Ontology-Driven Situation Assessment System Design and Development in IoT Domains

2020 ◽  
pp. 1465-1483
Author(s):  
Sergey Lebedev ◽  
Michail Panteleyev

An ontology-driven approach to software design and development of situation assessment systems (SAS) for IoT applications is considered. As SAS is used to build the situational model for the external environment, it highly depends on the operational domain. To simplify the transition from the domain description to SAS dataflow process the ontology-driven approach is proposed. The main idea of the approach is to explicitly formalize SAS dataflow process in an ontological form. For this purpose, a domain-independent SAS ontology is proposed that allows automation of the dataflow process design. The dataflow process ontology is used to automate development and runtime stages of SAS lifecycle. The proposed ontology is included into the proposed instrument set. The set can be used to build SAS systems for different domains described with OWL ontology. The set is evaluated on a traffic control scenario.

Author(s):  
Sergey Lebedev ◽  
Michail Panteleyev

An ontology-driven approach to software design and development of situation assessment systems (SAS) for IoT applications is considered. As SAS is used to build the situational model for the external environment, it highly depends on the operational domain. To simplify the transition from the domain description to SAS dataflow process the ontology-driven approach is proposed. The main idea of the approach is to explicitly formalize SAS dataflow process in an ontological form. For this purpose, a domain-independent SAS ontology is proposed that allows automation of the dataflow process design. The dataflow process ontology is used to automate development and runtime stages of SAS lifecycle. The proposed ontology is included into the proposed instrument set. The set can be used to build SAS systems for different domains described with OWL ontology. The set is evaluated on a traffic control scenario.


Author(s):  
Mark D. Rodgers

A system has been developed that graphically re-creates the radar data recorded at En Route air traffic control facilities. Each facility records data sent to the radar displays associated with the airspace under its control on a System Analysis Report (SAR) tape. SATORI (Situation Assessment Through Re-creation of Incidents) overlays the SAR data on the appropriate sector maps using map data from the Adaptation Control Environmental System (ACES) database. Voice records from the audiotape recording of the communications between the controller and pilots, and interphone communications are digitized and replayed in synchrony with the events displayed on the screen. Figure 1 details the SATORI data processing flow. The analog switch display settings of the PVD are not recorded, however subroutines have been written for SATORI that allow the display to be set up with the settings reported to have been used by a given controller. In addition to the above, SATORI has the capability to display the high and low weather intensity that was displayed on a given PVD. All software routines written for SATORI use Open Systems Foundation (OSF) technology. Similar data to those available from En Route facilities are recorded at TRACON facilities and should allow for the development of a re-creation tool much like the one discussed in this report. Once SATORI is evaluated, it will be possible to accomplish the goals of evaluating system designs, over-the-shoulder appraisals, training outcomes, and measuring controller performance.


Author(s):  
Ruopeng Sun ◽  
Vignesh R. Paramathayalan ◽  
Rama Ratnam ◽  
Sanjiv Jain ◽  
Daniel G. Morrow ◽  
...  

Author(s):  
Sergey Vyacheslavovich Lebedev ◽  
Michail Panteleyev

Evolution of cyber-physical systems (CPS) and extension of their application areas complicate, among other things, their software design and development. This requires improvements in programming techniques used to build CPS. One of the important tasks arising in complex CPS is a situation assessment (SA) based on data received from diverse sources. In the chapter, an ontology-driven approach for CPS SA software design and development automation is proposed. The approach is based on the JDL data fusion model and flexible enough to be applied for any class of CPS applications. In contrast to known approaches, ontologies are used not only for domain knowledge representation but also for SA calculation process formalization. It provides a higher level of automation of SA software synthesis and, in the end, increases design and development efficiency.


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