Titlebook: Semantic IoT: Theory and Applications; Interoperability, Pr Rajiv Pandey,Marcin Paprzycki,Katarzyna Wasielewsk Book 2021 Springer Nature Sw

Limousine

Creation of Ontological Knowledge Bases in the Semantic Web by Analyzing Table Structuresologies raises a number of problems associated with the development of information structures of ontological knowledge bases for automatic processing of data and knowledge. The subject of the research is the ontological knowledge base and methods of their formation within the framework of the Semant

Climate

Semantic Techniques to Support IoT Interoperabilityunicate with each other and collect information. One of the most challenging issues regarding the use of such sensors regards the possibility to seamlessly make them interoperate to reach a specific goal. This objective could be difficult to achieve, due to the lack of a universally accepted standar

ordain

Semantic IoT Interoperability and Data Analytics Using Machine Learning in Healthcare Sectorf data has resulted in big data that may be in indeterminate form. The challenge is to extract meaningful data from internet sources that are spreading across multiple domains and to enable consistent resource sharing, interoperability on multiple IoT platforms. The use of emerging technologies like

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影响

How to Understand Better “Smart Vehicle”? Knowledge Extraction for the Automotive Sector Using Web oe required to build a smart vehicle application (e.g., driver assistance system)? Automotive companies (e.g., Toyota, BMW, Renault) are employing Internet of Things (IoT) and Semantic Web technologies to model the automotive sector. We aggregate this “common sense knowledge” in a automotive dataset

GEM

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Book 2021omain-specific IoT deployments. ..Taking into account the way that IoT ecosystems are realized, several challenges can be identified. Among them of definite importance are (this list is, obviously, not exhaustive): (i) How to provide common representation and/or shared understanding of data that wil

Genetics

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Semantic Web TechnologiesThis feature is focused with the help of provenance data model. Authors discussed semantic web implementations such as semantic web desktop, geospatial semantic web etc. and their applications in different fields such as agriculture, healthcare, and IoT.