Abstract
This paper presents a semantic conceptual framework and definition of environmental monitoring and surveillance and demonstrates an ontology implementation of the framework. This framework is defined in a mathematical formulation and is built upon and focused on the notation of observation systems. This formulation is utilized in the analysis of the observation system. Three taxonomies are presented, namely, the taxonomy of (1) the sampling method, (2) the value format and (3) the functionality. The definition of concepts and their relationships in the conceptual framework clarifies the task of querying for information related to the state of the environment or conditions related to specific events. This framework aims to make the observation system more queryable and therefore more interactive for users or other systems. Using the proposed semantic conceptual framework, we derive definitions of the distinguished tasks of monitoring and surveillance. Monitoring is focused on the continuous assessment of an environment state and surveillance is focused on the collection of all data relevant for specific events. The proposed mathematical formulation is implemented in the format of the computer readable ontology. The presented ontology provides a general framework for the semantic retrieval of relevant environmental information. For the implementation of the proposed framework, we present a description of the Intelligent Forest Fire Video Monitoring and Surveillance system in Croatia. We present the implementation of the tasks of monitoring and surveillance in the application domain of forest fire management.
Highlights
Monitoring and surveillance gives us the ability to assess various situations in distant locations
We present this tool in the form of a conceptual framework consisting of a formal notation and taxonomies describing the main features of parts of the system, and an ontology implementation that is capable of query processing
In this paper we proposed a semantic conceptual framework for environmental monitoring and surveillance
Summary
Monitoring and surveillance gives us the ability to assess various situations in distant locations. Having conceptual knowledge about an observation system’s capabilities and limitations and its direct relationship to the environmental conditions would make environmental management planning more comprehensible This fact is the motivation for the work presented in this paper—to offer a formal and a conceptual description that will aid in the general usage of observation system data for various tasks in many domains. The conceptual framework presented here offers the aggregation of knowledge regarding environmental monitoring and surveillance system design and utilization in a compact manner. Embedding such knowledge into an ontology can provide environmental managers with a useful tool. Apart from the abovementioned general applications, we hope that new, unexpected applications will emerge when the framework is applied to specific domains of monitoring systems
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