1. Knowledge Management System for Semantic Sensor Data
- Author
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Sanaz Lakestani, Musa Milli, Mehmet Milli, and Özlem Aktaş
- Subjects
Syntax (programming languages) ,Computer science ,Distributed computing ,010401 analytical chemistry ,02 engineering and technology ,computer.file_format ,Reuse ,Ontology (information science) ,semantic sensor network ,ontology modeling ,Semantic data model ,real-time monitoring ,01 natural sciences ,0104 chemical sciences ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,stream data ,RDF ,Wireless sensor network ,computer - Abstract
28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORK, The increasing number of wireless sensor networks, which are used extensively in industrial areas, has led to a tremendous increase in the data obtained from the sensors. This uncontrolled increase makes it difficult for managing and storing of data. Moreover, the lack of infrastructure to ensure the integrity of meaning between the data makes it impossible to share, reuse and interpret the data by machines. These inabilities can cause some problems like cannot managing together between separate wireless sensor networks due to the subtle variations in their sensing methods, operating systems, syntax, and data structure. To address all these problems, a semantic sensor network approach has been introduced which provides a common standard for sensor data and aims to enhance their meaning. In this study, semantic model with real-world usage from sensor networks measuring some laboratory parameters is proposed. In order to evaluate the proposed system, a series of semantic queries were prepared and applied to the obtained sensor data. The results show that sensor data can be managed on a common infrastructure using ontologies., Istanbul Medipol Univ
- Published
- 2020