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 | |
| 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 |
Fingerprint
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
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
}
TY - GEN
T1 - Efficient, interactive recommendation of mashup composition knowledge
AU - Roy Chowdhury, Soudip
AU - Daniel, Florian
AU - Casati, Fabio
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=82055196757&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=82055196757&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25535-9_25
DO - 10.1007/978-3-642-25535-9_25
M3 - Conference contribution
AN - SCOPUS:82055196757
SN - 9783642255342
VL - 7084 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 374
EP - 388
BT - Service-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings
ER -