Scalable Hybrid Search on Distributed Databases

A hybrid keyword search that combines metadata search with a traditional keyword search over unstructured context data has been previously described. This hybrid search paradigm provides the inquirer additional options to narrow the search with some semantic aspect from the XML metadata query. But in earlier work, the scalability limitations of a single-machine implementation was experienced. This paper describes a scalable hybrid search on distributed databases. This scalable hybrid search provides a total query result from the collection of individual inquiries against independent data fragments distributed in a computer cluster. The paper demonstrates the architecture extends the scalability of a native XML query limited in a single machine and improves the performance for some queries.