Proceedings of the VLDB Endowment
Component-based development of mobile assistants with the ELEPHANT system
Mobility '09 Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
Applying recommender system based mashup to web-telecom hybrid service creation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Tool-support for mobile and pervasive application development - issues and challenges
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Mining social tags to predict mashup patterns
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Wisdom-aware computing: on the interactive recommendation of composition knowledge
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
Database-as-a-service for long-tail science
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
TM: a development technique for e-government 2.0 portals
WSEAS Transactions on Information Science and Applications
Simplifying mashup component selection with a combined similarity- and social-based technique
Proceedings of the 5th International Workshop on Web APIs and Service Mashups
Semantics-enabled web APIs selection patterns
Proceedings of the 15th Symposium on International Database Engineering & Applications
Mashup services to daily activities: end-user perspective in designing a consumer mashups
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Efficient, interactive recommendation of mashup composition knowledge
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Discovery and reuse of composition knowledge for assisted mashup development
Proceedings of the 21st international conference companion on World Wide Web
VizDeck: self-organizing dashboards for visual analytics
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
VizDeck: a card game metaphor for fast visual data exploration
CHI '12 Extended Abstracts on Human Factors in Computing Systems
PPPDM - a privacy-preserving platform for data mashup
International Journal of Grid and Utility Computing
Socially-Enriched semantic mashup of web APIs
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
MashStudio: an on-the-fly environment for rapid mashup development
IDCS'12 Proceedings of the 5th international conference on Internet and Distributed Computing Systems
A framework for guided search of mashup components
Proceedings of the 3rd International Workshop on Semantic Search Over the Web
A multi-perspective framework for web API search in enterprise mashup design
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Advanced Web API search patterns adding collective knowledge to public repository facets
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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Mashup editors, like Yahoo Pipes and IBM Lotus Mashup Maker, allow non-programmer end-users to “mash-up” information sources and services to meet their information needs. However, with the increasing number of services, information sources and complex operations like filtering and joining, even an easy to use editor is not sufficient. MashupAdvisor aims to assist mashup creators to build higher quality mashups in less time. Based on the current state of a mashup, the MashupAdvisor quietly suggests outputs (goals) that the user might want to include in the final mashup. MashupAdvisor exploits a repository of mashups to estimate the popularity of specific outputs, and makes suggestions using the conditional probability thatan output will be included, given the current state of the mashup. When a suggestion is accepted, MashupAdvisor uses a semantic matching algorithm and a metric planner to modify the mashup to produce the suggested output. Our prototype was implemented on top of IBM Lotus MashupMaker and our initial results show that it is effective.