Abstract
According to the latest estimates of the World Bank, up to 2013 there were 2’184.419.897 scientific and technical articles published in the world. Year in and year out, a great number of these papers is produced by several education institutions, organizations and centers that carry out several research topics and processes. However, it is imperative for universities to determine guidelines and policies that efficiently enable them to manage the information that has been produced, as well as determine the impact all of these processes have on several areas, such as scientific, social and academic. Therefore, this article presents an ecosystem based on ontologies and smart tools that dynamically analyzes scientific production in a university. Our idea is capable of connecting to main scientific data bases such as SCOPUS or Science Direct and applies standards like the International Standard Classification of Education from UNESCO and the All Science Journal from SCOPUS. In order to validate our proposal, we carried out an experimental process that allowed us to supply the ontology with 1.912 individuals of papers, authors, journals and organizations. Similarly, from the 331 articles that have been processed, we have extracted information related to lines of research, keywords, scientific events and many other fields.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Delibašić, B., Suknović, M.: Loan granting knowledge system. J. Dec. Syst. 15(2–3), 309–329 (2006)
Dorasamy, M., Raman, M., Kaliannan, M.: Knowledge management systems in support of disasters management: a two decade review. Technol. Forecast. Soc. Chang. 80(9), 1834–1853 (2013)
Feng, K., Chen, E.T., Liou, W.: Implementation of knowledge management systems and firm performance: an empirical investigation. J. Comput. Inf. Syst. 45(2), 92–104 (2005)
Ghosh, B., Scott, J.E.: Effective knowledge management systems for a clinical nursing setting. Inf. Syst. Manag. 24(1), 73–84 (2006)
Hsu, L.L.: The impact of industrial characteristics and organizational climate on kms and bip-taiwan bioscience industry. J. Comput. Inf. Syst. 46(4), 8–17 (2006)
Kumar, A., Dwivedi, S.K.: Ontology based knowledge management for administrative processes of university. Int. J. Inf. Technol. Comput. Sci. (IJITCS) 7(8), 51 (2015)
Lezcano, L., Jörg, B., Sicilia, M.-A.: Modeling the context of scientific information: mapping VIVO and CERIF. In: Bajec, M., Eder, J. (eds.) CAiSE 2012. LNBIP, vol. 112, pp. 123–129. Springer, Heidelberg (2012). doi:10.1007/978-3-642-31069-0_11
Lohmann, S., Negru, S., Haag, F., Ertl, T.: Visualizing ontologies with VOWL. Semant. Web 7(4), 399–419 (2016)
Motawa, I., Almarshad, A.: A knowledge-based bim system for building maintenance. Autom. Construct. 29, 173–182 (2013)
Nonthakarn, C., Wuwongse, V.: Linked openscholar: a researcher network using linked open data. In: Chen, H.-H., Chowdhury, G. (eds.) ICADL 2012. LNCS, vol. 7634, pp. 325–328. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34752-8_41
Pérez, J., Arenas, M., Gutierrez, C.: Semantics and complexity of sparql. ACM Trans. Database Syst. (TODS) 34(3), 16 (2009)
SCImago: Sjr scimago journal & country rank (2017). http://www.scimagojr.com/countryrank.php
SCOPUS: Citescore metrics faqs (2016). https://journalmetrics.scopus.com
Séin-Echaluce, M.L., Fidalgo Blanco, Á., J. García-Peñalvo, F., Conde, M.Á.: A knowledge management system to classify social educational resources within a subject using teamwork techniques. In: Zaphiris, P., Ioannou, A. (eds.) LCT 2015. LNCS, vol. 9192, pp. 510–519. Springer, Cham (2015). doi:10.1007/978-3-319-20609-7_48
Song, S.: An internet knowledge sharing system. J. Comput. Inf. Syst. 42(3), 25–30 (2002)
Tsolakidis, A., Sgouropoulou, C., Papageorgiou, E., Terraz, O., Miaoulis, G.: Using visual representation for decision support in institutional research evaluation. In: Plemenos, D., Miaoulis, G. (eds.) Intelligent Computer Graphics 2012. SCI, vol. 441, pp. 41–57. Springer, Heidelberg (2013). doi:10.1007/978-3-642-31745-3_3
UNESCO: Clasificación internacional normalizada de la educación (2013)
World Bank: Scientific and technical journal articles (2017). http://data.worldbank.org/indicator/IP.JRN.ARTC.SC
Wróblewska, A., Podsiadly-Marczykowska, T., Bembenik, R., Rybinski, H., Protaziuk, G.: Synat system ontology: design patterns applied to modeling of scientific community, preliminary model evaluation. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds.) Intelligent Tools for Building a Scientific Information Platform. SCI, vol. 467, pp. 323–340. Springer, Heidelberg (2013). doi:10.1007/978-3-642-35647-6_21
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Salgado-Guerrero, J.P., Galán-Mena, J., Pulla-Sánchez, D., Robles-Bykbaev, V., Narváez-Pacheco, A. (2017). CREAMINKA: An Intelligent Ecosystem Based on Ontologies and Artificial Intelligence to Manage Research Processes, Knowledge Generation and Scientific Production in Higher Education. In: Solano, A., Ordoñez, H. (eds) Advances in Computing. CCC 2017. Communications in Computer and Information Science, vol 735. Springer, Cham. https://doi.org/10.1007/978-3-319-66562-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-66562-7_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66561-0
Online ISBN: 978-3-319-66562-7
eBook Packages: Computer ScienceComputer Science (R0)