Multiple Ontologies Enhanced with Performance Capabilities to Define Interacting Domains within a Workflow Framework for Analysing Large Undersea Videos
Author(s) -
Nadarajan Gayathri,
Chenglin Yang,
Yun-Heh Chen-Burger
Publication year - 2013
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0004643304190426
Subject(s) - workflow , computer science , data science , software engineering , database
In this paper, we describe our efforts in using ontological engineering as a backbone technology to define multi-disciplinary knowledge that interact with one another in a complex domain. Multiple ontologies were developed to define these interacting domains. Combined with planning technology, they are used in a threelayered framework that enables the definition, creation and execution of a workflow management system based on dynamic user requirements. We report on how such ontologies play a central role in enabling the workflow system to work consistently and systematically while communicating and collaborating with other project partner systems. We also extend the capability elements of the ontologies with hardware and software performance measures. These metrics are valuable factors in improving the overall system’s performance.
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