Trust Management in Opportunistic Networks: A Semantic Web Approach

2009 ◽  
Author(s):  
Elvira Bonilla Tamez ◽  
Isaac Woungang ◽  
Leszek Lilien ◽  
Mieso K. Denko
Keyword(s):  
Semantic Web ◽  
Trust Management ◽  
Opportunistic Networks

scholarly journals Trust management in opportunisitic networks: a semantic web-based approach

2021 ◽  
Author(s):  
Elvira Noelly Bonilla Tamez
Keyword(s):  
Semantic Web ◽  
Trust Management ◽  
Opportunistic Networks ◽  
Use Case ◽  
New Paradigm ◽  
Case Scenario ◽  
Web Based ◽  
New Vision ◽  
The Web ◽  
Service Framework

The need for having a mechanism to automatically interpret content available on the Web without a human intervention has lead to the development of a new vision for the next generation of the Web, known as the Semantic Web. This new paradigm advocates the use of ontologies to achieve a common language for communication among humans, computers, and programs. In this thesis, a novel Semantic Web-based solution called SCOW-Q (Semantic Capability Discovery With QoS) model, is proposed, which provides an architectural basis for representing trust and trust management in Opportunistic Networks. The model is validated by means of a Use Case Scenario using a well-defined Semantic Web Service framework.

scholarly journals Trust management in opportunisitic networks: a semantic web-based approach

2021 ◽  
Author(s):  
Elvira Noelly Bonilla Tamez
Keyword(s):  
Semantic Web ◽  
Trust Management ◽  
Opportunistic Networks ◽  
Use Case ◽  
New Paradigm ◽  
Case Scenario ◽  
Web Based ◽  
New Vision ◽  
The Web ◽  
Service Framework

The need for having a mechanism to automatically interpret content available on the Web without a human intervention has lead to the development of a new vision for the next generation of the Web, known as the Semantic Web. This new paradigm advocates the use of ontologies to achieve a common language for communication among humans, computers, and programs. In this thesis, a novel Semantic Web-based solution called SCOW-Q (Semantic Capability Discovery With QoS) model, is proposed, which provides an architectural basis for representing trust and trust management in Opportunistic Networks. The model is validated by means of a Use Case Scenario using a well-defined Semantic Web Service framework.

Customer Relationship Management as an Imperative for Academic Libraries

2015 ◽  
pp. 44-77
Author(s):  
Amanda Xu ◽  
Sharon Q. Yang
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Academic Libraries ◽  
Linked Data ◽  
Trust Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Customer Group

This chapter proposes a conceptual model, the 121 e-Agent Framework, for Customer Relationship Management (CRM) in academic libraries. Linked data and Semantic Web are the core components of this model. The implementation of the Framework will enable the participating U.S. academic libraries to reach out to their user communities through systematic customer group identification, differentiation, and interaction. The main contributions of the chapter are 1) applying Semantic Web technologies for CRM in academic libraries using the 121 e-Agent Framework, 2) defining the relevance challenges of CRM for academic libraries, 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, and 4) making the approach extensible to address the challenges of CRM in other fields.

scholarly journals Trust Management for the Semantic Web

2003 ◽  
pp. 351-368 ◽  
Author(s):  
Matthew Richardson ◽  
Rakesh Agrawal ◽  
Pedro Domingos
Keyword(s):  
Semantic Web ◽  
Trust Management

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.

Customer Relationship Management as an Imperative for Academic Libraries

2016 ◽  
pp. 1641-1674
Author(s):  
Amanda Xu ◽  
Sharon Q. Yang
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Academic Libraries ◽  
Linked Data ◽  
Trust Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Customer Group

This chapter proposes a conceptual model, the 121 e-Agent Framework, for Customer Relationship Management (CRM) in academic libraries. Linked data and Semantic Web are the core components of this model. The implementation of the Framework will enable the participating U.S. academic libraries to reach out to their user communities through systematic customer group identification, differentiation, and interaction. The main contributions of the chapter are 1) applying Semantic Web technologies for CRM in academic libraries using the 121 e-Agent Framework, 2) defining the relevance challenges of CRM for academic libraries, 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, and 4) making the approach extensible to address the challenges of CRM in other fields.

Customer Relationship Management as an Imperative for Academic Libraries

2016 ◽  
pp. 395-428
Author(s):  
Amanda Xu ◽  
Sharon Q. Yang
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Academic Libraries ◽  
Linked Data ◽  
Trust Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Customer Data ◽  
Customer Group

This chapter proposes a conceptual model, the 121 e-Agent Framework, for Customer Relationship Management (CRM) in academic libraries. Linked data and Semantic Web are the core components of this model. The implementation of the Framework will enable the participating U.S. academic libraries to reach out to their user communities through systematic customer group identification, differentiation, and interaction. The main contributions of the chapter are 1) applying Semantic Web technologies for CRM in academic libraries using the 121 e-Agent Framework, 2) defining the relevance challenges of CRM for academic libraries, 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, and 4) making the approach extensible to address the challenges of CRM in other fields.

Trust Management in Opportunistic Networks

2010 ◽  
Author(s):  
Müller Roberto Pereira Gonçalves ◽  
Edson dos Santos Moreira ◽  
Luciana Andréia Fondazzi Martimiano
Keyword(s):  
Trust Management ◽  
Opportunistic Networks
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