EXPLOITATION OF ONTOLOGY-BASED RECOMMENDATION SYSTEM WITH MULTI-AGENT SIMULATIONS

被引：0
|
作者：
Husakova, Martina [1 ]
Cech, Pavel [2 ]
机构：
[1] Univ Hradec Kralove, Fac Informat & Management, Hradec Kralove, Czech Republic
[2] Univ Def, Fac Mil Hlth Sci, Brno, Czech Republic
来源：
KEOD 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND ONTOLOGY DEVELOPMENT | 2011年
关键词：
Ontology; OWL; UML; SWRL; Multi-agent simulation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper investigates the usage of ontology engineering-based techniques for recommendation system development. The potential of ontology containing SWRL rules is studied with relation to the generation of scenarios (recommendations). These scenarios are the basis for the creation of multi-agent models and simulations. The multi-agent systems offer dynamic view on implications of recommendations that are suggested by the ontology-based recommendation system.
引用
收藏
页码：433 / 436
页数：4
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