Multiway SLCA-based keyword search in XML data

Keyword search for smallest lowest common ancestors (SLCAs) in XML data has recently been proposed as a meaningful way to identify interesting data nodes in XML data where their subtrees contain an input set of keywords. In this paper, we generalize this useful search paradigm to support keyword search beyond the traditional AND semantics to include both AND and OR boolean operators as well. We first analyze properties of the LCA computation and propose improved algorithms to solve the traditional keyword search problem (with only AND semantics). We then extend our approach to handle general keyword search involving combinations of AND and OR boolean operators. The effectiveness of our new algorithms is demonstrated with a comprehensive experimental performance study. Categories and Subject Descriptors H.2.4 [Database Management]: Systems--query processing, texture databases General Terms Algorithms Keywords keyword search query, smallest lowest common ancestor, XML

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Chong Sun, Chee Yong Chan, Amit K. Goenka
• Keywords: General Keyword Search, Internet Technology, Keywords Keyword Search, Traditional Keyword Search, WWW 2007