With the growth rate of information volume, information access and knowledge management in enterprises has become challenging. This paper aims at describing the importance of semantic technologies (ontologies) and knowledge extraction techniques for knowledge management, search and capture in e-business processes. We will present the state of the art of ontology learning approaches from textual data and web environment and their integration in enterprise systems to perform personalized and incremental knowledge harvesting. © 2013 Springer-Verlag.
CITATION STYLE
Ben Mustapha, N., & Aufaure, M. A. (2013). Knowledge harvesting for business intelligence. In Lecture Notes in Business Information Processing (Vol. 138 LNBIP, pp. 177–207). Springer Verlag. https://doi.org/10.1007/978-3-642-36318-4_8
Mendeley helps you to discover research relevant for your work.