An enhanced personal learning environment using social semantic web technologies

2013 ◽  
Vol 22 (2) ◽  
pp. 165-187 ◽  
Author(s):  
Khaled Halimi ◽  
Hassina Seridi-Bouchelaghem ◽  
Catherine Faron-Zucker
Keyword(s):  
Learning Environment ◽  
Semantic Web ◽  
Semantic Web Technologies ◽  
Personal Learning ◽  
Web Technologies ◽  
Personal Learning Environment ◽  
Social Semantic Web

Applying Semantic Web Technologies to Meet the Relevant Challenge of Customer Relationship Management for the U.S. Academic Libraries in the 21st Century Using 121 e-Agent Framework

2011 ◽  
pp. 284-311
Author(s):  
Sharon Q. Yang ◽  
Amanda Xu
Keyword(s):  
Semantic Web ◽  
21St Century ◽  
Academic Libraries ◽  
Trust Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Web Technologies ◽  
Social Semantic Web ◽  
The Web

The main contributions of the chapter are 1) defining relevance challenge of CRM for U.S. academic libraries in the 21st century and applying social Semantic Web technologies to address the relevance challenge of CRM using 121 e-Agent framework in the Web as an infrastructure; 2) binding OLTP, OLAP, and Online Ontological Processing to social Semantic Web applications in CRM; 3) adding trust management to the linked data layer with a touch of tagging, categorizing, query log analysis, and social ranking as part of the underlying structure for distributed customer data filtering on the Web in CRM applications; 4) making the approach extensible to address relevance challenge of CRM in other fields.

Mailing Lists and Social Semantic Web

2011 ◽  
pp. 1090-1104
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Social Communities ◽  
Mailing Lists ◽  
Social Semantic Web ◽  
Open Source Communities

Electronic Mailing lists are a key part of the Internet. They have enabled the development of social communities who share and exchange knowledge in specialized and general domains. In this chapter the auhtors describe methods to capture some of that knowledge which will enable the development of new datasets using Semantic Web technologies. In particular, the authors present the SWAML project, which collects data from mailing lists. They also describe smushing techniques that normalize RDF datasets capturing different resources that identify the same one. They have applied those techniques to identify persons through the mailing lists of open source communities. These techniques have been tested using a dataset automatically extracted from several online open source communities.

Applying Semantic Web Technologies to Meet the Relevant Challenge of Customer Relationship Management for the U.S. Academic Libraries in the 21st Century Using 121 e-Agent Framework

2013 ◽  
pp. 737-764
Author(s):  
Sharon Q. Yang ◽  
Amanda Xu
Keyword(s):  
Semantic Web ◽  
21St Century ◽  
Academic Libraries ◽  
Trust Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Web Technologies ◽  
Social Semantic Web ◽  
The Web

The main contributions of the chapter are 1) defining relevance challenge of CRM for U.S. academic libraries in the 21st century and applying social Semantic Web technologies to address the relevance challenge of CRM using 121 e-Agent framework in the Web as an infrastructure; 2) binding OLTP, OLAP, and Online Ontological Processing to social Semantic Web applications in CRM; 3) adding trust management to the linked data layer with a touch of tagging, categorizing, query log analysis, and social ranking as part of the underlying structure for distributed customer data filtering on the Web in CRM applications; 4) making the approach extensible to address relevance challenge of CRM in other fields.

Mailing Lists and Social Semantic Web

2010 ◽  
pp. 335-349 ◽  
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Social Communities ◽  
Mailing Lists ◽  
Social Semantic Web ◽  
Open Source Communities

Electronic Mailing lists are a key part of the Internet. They have enabled the development of social communities who share and exchange knowledge in specialized and general domains. In this chapter the auhtors describe methods to capture some of that knowledge which will enable the development of new datasets using Semantic Web technologies. In particular, the authors present the SWAML project, which collects data from mailing lists. They also describe smushing techniques that normalize RDF datasets capturing different resources that identify the same one. They have applied those techniques to identify persons through the mailing lists of open source communities. These techniques have been tested using a dataset automatically extracted from several online open source communities.

Mailing Lists and Social Semantic Web

2010 ◽  
pp. 42-56 ◽  
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Social Communities ◽  
Mailing Lists ◽  
Social Semantic Web ◽  
Open Source Communities

Electronic Mailing lists are a key part of the Internet. They have enabled the development of social communities who share and exchange knowledge in specialized and general domains. In this chapter the authors describe methods to capture some of that knowledge which will enable the development of new datasets using Semantic Web technologies. In particular, the authors present the SWAML project, which collects data from mailing lists. The authors also describe smushing techniques that normalize RDF datasets capturing different resources that identify the same one. They have applied those techniques to identify persons through the mailing lists of open source communities. These techniques have been tested using a dataset automatically extracted from several online open source communities.

scholarly journals Integration of the tagging mechanism in the collaborative e-learning system

2012 ◽  
Vol 13 (1) ◽  
pp. 54-60
Author(s):  
Andrejs Lesovskis ◽  
Vladimirs Kotovs ◽  
Leonids Novickis
Keyword(s):  
Learning Environment ◽  
Semantic Web ◽  
Learning Systems ◽  
Learning System ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Combined Use ◽  
E Learning ◽  
Machine Readable

Abstract - The tagging mechanism is a technique that can be used to implement the personalized collaboration in the e-Learning systems, thereby increasing the efficiency of such a system. Semantic Web technologies can be used to enhance tags with machine-readable annotations to improve the accuracy of tag-based recommendation services. The novelty of the proposed approach is the combined use of the Semantic Web technologies and the reuse-oriented model in the development of the e-Learning environment.

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
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