MRD: A Mashup Resource Discovery Approach Applying Semantics Indexing
The mashup is a hot research topic in recent years. In this paper, the authors propose an efficient Mashup Resource Discovery (MRD) approach to facilitating mashup searching. Based on an index library, MRD acts high performance in running time evaluation. By an external ontology base and a synonym base, they apply semantics in their MRD approach, avoiding semantics annotation in description files. By evaluating the prestige of mashups (especially for mashup api), they optimize the discovery results. The experiments show that their MRD acts high performance both in running time evaluation and in r-p curve statistics.