Paper Info
Title
SWM-PnR: Ontology-Based Context-Driven Knowledge Representation for IoT-Enabled Waste Management.
Abstract
Using knowledge-based and semantic technologies in IoT is a very active research and promising area. This paper proposes a method of ontology-based context-driven knowledge representation for IoT-enabled hard waste management as part of a wider international project that aims at building IoT ecosystems for smart cities. The paper presents the development of the waste management ontology, rules, and proposes a multistage data processing method that allows extracting knowledge about specific nontrivial situations on its basis. The paper describes implementation of the proposed system as a web application, where the content types are based on ontology, and data processing occurs according to the proposed algorithm. Benefits of the proposed knowledge-based system are discussed and demonstrated. The proposed approach will significantly improve monitoring and management of waste collection, route planning, and problem reporting.
Year
Venue
Field
2017
NEW2AN
Ontology,Knowledge representation and reasoning,Semantic technology,Computer science,Situation awareness,Decision support system,Context awareness,Waste management,Web application,Waste collection
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
6
6
Name
Order
Citations
PageRank
Inna Sosunova100.68
Arkady B. Zaslavsky2943168.27
Anagnostopoulos, T.381.80
Petr Fedchenkov400.68
O. L. Sadov501.69
Alexey Medvedev6468.13