Title
Informal learning through expertise mining in the social web
Abstract
The advent of Web 2.0, also called the Social Web, has changed the way people interact with the Web. Assisted by the technologies associated with this new trend, users now play a much more active role as content providers. This Web paradigm shift has also changed how companies operate and interact with their employees, partners and customers. The challenge for companies and research institutions is now to develop semi-automated tools for gathering usable and explicit knowledge from such content. With the aim of facilitating the achievement of such a challenge, in this work a platform architecture for informal learning, which is based on semantic technologies, is proposed. Such platform permits to perform expertise mining from Social Web-generated content. Given a topic of interest, the system carries out semantically enhanced operations on blog and microblog posts to identify experts in that specific topic area. The comprehensive evaluation of the tool has demonstrated very promising results and is also presented in this article.
Year
DOI
Venue
2012
10.1080/0144929X.2011.638397
Behaviour & IT
Keywords
Field
DocType
specific topic area,people interact,content provider,social web,comprehensive evaluation,active role,web paradigm shift,expertise mining,informal learning,social web-generated content,platform architecture,data processing,informal education,data collection,knowledge management,automation,internet,information processing,programming languages,paradigm shift,semantics,social semantic web,social networks,semantic technologies,usability,ontologies,electronic publishing,programming,explicit knowledge,semantic web
Web development,Informal learning,Semantic technology,World Wide Web,Social web,Computer science,Knowledge management,Web modeling,Social Semantic Web,Informal education,The Internet
Journal
Volume
Issue
ISSN
31
8
0144-929X
Citations 
PageRank 
References 
5
0.45
31
Authors
5