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Ontology Modeling and Rule-based Reasoning for Automatic Classification of Personal Media
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  • Journal title : Journal of KIISE
  • Volume 43, Issue 3,  2016, pp.370-379
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2016.43.3.370
 Title & Authors
Ontology Modeling and Rule-based Reasoning for Automatic Classification of Personal Media
Park, Hyun-Kyu; So, Chi-Seung; Park, Young-Tack;
 
 Abstract
Recently personal media were produced in a variety of ways as a lot of smart devices have been spread and services using these data have been desired. Therefore, research has been actively conducted for the media analysis and recognition technology and we can recognize the meaningful object from the media. The system using the media ontology has the disadvantage that can't classify the media appearing in the video because of the use of a video title, tags, and script information. In this paper, we propose a system to automatically classify video using the objects shown in the media data. To do this, we use a description logic-based reasoning and a rule-based inference for event processing which may vary in order. Description logic-based reasoning system proposed in this paper represents the relation of the objects in the media as activity ontology. We describe how to another rule-based reasoning system defines an event according to the order of the inference activity and order based reasoning system automatically classify the appropriate event to the category. To evaluate the efficiency of the proposed approach, we conducted an experiment using the media data classified as a valid category by the analysis of the Youtube video.
 Keywords
ontology modeling;description logic;sequence based rule;automated classification;
 Language
Korean
 Cited by
 References
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