The possibility of relying on a rich background knowledge constitutes a key element for the development of more effective sentiment analysis and SW applications. In this paper, we propose to encode the wide knowledge base collected by Open Mind Common Sense initiative into ConceptNet, in a semantic aware format to make it directly available for Semantic Web applications. We also discuss how the encoding of ConceptNet into RDF can be beneficial to promote its connection with other resources such as WordNet and HEO ontology to further extend its knowledge base. © 2011 Springer-Verlag.
CITATION STYLE
Grassi, M., & Piazza, F. (2011). Towards an RDF encoding of ConceptNet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6677 LNCS, pp. 558–565). https://doi.org/10.1007/978-3-642-21111-9_63
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