Metadata management for federated databases
Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
Information retrieval from digital libraries in SQL
Proceedings of the 10th ACM workshop on Web information and data management
Keyword search across databases and documents
Proceedings of the 2nd International Workshop on Keyword Search on Structured Data
Integrating and querying web databases and documents
Proceedings of the 20th ACM international conference on Information and knowledge management
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Large collections of documents are commonly created around a database, where a typical database schema may contain hundreds of tables and thousands of columns. We developed a system based on SQL code generation and User-Defined Functions that analyzes document-to-metadata links by extracting a basic set of relationships at different levels of granularities: coarse, medium and fine. Such relationships are then stored and queried in the DBMS, allowing the user to explore, query, and rank how columns and tables are related to users and applications. At the same time, our system provides typical information retrieval capabilities for querying medium-sized document collections of interrelated documents in the DBMS, with an acceptable performance.