Integration of Computational and Crowd-Sourcing Methods for Ontology Extraction

Ontological approach is one of those promising solutions to improve search precision, resource navigation and retrieval by providing shared vocabularies and semantic relations for translating and integrating the different sources. But the progress has slowed down due to the knowledge acquisition bottleneck. In this paper, we present an integrated conceptual framework for extracting ontological structures from folksonomies that exploits the combined power of traditional computation and pooled, human knowledge through crowd-sourcing.