XRel: a path-based approach to storage and retrieval of XML documents using relational databases
ACM Transactions on Internet Technology (TOIT)
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th 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
From XML Schema to Relations: A Cost-Based Approach to XML Storage
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Storing and querying XML data using denormalized relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
Semantic Web Infrastructure Using DataPile
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
ShreX: managing XML documents in relational databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
A Journey towards More Efficient Processing of XML Data in (O)RDBMS
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
Elliptic indexing of multidimensional databases
ADC '09 Proceedings of the Twentieth Australasian Conference on Australasian Database - Volume 92
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As the XML has become a standard for data representation, it is inevitable to propose and implement techniques for efficient managing of XML data. A natural alternative is to exploit features of (object-)relational database systems, i.e. to rely on their long theoretical and practical history. The main concern of such techniques is the choice of an appropriate XML-to-relational mapping strategy. In this paper we focus on enhancing of user-driven techniques which leave the mapping decisions in hands of users who specify their requirements using schema annotations. We describe our prototype implementation called UserMap which is able to exploit the annotations more deeply searching the user-specified "hints" in the rest of the schema and applies an adaptive method on the remaining schema fragments. Using a sample set of supported fixed mapping methods we discuss problems related to query evaluation for storage strategies generated by the system, in particular correction of the candidate set of annotations and related query translation. And finally, we describe the architecture of the whole system.