Towards an Agent-based Approach for Automatic Generation of Researcher Profiles using Multiple Data Sources

摘要

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 LinkedIn, 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.