Trust Levels Definition On Virtual Learning Platforms Through Semantic Languages
| Autor: | Jesús Manuel Soto Carrión, Paulo Alonso Gaona García, Carlos Enrique Montenegro Marín |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Statistics and Probability
Computer Networks and Communications Computer science FOAF trust-levels lcsh:Technology Profit (economics) World Wide Web Artificial Intelligence ontologies WS- Trust business.industry lcsh:T IJIMAI computer.file_format Computer Science Applications Web Service Security Trust level Open source Signal Processing Knowledge area Ontology’s Trust-Levels Virtual learning environment The Internet Computer Vision and Pattern Recognition business computer web services segurity |
| Zdroj: | International Journal of Interactive Multimedia and Artificial Intelligence, Vol 1, Iss 3, Pp 20-26 (2010) Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja instname |
| ISSN: | 1989-1660 |
| Popis: | Trust level concept is a topic that has opened a knowledge area about the profile evaluation and the people participation in Social Networks. These have presented a high knowledge profit, but at the same time it is necessary to analyze a group of variables to determine the trust participants' degree. In addition, this is a topic that from some years ago has been presenting a big expectation to settle some alternatives to generate confidence in an activer community on internet. To establish these parameters it is important to define a model to abstract some variables that are involved in this process. For this, it is relevant to take into account the semantic languages as one of the alternatives that allow these kinds of activities. The purpose of this article is to analyze the Trust Levels definition in the contents that are shared on Open Source Virtual learning Platforms through the use of a model of representation of semantic languages. The last ones allow determining the trust in the use of learning objects that are shared in this kind of platforms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|