Paper Info
Title
Ontology-Based Data Integration for Event Recognition in the Maritime Domain
Abstract
Recent environmental disasters at sea have highlighted the need for efficient maritime surveillance and incident management. Currently, maritime navigation technology automatically provides real time data from vessels, which together with historical data, can be processed in an integrated way to detect complex events and support decision making. Ontology-Based Data Access (OBDA) frameworks, can be employed to access data towards this effort. However the heterogeneity of data in disparate sources make data integration a challenging task. In this paper we report on our efforts to implement a scalable system for integrating data from disparate data sources by means of existing OBDA frameworks and distributed E -- SHIQ knowledge bases, towards supporting complex event recognition. We present two versions of the implemented system, and the lessons learned from this effort.
Year
DOI
Venue
2015
10.1145/2797115.2797133
WIMS
Field
DocType
Citations 
Incident management (ITSM),Data integration,Data science,Data mining,Ontology-based data integration,Ontology,Real-time data,Computer science,Disparate system,Data access,Event recognition
Conference
1
PageRank 
References 
Authors
0.35
20
3
Name
Order
Citations
PageRank
Georgios M. Santipantakis1159.18
Konstantinos Kotis232727.49
George A. Vouros381987.44