On the Ontology Instance Matching Problem
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
Proceedings of the 10th ACM workshop on Web information and data management
Mashup Advisor: A Recommendation Tool for Mashup Development
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
A Faceted Classification Based Approach to Search and Rank Web APIs
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
A Quality Model for Mashup Components
ICWE '9 Proceedings of the 9th International Conference on Web Engineering
Proceedings of the VLDB Endowment
Hybrid techniques for web APIs recommendation
Proceedings of the 1st International Workshop on Linked Web Data Management
Simplifying mashup component selection with a combined similarity- and social-based technique
Proceedings of the 5th International Workshop on Web APIs and Service Mashups
Semantic collaborative tagging for web APIs sharing and reuse
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Towards Semantic-Assisted Web Mashup Generation
DEXA '12 Proceedings of the 2012 23rd International Workshop on Database and Expert Systems Applications
Extracting models from web API documentation
ICWE'12 Proceedings of the 12th international conference on Current Trends in Web Engineering
Towards a folksonomy of web APIs
Proceedings of the 3rd International Workshop on Semantic Search Over the Web
A framework for guided search of mashup components
Proceedings of the 3rd International Workshop on Semantic Search Over the Web
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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Enterprise mashups are agile applications which combine enterprise resources with other external applications or web services, by selecting and aggregating Web APIs provided by third parties. In this paper, we provide a framework based on different Web API features to support Web API search and reuse in enterprise mashup design. The framework operates according to a novel perspective, focused on the experience of web designers, who used the Web APIs to develop enterprise mashups. This new perspective is used jointly with other Web API search techniques, relying on classification features, like categories and tags, and technical features, like the Web API protocols and data formats. This enables designers, who as humans learn by examples, to exploit the collective knowledge which is based on past experiences of other designers to find the right Web APIs for a target application. We also present a preliminary evaluation of the framework.