet of Things. The main characteristics functional layers IoT are described. applicability is described based on particular use cases deployed pilots. validation terms functionality adaptation at different areas Virtual Development Kit (VDK) developed implemented within framework OpenIoT project-OpenIoT project awarded Things open-source rookie year by BlackDuck Software Co. (www.github.com/OpenIotOrg)....
Data owners are creating an ever richer set of information resources online, and these being used for more applications. Spatial data on the Web is becoming ubiquitous voluminous with rapid growth location-based services, spatial technologies, dynamic services published by different organizations. However, heterogeneity peculiarities data, such as use coordinate reference systems, make it difficult users, applications, to discover, interpret in large distributed system that Web. To...
Within the vision of ubiquitous multimedia, using multimedia sensor nodes, such as audio, image, and video in wireless networks can dramatically enhance capability for event description. Different kinds holes easily appear networks. For example, tens nodes consist a hole small area because overload. Efficiently reliably transmit these streaming data back to base station while bypassing static or dynamic is one key challenge issues. In this paper, we propose new Two Phase geographical Greedy...