A Semantic-Based Transcoding Mashup Server for Web 2.0 Sites

One problem of Web 2.0 applications lacks intelligence to cope with the XML-based documents transcoding. This study attempts to integrate semantic Web technologies into Web 2.0 mashups by defining a semantic-based Web2.0 mashups framework, which is developed based on service-oriented architecture (SOA) to ruling out heterogeneous effects. Based on the proposed framework, semantic-based transcoding mashup server (STMS) is also developed to facilitate finding useful Web 2.0 mashups to achieve Web 2.0 documents transcoding. To demonstrate the feasibility of STMS, an application scenario of the semantic-based mashup transcoding is implemented to convert map pages into various display platforms. Additionally, the study also realizes how semantic Web and Web 2.0 mashups can complement each other.