The Construction and Application of Online Programming Learning System with Interactive Video Based on Semantic Web

2021 ◽  
Author(s):  
Dai kaiyu ◽  
Mao Haonan ◽  
Zhangrui
Keyword(s):  
Semantic Web ◽  
Interactive Video ◽  
Development Theory ◽  
Prototype System ◽  
Learning Needs ◽  
Proximal Development ◽  
Web Technologies ◽  
Knowledge Unit ◽  
Intelligent Technology ◽  
Deep Integration

The deep integration of the Internet, intelligent technology and education is profoundly changing the paradigm of learning. This paper uses modern web technologies to build a platform for online programming learning through interactive video, which allows learners to interact with the programming learning video when watching, and directly modify the code and run it, thus achieves active interactive learning. Meanwhile, the semantic web technology is used to define the semantics of the knowledge unit to construct a learning map, and combined with the evaluation of the learner’s learning status and the zone of proximal development theory, the function of the intelligent recommendation learning unit is designed. A prototype system is constructed based on a specific programming course. Through the feedback of learners, it is verified that this platform improves learners’ interest and initiative, and can well meet learners’ personalized learning needs.

Applying Semantic Web to E-Tourism

2011 ◽  
pp. 1027-1049
Author(s):  
Danica Damljanovic ◽  
Vladan Devedžic
Keyword(s):  
Semantic Web ◽  
Prototype System ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Core ◽  
Tourism Management ◽  
Sophisticated User ◽  
Machine Readable ◽  
The Web

Traditional E-Tourism applications store data internally in a form that is not interoperable with similar systems. Hence, tourist agents spend plenty of time updating data about vacation packages in order to provide good service to their clients. On the other hand, their clients spend plenty of time searching for the ‘perfect’ vacation package as the data about tourist offers are not integrated and are available from different spots on the Web. We developed Travel Guides - a prototype system for tourism management to illustrate how semantic web technologies combined with traditional E-Tourism applications: a.) help integration of tourism sources dispersed on the Web b) enable creating sophisticated user profiles. Maintaining quality user profiles enables system personalization and adaptivity of the content shown to the user. The core of this system is in ontologies – they enable machine readable and machine understandable representation of the data and more importantly reasoning.

Applying Semantic Web to E-Tourism

2010 ◽  
pp. 243-265 ◽  
Author(s):  
Danica Damljanovic ◽  
Vladan Devedžic
Keyword(s):  
Semantic Web ◽  
Prototype System ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Core ◽  
Tourism Management ◽  
Sophisticated User ◽  
Machine Readable ◽  
The Web

Traditional E-Tourism applications store data internally in a form that is not interoperable with similar systems. Hence, tourist agents spend plenty of time updating data about vacation packages in order to provide good service to their clients. On the other hand, their clients spend plenty of time searching for the ‘perfect’ vacation package as the data about tourist offers are not integrated and are available from different spots on the Web. We developed Travel Guides - a prototype system for tourism management to illustrate how semantic web technologies combined with traditional E-Tourism applications: a.) help integration of tourism sources dispersed on the Web b) enable creating sophisticated user profiles. Maintaining quality user profiles enables system personalization and adaptivity of the content shown to the user. The core of this system is in ontologies – they enable machine readable and machine understandable representation of the data and more importantly reasoning.

Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė
Keyword(s):  
Semantic Web ◽  
Learning Models ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
E Learning

Applying Semantic Web Technologies to Drug Safety Determination

2006 ◽  
Vol 21 (1) ◽  
pp. 82-86 ◽  
Author(s):  
S. Stephens ◽  
A. Morales ◽  
M. Quinlan
Keyword(s):  
Semantic Web ◽  
Drug Safety ◽  
Semantic Web Technologies ◽  
Web Technologies
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