Please use this identifier to cite or link to this item:
|Title:||Efficient evaluation of multiple queries on streaming XML data||Authors:||Lee, M.L.
|Keywords:||Finite state machines
Regular path expressions
|Issue Date:||2002||Citation:||Lee, M.L.,Chua, B.C.,Hsu, W.,Tan, K.-L. (2002). Efficient evaluation of multiple queries on streaming XML data. International Conference on Information and Knowledge Management, Proceedings : 118-125. ScholarBank@NUS Repository.||Abstract:||Traditionally, XML documents are processed at where they are stored. This allows the query processor to exploit pre-computed data structures (e.g., index) to retrieve the desired data efficiently. However, this mode of processing is not suitable for many applications where the documents are frequently updated. In such situations, efficient evaluation of multiple queries over streaming XML documents becomes important. This paper introduces a new operator, mqX-scan, which efficiently evaluates multiple queries with a single pass on streaming XML data. To facilitate matching, mqX-scan utilizes templates containing paths that have been traversed to match regular path expression patterns in a pool of queries. Results of the experiments demonstrate the efficiency and scalability of the mqX-scan operator.||Source Title:||International Conference on Information and Knowledge Management, Proceedings||URI:||http://scholarbank.nus.edu.sg/handle/10635/40562|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.