Abstract
Innovation is one of the keys to success in the business world. More concretely, open innovation is gaining momentum so different tools for supporting the collaboration between experts and developers in this field are needed. On the other hand, ontologies and semantic technologies provide a consistent and reliable means to represent and aggregate knowledge from different sources. In this paper, an open innovation platform based on social networks and semantic web technologies to assist in managing innovative software projects is proposed. The platform takes advantage of semantic information that can be classified and annotated by means of domain ontologies. The behaviour of the system has been illustrated through a use case scenario in the software development domain.
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
Preview
Unable to display preview. Download preview PDF.
References
Chesbrough, H.W.: Open innovation: The new imperative for creating and profiting from technology. Harvard Business Press (2003)
Chesbrough, H.: Open innovation: a new paradigm for understanding industrial innovation. In: Open Innovation: Researching a New Paradigm, pp. 1–12. Oxford University Press, Oxford (2006)
Chesbrough, H., Crowther, A.K.: Beyond high tech: early adopters of open innovation in other industries. R&d Management 36(3), 229–236 (2006)
Enkel, E., Gassmann, O., Chesbrough, H.: Open r&d and open innovation: exploring the phenomenon. R&d Management 39(4), 311–316 (2009)
Studer, R., Benjamins, V.R., Fensel, D.: Knowledge engineering: principles and methods. Data & Knowledge Engineering 25(1), 161–197 (1998)
Blakeley, C.: Virtuoso rdf views-getting started guide. OpenLink Software (2007)
Rodríguez-García, M.Á., Valencia-García, R., García-Sánchez, F., Samper-Zapater, J.J.: Ontology-based annotation and retrieval of services in the cloud. Knowledge-Based Systems 56, 15–25 (2014)
Castells, P., Fernández, M., Vallet, D.: An adaptation of the vector-space model for ontology-based information retrieval. IEEE Trans. on Knowl. and Data Eng. 19(2), 261–272 (2007)
Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, Inc., New York (1986)
Carrer-Neto, W., Hernández-Alcaraz, M.L., Valencia-García, R., Sánchez, F.G.: Social knowledge-based recommender system. application to the movies domain. Expert Syst. Appl. 39(12), 10990–11000 (2012)
García-Sánchez, F., Valencia-García, R., Martínez-Béjar, R., Fernández-Breis, J.T.: An ontology, intelligent agent-based framework for the provision of semantic web services. Expert Syst. Appl. 36(2), 3167–3187 (2009)
Lin, F., Butters, J., Sandkuhl, K., Ciravegna, F.: Context-based ontology matching: Concept and application cases. In: 2010 IEEE 10th International Conference on Computer and Information Technology (CIT), pp. 1292–1298. IEEE (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rodríguez-García, M.Á., Valencia-García, R., Alcaraz-Mármol, G., Carralero, C. (2014). A Knowledge-Based Platform for Managing Innovative Software Projects. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. OTM 2014. Lecture Notes in Computer Science, vol 8842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45550-0_31
Download citation
DOI: https://doi.org/10.1007/978-3-662-45550-0_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45549-4
Online ISBN: 978-3-662-45550-0
eBook Packages: Computer ScienceComputer Science (R0)