An information architecture supported by ontologies to provide reporting of incidents related to public safety
Javan de Oliveira Cruz
Paulo César Prandel
Márcio de Carvalho Victorino
Edison Ishikawa
27th International Command and Control Research and Technology Symposium
October 25, 2022
SUMMARY
INTRODUCTION
INTRODUCTION
- Provide an Information Architecture focused on data collection, assisted by ontologies, as well as to provide availability of information, based on the observation of occurrences in the field.
- An assisted model to enable the recording of events data by field observers;
- Provision of structured reports to support the analysis of the information obtained.
INTRODUCTION
RELATED WORKS
1
Title
An Ontology-based Adaptive Reporting Tool
Authors
Mårtenson, Horndahl e Kabir (2011)
Objective
Conceptual description of a structured reporting tool based on an adaptive ontology-driven user interface.
2
3
Title
Toward a document-centered ontological theory for information architecture in corporations
Authors
Almeida, Felipe e Barcelos (2020)
Objective
A document-centered theory for the construction of Information Architecture.
Title
Architecture for Publication of Governmental Connected Open Data at the University of Brasília
Authors
Victorino et al. (2020)
Objective
Information Architecture, based on information and knowledge organization systems.
Ontologies with general coverage of concepts needed
for a wide range of tasks
�Optimal coverage was not obtained for the specific domain of the work
Ontology under development for use in Brazilian Army (OntoEB)
�
METHODOLOGY
METHODOLOGY
- Python
- Flask Framework – web applications
- RDFLib – data processing and indexing using ontologies
METHODOLOGY
METHODOLOGY
SELECT DISTINCT ?class ?label ?comment ?result
WHERE {�?class a owl:Class.�{?class rdfs:label ?label. �FILTER(� regex(?label,�"""�+ "\"" + keyword + "\""�+�""" �, "i")�)}�UNION�{?class rdfs:comment ?comment. �FILTER(� regex(?comment,�"""�+ "\"" + keyword + "\""�+�""" �, "i")�)} �?class rdfs:label ?result�}
SPARQL query – initial class
SPARQL queries
METHODOLOGY
Event registration
RESULTS
RESULTS
Responsiveness
RESULTS
CONCLUSION AND FUTURE WORK
- System Usability Scale (SUS) – method focused on effectiveness, efficiency and user satisfaction
- Comparison between the proposed Information Architecture and the Pacificador System
- Applying metrics such as Accuracy and Coverage
- Metrics allow you to assess the system's ability to retrieve relevant information across records
- Need to prepare a common database for the systems
THANK YOU!