A Knowledge Model of Digital Evidence Review Elements Based on Ontology

2017 ◽  
Vol 9 (3) ◽  
pp. 49-57 ◽  
Author(s):  
Ning Wang
Keyword(s):  
Knowledge Base ◽  
Domain Ontology ◽  
Digital Evidence ◽  
Knowledge Model ◽  
Ontology Construction ◽  
Model Based ◽  
Application Ontology ◽  
Evidence Review ◽  
Ontology Application ◽  
Knowledge Classification

As existing methods cannot express, share, and reuse the digital evidence review information in a unified manner, a solution of digital evidence review elements knowledge base model based on ontology is presented. Firstly, combing with the multi-source heterogeneous characteristic of digital evidence review knowledge, classification and extraction are accomplished. Secondly, according to the principles of ontology construction, the digital evidence review elements knowledge base model which includes domain ontology, application ontology, and atomic ontology is established. Finally, model can effectively acquire digital evidence review knowledge by analyzing review scenario.

A Knowledge Model of Digital Evidence Review Elements Based on Ontology

2020 ◽  
pp. 281-290
Author(s):  
Ning Wang
Keyword(s):  
Knowledge Base ◽  
Domain Ontology ◽  
Digital Evidence ◽  
Knowledge Model ◽  
Ontology Construction ◽  
Model Based ◽  
Application Ontology ◽  
Evidence Review ◽  
Ontology Application ◽  
Knowledge Classification

As existing methods cannot express, share, and reuse the digital evidence review information in a unified manner, a solution of digital evidence review elements knowledge base model based on ontology is presented. Firstly, combing with the multi-source heterogeneous characteristic of digital evidence review knowledge, classification and extraction are accomplished. Secondly, according to the principles of ontology construction, the digital evidence review elements knowledge base model which includes domain ontology, application ontology, and atomic ontology is established. Finally, model can effectively acquire digital evidence review knowledge by analyzing review scenario.

Ontology Construction Research for the Mobile Phones' Reviews on the Internet

2014 ◽  
Vol 602-605 ◽  
pp. 3363-3366
Author(s):  
Yi Ming Sun ◽  
Chun Lei Han
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Semantic Information ◽  
Domain Ontology ◽  
University Research ◽  
New Method ◽  
The Internet ◽  
Stanford University ◽  
Information Mining ◽  
Ontology Construction

In order to automatically identify the mobile phones' reviews that the users comment on the mobile phone on the internet and obtain valuable information from the reviews, this paper presents the process of constructing ontology for the mobile phones' reviews and preliminarily establish a domain ontology of the mobile phones' reviews. The ontology construction adopts the Protégé tool and the Seven Steps method of Stanford University research. The ontology can provide convenience for the semantic information mining on Web mobile phones' reviews, and it can provide a new method to effectively mine the use feelings of the phone from a large number of mobile phone users' reviews.

Research on Management System of Automatic Driver Decision-Making Knowledge Base for Unmanned Vehicle

2019 ◽  
Vol 33 (04) ◽  
pp. 1959013 ◽  
Author(s):  
Zhaoxia Zhang ◽  
Qing Jiang ◽  
Rujing Wang ◽  
Liangtu Song ◽  
Zhengyong Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Management System ◽  
Autonomous Driving ◽  
Unmanned Vehicles ◽  
Knowledge Model ◽  
Unmanned Vehicle ◽  
Base Management System ◽  
Decision Making System ◽  
Base Management

The acquisition, presentation and management of autonomous driving decision-making knowledge of unmanned vehicles are the key and difficult issues in the autonomous driving decision-making system of unmanned vehicles. This paper presents a knowledge model, which includes problem description layer and problem-solving knowledge layer. The automatic driving decision knowledge base of unmanned vehicle is composed of a set of knowledge models. Knowledge model supports knowledge representation and reasoning. Based on the WEB visualization knowledge modeling tool and visualization knowledge service tool, we construct the decision-making knowledge base management system for autonomous driving of unmanned vehicles and then construct the autonomous driving decision-making system of unmanned vehicles. The reasoning example shows that the knowledge base management system can effectively improve the knowledge acquisition, representation and maintenance efficiency of autonomous driving decision-making system, which is of great significance in enhancing the intelligence level of autonomous driving decision-making system.

A Semantic Retrieval Model Based on Domain Ontology of Orchard Disease and Pests

2016 ◽  
Vol 25 (3) ◽  
pp. 460-466 ◽  
Author(s):  
Jiajia Hou ◽  
Hui Han ◽  
Chengjing Qiu ◽  
Dongmei Li
Keyword(s):  
Domain Ontology ◽  
Semantic Retrieval ◽  
Retrieval Model ◽  
Model Based
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