From structured documents to novel query facilities
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Lore: a database management system for semistructured data
ACM SIGMOD Record
LORE: a Lightweight Object REpository for semistructured data
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Storing semistructured data with STORED
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Oracle8i: The Complete Reference (Book/CD-ROM Package)
Oracle8i: The Complete Reference (Book/CD-ROM Package)
APEX: an adaptive path index for XML data
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Proceedings of the 17th International Conference on Data Engineering
Tamino - A DBMS designed for XML
Proceedings of the 17th International Conference on Data Engineering
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
A Fast Index for Semistructured Data
Proceedings of the 27th International Conference on Very Large Data Bases
XML and Object-Relational Database Systems - Enhancing Structural Mappings Based on Statistics
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
The VLDB Journal — The International Journal on Very Large Data Bases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Quantity comparison of concurrency control methods for XML database systems based on DOM API
International Journal of Web Engineering and Technology
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XML is a self-describing meta-language and fast emerging as a dominant standard for Web data exchange among various applications. With the tremendous growth of XML documents, an efficient storage system is required to manage them. The conventional databases, which require all data to adhere to an explicitly specified rigid schema, are unable to provide an efficient storage for tree-structured XML documents. A new data model that is specifically designed for XML documents is required. In this paper, we propose a new storage system, named Efficient Native XML Storage System (ENAXS), for large and complex XML documents. ENAXS stores all XML documents in its native format to overcome the deficiencies of the conventional databases, achieve optimal storage utilization and support efficient query processing. In addition, we propose a path-based indexing scheme which is embedded in ENAXS for fast data retrieval. We have implemented ENAXS and evaluated its performance with real data sets. Experimental results show the efficiency and scalability of the proposed system in utilizing storage space and executing various types of queries.