Semantic Analysis over Lessons Learned Contained in Social Networks for Generating Organizational Memory in Centers R&d

This paper shows the construction of an organizational memory metamodel focused on R&D centers. The metamodel uses lessons learned extracted from corporative social networks; the metamodel aims to promote learning and management of organizational knowledge at these types of organizations. The analysis is applied initially from lessons learned on topics of R&D in Spanish language. The metamodel use natural languages processing together with ontologies for analyze the semantic and lexical the each lesson learned. The final result involves a knowledge base integrated by RDF files interrogated by SPARQL queries.