ColumbuScout: Towards Building Local Search Engines Over Large Databases

In many database applications, search is still executed via form-based query interfaces, which are then translated into SQL statements to find matching records. Ranking is usually not implemented unless users have explicitly indicated how to rank the matching records, e.g., in the ascending order of year. Often, this approach is neither intuitive nor user-friendly. It also requires application developers to design schema-specific query forms and develop specific programs that understand these forms. In this paper, the authors propose to demonstrate the ColumbuScout system that aims at quickly building and deploying a local search engine over one or more large databases.
Provided by: Association for Computing Machinery Topic: Big Data Date Added: May 2012 Format: PDF

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