Paper Info
Title
Simplifying mashup component selection with a combined similarity- and social-based technique
Abstract
Web mashups are becoming the main approach to build Web applications. Current approaches to enable component selection include description-based techniques and socially generated metadata. The explosive growth of APIs makes increasingly harder selecting appropriate components for each mashup. Unfortunately, description-based techniques rely heavily on the quality of authors' information, and social-based approaches suffer problems like "cold-start" and "preferential attachment". This article proposes (1) two new measures of socially ranked fitness of candidate components, (2) an API functional taxonomy using Formal Concept Analysis based on descriptions, and (3) a combined approach that improves description-based techniques with these social ranking measures. We use social rankings based on past (co-)utilization of APIs: WAR (Web API Rank) measures API utilization over time, and CAR (Co-utilization API Rank) measures its co-utilization with other APIs. The measures and the combined approach are illustrated with a case study using the well-known Web APIs catalog ProgrammableWeb. A prototype tool allows iterative discovery of APIs and assists the mashup creation process.
Year
DOI
Venue
2011
10.1145/2076006.2076015
Proceedings of the 5th International Workshop on Web APIs and Service Mashups
Keywords
DocType
Citations 
measures api utilization,main approach,current approach,co-utilization api rank,web application,social-based technique,mashup component selection,well-known web apis catalog,api functional taxonomy,web api rank,combined approach,combined similarity,description-based technique,social network,recommendation system,recommender system,formal concept analysis,mashup
Conference
16
PageRank 
References 
Authors
0.82
12
3
Name
Order
Citations
PageRank
Boris Tapia1401.84
Romina Torres28510.38
Hernán Astudillo326436.77