Abstract
Enterprises often promote internal collaboration to improve performances, in terms of time and quality, of their design and operational processes. Recently, enterprise mashup has been introduced as an approach for quick developing applications which are created to satisfy short term business needs. Mashup development leverages on collaboration to integrate software components, called Web APIs, which can provide access to complex functionalities and rich data sources. To this aim, we propose a collaboration model-based approach that includes description of Web API features based on the ProgrammableWeb.com public repository and social relationships among developers. This model is proposed as part of the Enterprise 2.0 paradigm, that has been recently introduced as application of the Web 2.0 technologies and ideas to the enterprise environment. In the discussed model, a mashup developer is supported in searching for the other developers’ assistance and advices according to different perspectives reflecting typical collaboration patterns: (1) experience on the use of specific Web APIs; (2) experiences on specific Web API technologies; (3) competencies in developing specific types of mashups.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mcafee, A. P. (2006). Of emergent collaboration enterprise 2.0: The dawn of emergent collaboration. MIT Sloan Management Review, 47(3), 21–28.
IBM, IBM connections. http://www-01.ibm.com/software/lotus/products/connections.
TELLIGENT, TELLIGENT enterprise. http://telligent.com/social-enterprise-software.
Soriano, J., Lizcano, D., Cañas, M. A., Reyes, M., & Hierro, J. J. (2007). Fostering innovation in a mashup-oriented enterprise 2.0 collaboration environment. Business, 24(1), 62–68.
Gomadam, K., Ranabahu, A., Nagarajan, M., Sheth, A. P., & Verma, K. (2008). A faceted classification based approach to search and rank web APIs, 6th IEEE International Conference on Web Services (ICWS08).
Goarany, K., Kulczycki, G., & Blake, M. B. (2010). Mining social tags to predict mashup patterns. Information Systems Journal, 10(Smuc), 71–77.
Bianchini, D., De Antonellis, V., & Melchiori, M. (2012). Semantic collaborative tagging for web APIs sharing and reuse. In Proceedings of the 12th International Conference on Web Engineering (ICWE’12), pp. 76–90. (LNCS No. 7387).
Greenshpan, O., Milo, T., & Polyzotis, N. (2009). Autocompletion for mashups. In Proceedings of the 35th International Conference on Very Large DataBases (VLD B’09), pp. 538–549.
Tapia, B., Torres, R., & Astudillo, H. (2011). Simplifying mashup component selection with a combined similarity- and social-based technique. In A. Koschmider., E. Wilde & C. Zirpins (Eds.), Proceedings of the 5th International Workshop on Web APIs and Service Mashups (Mashups ‘11). New York: ACM.
Bianchini, D., De Antonellis, V., & Melchiori. M. (2011). Semantics-enabled web APIs selection patterns. In Proceedings of the ACM 15th Symposium on International Database Engineering & Applications (IDEAS ‘11). Lisbon, pp. 204–208.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bianchini, D., De Antonellis, V., Melchiori, M. (2013). Modeling Collaboration for Mashup Design. In: Spagnoletti, P. (eds) Organizational Change and Information Systems. Lecture Notes in Information Systems and Organisation, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37228-5_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-37228-5_45
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37227-8
Online ISBN: 978-3-642-37228-5
eBook Packages: Business and EconomicsBusiness and Management (R0)