Paper Info
Title
Towards an Agent-Based Approach for Automatic Generation of Researcher Profiles Using Multiple Data Sources
Abstract
In this paper, we study the problem concerning the automatic generation of user profiles as a function of multiple data sources. Hence, we introduce an agent-based approach for collecting and integrating data from multiple sources, such as Linked In, Google Scholar and Lattes, in order to automatically generate researcher profiles. We performed a simple evaluation involving seven users who have data in all the used sources. Preliminary, the results show the feasibility of our approach.
Year
DOI
Venue
2013
10.1109/WI-IAT.2013.174
Web Intelligence/IAT Workshops
Keywords
Field
DocType
automatic generation,agent-based approach,user profile,multiple data sources,multiple source,used source,simple evaluation,researcher profile,google scholar,multiple data source,information retrieval,data integration,multi agent systems,intelligent agents,information extraction,ontologies
Data integration,Ontology (information science),Data mining,Intelligent agent,Multiple data,Information retrieval,Computer science,Multi-agent system,Information extraction
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Olavo Holanda1363.74
Endhe Elias292.37
Evandro Costa312117.91
Baldoino Fonseca410316.57
Ig I. Bittencourt528037.24