Towards a Course of Action Probability Ontology for Logistic Supply Destruction Operation
| Autor: | Shanliang Yang, Kedi Huang, Zhongchen Fan, Xinye Zhao |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
business.industry
Probabilistic ontology Probabilistic logic Bayesian network ComputerApplications_COMPUTERSINOTHERSYSTEMS Ontology (information science) Machine learning computer.software_genre Course of action Action (philosophy) Upper ontology Artificial intelligence business computer Mathematics |
| Zdroj: | AsiaSim 2012 ISBN: 9783642343865 AsiaSim (3) |
| Popis: | Military planning has been an increasingly complex activity that involves identifying the enemy and friendly multiple operation strategies to find effective COA determination to achieve desired effects. To address this issue, our work relies on probabilistic ontology which extends ontology to capture uncertainty in a principled and standardized way. Probabilistic OWL (PR-OWL) is an OWL upper ontology for representing probabilistic ontology. The design of the COA-Ontology strives to support course of action (COA) planning on the upper level of PR-OWL ontology classes. While the user-defined domain-specific classes that convey the equivalent of what a standard ontology is constructed beyond the COA ontology. This paper has proposed the preliminary design of a case of the logistic supply destruction operation (LSDO) for using probabilistic ontology to find effective courses of action. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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