An Intellectual System for Processing and Integrating Knowledge Based on Semantic Web Technologies

2018 ◽  
Vol 16 (3) ◽  
pp. 113-125
Author(s):  
I. A. Korsun ◽  
◽  
D. E. Palchunov ◽  
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Based ◽  
Intellectual System

Applying Semantic Web in Competence Management

2011 ◽  
pp. 1084-1104
Author(s):  
Mikko Maukkanen ◽  
Heikki Helin
Keyword(s):  
Semantic Web ◽  
Dynamic Environments ◽  
Management Systems ◽  
Flexible Systems ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Based ◽  
Building Systems ◽  
Competence Management ◽  
Employee Competencies

Efficient competence management is essential in knowledge-based companies. This chapter describes how the Semantic Web technologies can be used in managing employee competencies. Applying the Semantic Web technologies in the competence management enables building systems that support highly dynamic environments, are extensible as well as interoperable between different application domains, and benefit from the use of machine-accessible semantics. Competence management systems should be available not only for managers, but for all the employees of the company. As companies get larger, it becomes increasingly difficult to manage the knowledge and competencies that their employees have. Utilizing the Semantic Web opens many possibilities for building flexible systems for competence management.

Applying Semantic Web in Competence Management

2007 ◽  
pp. 333-257
Author(s):  
Mikko Maukkanen ◽  
Heikki Helin
Keyword(s):  
Semantic Web ◽  
Dynamic Environments ◽  
Management Systems ◽  
Flexible Systems ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Based ◽  
Building Systems ◽  
Competence Management ◽  
Employee Competencies

Efficient competence management is essential in knowledge-based companies. This chapter describes how the Semantic Web technologies can be used in managing employee competencies. Applying the Semantic Web technologies in the competence management enables building systems that support highly dynamic environments, are extensible as well as interoperable between different application domains, and benefit from the use of machine-accessible semantics. Competence management systems should be available not only for managers, but for all the employees of the company. As companies get larger, it becomes increasingly difficult to manage the knowledge and competencies that their employees have. Utilizing the Semantic Web opens many possibilities for building flexible systems for competence management.

SPARSE: A symptom-based antipattern retrieval knowledge-based system using Semantic Web technologies

2011 ◽  
Vol 38 (6) ◽  
pp. 7633-7646 ◽  
Author(s):  
Dimitrios L. Settas ◽  
Georgios Meditskos ◽  
Ioannis G. Stamelos ◽  
Nick Bassiliades
Keyword(s):  
Semantic Web ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Based System ◽  
Knowledge Based

Personalization Based on Semantic Web Technologies

2009 ◽  
pp. 52-75 ◽  
Author(s):  
Vassileios Tsetsos
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
User Preferences ◽  
Main Topic ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Distributed Knowledge ◽  
Web Based ◽  
Web Technologies ◽  
Knowledge Based

Personalization techniques provide optimized access to content and services, based on the preferences and the characteristics of each individual user. Nowadays many applications, either Web-based or not, call for personalized behavior. Obviously, such behavior leads to an increased demand for knowledge management, since personalization is based on user profiles, user preferences, usage policies, and other knowledge components. The main topic of this chapter is the investigation of how well Semantic Web technologies apply to personalized applications. Semantic Web is a relatively new platform for developing (distributed) knowledge-based applications that has gained great popularity in previous years. Hence, this chapter surveys the most prominent techniques for personalization in the context of the Semantic Web. It discusses and compares different approaches to architectural and engineering techniques and other issues relevant to this hot topic. The chapter provides foundational knowledge on this topic, as well as discussion on some key implementation issues.

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