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IADIS International Conference WWW/Internet 2010presented the use of the meta-relation in analogy search because we consider that using only Minsky’srelation does not bring expressive results.Searching analogies using meta-relation showed good results because when there is the same metarelationin two or more concepts, they are more analogous than Minsky’s relation because meta-relationexpress action and characteristic which according Gentner both attribute more semantic to relations.Nowadays, our prototype does analogy search using Minsky’s relation and meta-relation. Because of that,the score is the sum of the both results. On the other hand, in our second experiment there was not this sum,because there were not common concepts between Minsky’s relation and meta-relation results as shown inTable 6. Nevertheless, this sum is possible and it helps to attribute more semantic to results.A weak point of the meta-relations presented in this work lies in its creation. The meta-relations arecreated by matches between Minsky’s relations, so the meta-relation does not cover all types of concepts,only those who are able to do some kind of action, expressed by the relation CapableOf. For future work, weintend to investigate even more Minsky’s relations to create new matches to generate meta-relations.Finally, the commonsense semantic network of OMCS-Br combined with the Minsky’s relation andmeta-relation allow a better search for analogies which any educational computational application can use.For example, there is a computational application called Cognitor (Buzatto et al, 2009) which any educatorcan create on-line learning material taking into consideration students’ commonsense knowledge. This toolcan provide a list of analogous concepts, considering as parameter concept inputted by the teacher. Throughthis material, students can easily understand the subject of the material because it is explained considering theknowledge that already learned.It is important to mention that through the API any computer application which has access to the internetcan use analogies to build educational materials or any learning content.ACKNOWLEDGEMENTWe thank FAPESP, CNPq and CAPES for partial financial support to this research. We also thank all thecollaborators of the Brazilian Open Mind Common Sense Project who have been building the common senseknowledge base considered in this research.REFERENCESAnacleto, J. C.; Carvalho, A. F. P. De, 2008. Improving Human-Computer Interaction by Developing Culture-sensitiveApplications based on Common Sense Knowledge. Advances in Human-Computer Interaction. Vienna: I-Tech.Ausubel, D.P., 1968. Educational Psychology: A Cognitive View. Holt, Rinehart and Winston, New York.Freinet, C., 1993. Education Through Work: A Model for Child Centered Learning. Edwin Mellen Press, New York.Buzatto, D.; Anacleto, J. C.; Dias, A. L., 2009: Providing Culturally Contextualized Metadata to Promote Sharing andReuse of Learning Objects. In: ACM International Conference on Design of Communication (SIGDOC 2009).Bloomington, Indiana. p. 163-170.Freire, P., 1996. Pedagogia da Autonomia: Saberes Necessários à Prática Educativa, 31 ed. Paz e Terra, São Paulo.Gentner, D., 1983. Structure-mapping: A theoretical framework for analogy. In: Cognitive Science 7(2), (1983): 155-170.Godoi, M. S., 2007. Uso de conhecimento de senso comum na educação para a geração de similaridades e analogias.Master's degree dissertation, UFSCar.Silva, M. A. R. ; Anacleto, J. C., 2009. Promoting Collaboration through a Culturally Contextualized Narrative Game. In:Filipe, J.; Cordeiro, J.. (Org.). Enterprise Information Systems - ICEIS 2009. 1 ed. Berlin: Springer-Verlag, v. 1, p.870-881.Liu, H. and Singh, P. 2004. ConceptNet - A Practical Commonsense Reasoning Tool-Kit. BT Technology Journal 22, 4(Oct. 2004), 211-226.Minsky, M., 1987. The society of mind, Simon & Schuster.Singh, P., 2002. The public acquisition of commonsense knowledge. In: AAAI Spring symposium on acquiring (andusing) linguistic (and world) knowledge for information access. Palo Alto, CASingh, P.; Barry, B.; Liu, H., 2004. “Teaching machines about everyday life”. BT Technology Journal, v. 22, n. 4. pp.227-240.41