Title | ||
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Role-based ontology-driven knowledge representation for IoT-enabled waste management. |
Abstract | ||
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We propose a method of Role-based Ontology-driven Knowledge Representation for IoT-enabled Waste Management. The creation of the ontology, rules, and a multistage data processing method that allows extracting knowledge about specific nontrivial situations on its basis are described. The implementation of the proposed system in the form of a web application, the content types of which are based on ontology, and data processing occurs according to the proposed algorithm are discussed and demonstrated. |
Year | Venue | Field |
---|---|---|
2017 | IOT | Ontology,Data processing,Knowledge representation and reasoning,Situation awareness,Computer science,Internet of Things,Context awareness,Waste management,Web application |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Inna Sosunova | 1 | 2 | 1.35 |
Arkady B. Zaslavsky | 2 | 943 | 168.27 |
Petr Fedchenkov | 3 | 11 | 2.90 |