RDBMS provides best performance for querying structured data that starts out with a well-defined schema. However, such a 'schema first, data later' approach does not work for unstructured data or data without much structure. Therefore, RDBMS typically stores such data without any schema in LOB columns (for example, Character Large Object (CLOB) or Binary Large Object (BLOB) columns) and provides Information-Retrieval (IR) style, keyword-based search capability over these LOB columns. Lately, XML as a native datatype (XMLType) in RDBMS has been introduced via the SQL/XML standard. Semi-structured data with or without any schema can be stored into such XMLType columns, and XQuery provides query capability over them. In particular, XQuery full text specification provides the capability of searching keywords within document context. Such full context-aware text search capability is more powerful than pure keyword search, since the user can now provide fine-grained context in which the keywords should occur. However, XML with XQuery full text searching requires that the user first convert her text data into XML and store them into XMLType column. Such massive physical data migration with possible loss of document fidelity and its potential impact on existing production environments are often expensive enough that users are reluctant to adopt the XML/XQuery approach.