Storing semistructured data with STORED
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Storing and querying ordered XML using a relational database system
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
From XML Schema to Relations: A Cost-Based Approach to XML Storage
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Exploiting native XML indexing techniques for XML retrieval in relational database systems
Proceedings of the 7th annual ACM international workshop on Web information and data management
X2R: a system for managing XML documents and key constraints using RDBMS
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
XTRON: An XML data management system using relational databases
Information and Software Technology
Bitmap indexes for relational XML twig query processing
Proceedings of the 18th ACM conference on Information and knowledge management
Fast query for large treebanks
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
COVER model pivot view indexing for efficient XML data management
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Field-weighted XML retrieval based on BM25
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
An efficient index scheme for XML databases
SOFSEM'06 Proceedings of the 32nd conference on Current Trends in Theory and Practice of Computer Science
Hi-index | 0.00 |
We demonstrate the XISS/R system, an implementation of the XML Indexing and Storage System (XISS) on top of a relational database. The system is based on the XISS extended preorder numbering scheme, which captures the nesting structure of XML data and provides the opportunity for storage and query processing independent of the particular structure of the data. The system includes a web-based user interface, which enables stored documents to be queried via XPath. The user interface utilizes the XPath Query Engine, which automatically translates XPath queries into efficient SQL statements.