Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Efficient keyword search for smallest LCAs in XML databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Spark: top-k keyword query in relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Effective keyword search for valuable lcas over xml documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Keyword proximity search in complex data graphs
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Fast ELCA computation for keyword queries on XML data
Proceedings of the 13th International Conference on Extending Database Technology
Keyword search over relational databases: a metadata approach
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
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Keyword search is a user-friendly way to retrieve information from XML and relational database (RDB). There have been many approaches proposed for keyword search over XML and RDB. However, the existing approaches cannot fully exploit hidden semantics in XML document or RDB. This causes serious problems in processing some class of keyword queries. In this paper, we thoroughly point out mismatches between answers returned by existing approaches and the expectations of common users. Through detailed analysis of these mismatches, we show the importance of semantics in keyword search over XML and RDB and propose a semantics-based approach for processing XML and RDB keyword queries. Particularly, we propose to use Object Relationship (OR) data graph and Object Relationship Mixed (ORM) data graph, which fully capture semantics of object, relationship and attribute, to represent XML document and RDB respectively, and we develop algorithms based on the proposed data model to return more comprehensive answers.