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DOI: 10.5445/IR/1000030801

Handling Live Sensor Data on the Semantic Web

Hummel, Thomas

Abstract:
The increased linking of objects in the Internet of Things and the ubiquitous flood of data and information require new technologies in data processing and data storage in particular in the Internet and the Semantic Web.
Because of human limitations in data collection and analysis, more and more automatic methods are used. Above all, these sensors or similar data producers are very accurate, fast and versatile and can also provide continuous monitoring even places that are hard to reach by people.
The traditional information processing, however, has focused on the processing of documents or document-related information, but they have different requirements compared to sensor data. The main focus is static information of a certain scope in contrast to large quantities of live data that is only meaningful when combined with other data and background information.
The paper evaluates the current status quo in the processing of sensor and sensor-related data with the help of the promising approaches of the Semantic Web and Linked Data movement. This includes the use of the existing sensor standards such as the Sensor Web Enablement (S ... mehr


Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Hochschulschrift
Jahr 2012
Sprache Englisch
Identifikator URN: urn:nbn:de:swb:90-308014
KITopen ID: 1000030801
Verlag Karlsruhe
Umfang XI, 64 S.
Abschlussart Abschlussarbeit - Bachelor
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