Efficient, interactive recommendation of mashup composition knowledge

Abstract

In this paper, we approach the problem of interactively querying and recommending composition knowledge in the form of re-usable composition patterns. The goal is that of aiding developers in their composition task. We specifically focus on mashups and browser-based modeling tools, a domain that increasingly targets also people without profound programming experience. The problem is generally complex, in that we may need to match possibly complex patterns on-the-fly and in an approximate fashion. We describe an architecture and a pattern knowledge base that are distributed over client and server and a set of client-side search algorithms for the retrieval of step-by-step recommendations. The performance evaluation of our prototype implementation demonstrates that - if sensibly structured - even complex recommendations can be efficiently computed inside the client browser.

Original language	English
Title of host publication	Service-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings
Pages	374-388
Number of pages	15
Volume	7084 LNCS
DOIs	https://doi.org/10.1007/978-3-642-25535-9_25
Publication status	Published - 2011
Externally published	Yes
Event	9th International Conference on Service-Oriented Computing, ICSOC 2011 - Paphos, Cyprus Duration: 5 Dec 2011 → 8 Dec 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7084 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Service-Oriented Computing, ICSOC 2011
Country	Cyprus
City	Paphos
Period	5.12.11 → 8.12.11

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-25535-9_25

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Cite this

Roy Chowdhury, S., Daniel, F., & Casati, F. (2011). Efficient, interactive recommendation of mashup composition knowledge. In Service-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings (Vol. 7084 LNCS, pp. 374-388). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7084 LNCS). https://doi.org/10.1007/978-3-642-25535-9_25

Efficient, interactive recommendation of mashup composition knowledge. / Roy Chowdhury, Soudip; Daniel, Florian; Casati, Fabio.

Service-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings. Vol. 7084 LNCS 2011. p. 374-388 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7084 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Roy Chowdhury, S, Daniel, F & Casati, F 2011, Efficient, interactive recommendation of mashup composition knowledge. in Service-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings. vol. 7084 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7084 LNCS, pp. 374-388, 9th International Conference on Service-Oriented Computing, ICSOC 2011, Paphos, Cyprus, 5.12.11. https://doi.org/10.1007/978-3-642-25535-9_25

Roy Chowdhury S, Daniel F, Casati F. Efficient, interactive recommendation of mashup composition knowledge. In Service-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings. Vol. 7084 LNCS. 2011. p. 374-388. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-25535-9_25

Roy Chowdhury, Soudip ; Daniel, Florian ; Casati, Fabio. / Efficient, interactive recommendation of mashup composition knowledge. Service-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings. Vol. 7084 LNCS 2011. pp. 374-388 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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