A5086930787- Data Quality and Management
- Semantic Web and Ontologies
- Web Data Mining and Analysis
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Big Data and Business Intelligence
- Time Series Analysis and Forecasting
- Advanced Database Systems and Queries
Hochschule Osnabrück
2020
Due to the rapid development of Internet Things (IoT) and consequently, availability more IoT data sources, mechanisms for searching integrating sources become essential leverage all relevant improving processes services. This paper presents search framework IoTCrawler. The IoTCrawler is not only another framework, it a system systems which connects existing solutions offer interoperability overcome fragmentation. In addition its domain-independent design, features layered approach, offering...
With the introduction of Internet Things (IoT) into every area life, more and applications are created that rely on information collected from IoT sensors. These developed by third-party developers depend a continuous flow but do not operate sensor network themselves. However, in case failures, will be interrupted which pose problem for user/application as well data provider who might able to replace time. Depending requirements application, estimators trained through machine learning...
This paper deals with the use of Quality Information (QoI) in context frameworks for data integration Internet Things (IoT). It analyses existing approaches available to generate measures information quality and proposes a concept integrate real-time QoI calculation into an IoT framework. The approach shows several advantages when it comes fault-detection, or ranking streams searching devices. However, often suffers from missing incomplete metadata. is addressed by knowledge-based approach.