Efficient, interactive recommendation of mashup composition knowledge

Soudip Roy Chowdhury, Florian Daniel, Fabio Casati

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

33 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикацииService-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings
Страницы374-388
Число страниц15
Том7084 LNCS
DOI
СостояниеОпубликовано - 2011
Опубликовано для внешнего пользованияДа
Событие9th International Conference on Service-Oriented Computing, ICSOC 2011 - Paphos, Кипр
Продолжительность: 5 дек 20118 дек 2011

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том7084 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция9th International Conference on Service-Oriented Computing, ICSOC 2011
СтранаКипр
ГородPaphos
Период5.12.118.12.11

    Fingerprint

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Цитировать

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