Authors:
Gilberto Astolfi
;
Vanessa M. A. de Magalhães
;
Marcos A. R. Silva
and
Junia C. Anacleto
Affiliation:
Federal University of São Carlos, Brazil
Keyword(s):
Culture, Enterprise environment, Social networking service, Collaborative work.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Cloud Computing
;
Data Engineering
;
Databases and Information Systems Integration
;
e-Business
;
Education/Learning
;
e-Learning
;
Enterprise Information Systems
;
Health Information Systems
;
Human-Computer Interaction
;
Informatics in Control, Automation and Robotics
;
Information Systems Analysis and Specification
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Ontologies and the Semantic Web
;
Semantic Web Technologies
;
Services Science
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
;
Web Databases
;
Web Information Systems and Technologies
Abstract:
This paper describes a methodology to identify people with common subjects but different cultures. Each person has a culture and it influences in his way to express himself or to write, etc. Because of that, nowadays, on the Web, it is very difficult a person who writes ’validating enterprise system’ finds another who writes ’attesting B2B solution’ because there are different words. On the other hand, there is a common subject that search engines can not identify, because it is necessary taking into consideration the cultural knowledge and experience from each person. In this context, the methodology presented here intends to consider this cultural information in order to identify when two or more people are talking about the same subject.