Data Compatibility to Enhance Sustainable Capabilities for Autonomous Analytics in IoT
作者： Kaleem Razzaq Malik , Masood Habib , Shehzad Khalid , Farhan Ullah , Muhammad Umar
DOI: 10.3390/SU9060877
关键词:
摘要: The collection of raw data is based on sensors embedded in devices or the environment for real-time extraction. Nowadays, Internet Things (IoT) used to support autonomous by reducing human involvement. It hard analyze such data, especially when working with a environment. On using analytics IoT help RDF, many issues can be resolved. Resultant will have better chance quality reforming into semantical annotation. Industrial correspondence through improved induction semantics at large due efficient capturing, whereas one popular medium sensors’ storage Relational Database (RDB). This study provides complete automated mechanism transform from loosely structured stored RDB RDF. These are obtained semantically annotated RDF stores. given comprises methodology improving compatibility introducing bidirectional transformation between classical DB and stores enhance sustainable capabilities systems analytics. Two case studies, weather another heart-rate measurement collections sensors, show process operation.
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