ObserveUnB - A scientific social network Web portal
Abstract
This paper presents the ObserveUnB, a social network on the Web, developed with the scientific information of the University of Brasília (UnB) academic community. The essence of ObserveUnB is based in the construction and analysis of the relationships between the researchers of the network, which was build with the aid of a reputation model and an ontology. This is the first Web portal for scientific social network developed in the scope of a Federal Institution of Higher Education in Brazil. The ObserveUnB’s big challenge is the availability of scientific knowledge, allowing universal and participatory access to Brazilian citizens, as well as to manage the integration of a large volume of data from different repositories.
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Conscientias (2002). “Padronização XML: Grupos de Pesquisa”, Disponível em: [link]. Acesso Abr. 2012.
Conscientias (2006). “Padronização XML: Curriculum Lattes”, Disponível em: [link]. Acesso Abr. 2012.
Corcho, O.; Fernández-López, M. & Gómez-Pérez, A. (2003). “Methodologies, Tools and Languages for Building Ontologies: Where is Their Meeting Point?”, Data & Knowledge Engineering, 46:1, 41-64.
Ding, Y.et al. (2009). “PageRank for Ranking Authors in Co-citation Networks”, Journal of the American Society for Inf. Science and Technology, 60:11, 2229-2243.
Gollapalli, S. D.; Mitra, P. & Giles, C. L. (2011).“Ranking authors in digital libraries”, In Proc. 11 th Int. ACM/IEEE Joint Conf. on Digital Libraries, 251-254, NY, USA.
Hakimpour, F. & Geppertb, A. (2001). “Resolving semantic heterogeneity in schema integration”, In Proc. Int. Conf. on Formal Ontology in Inf. Systems, 297–308, USA.
Haveliwala, T. H. (2003). “Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search”, Tech. Report, IEEE Transactions on Knowledge and Data Engineering, Stanford InfoLab.
Hogan, A.; Harth, A. & Decker, S. (2006). “Reconrank: A scalable ranking method for semantic web data with context”. In Proc 2 nd Workshop on Scalable Semantic Web Knowledge Base Systems.
Horridge, M.et al. (2011). “A Practical Guide to Building OWL Ontologies Using The Protégé 4 and CO-ODE Tools”, Edition 1.3, The University of Manchester, UK.
Laender, A. et al.(2011).“CiênciaBrasil-The Brazilian Portal of Science and Technology”, In 38 SEMISH, RN, Brasil.
Matsuo, Y. et al. (2004). ”Finding Social Network for Trust Calculation”, In Proc. 16 th European Conference on Artificial Intelligence, 510 514.
McGuinness, D. L. & van Harmelen, F. (2004). “Owl web ontology language overview” Disponível em: [link]. Acesso em Marc. 2012.
Morris, A.; Velegrakis Y. & Bouquet P. (2008). “Entity Identification on the Semantic Web”, In Proc. 5 th Workshop on Semantic Web Applications and Perspectives, Italy.
Noy, N. F. & Mcguinness, D. L. (2001). “Ontology Development 101: A Guide to Creating your First Ontology”, Tech. Report, Stanford University, Stanford, USA.
Page, L.et al. (1999). “The PageRank CitationRanking: Bringing Order to the Web”, Technical Report 1999-66, Stanford InfoLab, USA.
Protégé (2011). “Ontology Editor and Knowledge Acquisition System”, v. 4.1 beta, Disponível em: [link]. Acesso em Dez. 2011.
Resnick, P. et al. (2000). “Reputation Systems”, Commun. ACM, 43, 12, 45-48.
Singh, A. P.; Shubhankar, K. & Pudi, V. (2011). “An Efficient Algorithm for Ranking Research Papers Based on Citation Network”, In Proc. 3 rd Conf. on Data Mining and Optimization (DMO), 88-95, Putrajaya, Malaysia.
Tang, J.et al. (2008). “Arnetminer: Extraction and Mining of Academic Social Networks”, In Proc. 14 th ACM Int. Conf. on Knowledge Discovery and Data Mining, 990-998, New York, USA.
Published
2012-07-16
How to Cite
RALHA, Célia G. et al.
ObserveUnB - A scientific social network Web portal. In: INTEGRATED SOFTWARE AND HARDWARE SEMINAR (SEMISH), 39. , 2012, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 143-154.
ISSN 2595-6205.
