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
SilkRoute: A framework for publishing relational data in XML
ACM Transactions on Database Systems (TODS)
NeT & CoT: translating relational schemas to XML schemas using semantic constraints
Proceedings of the eleventh international conference on Information and knowledge management
Efficiently publishing relational data as XML documents
The VLDB Journal — The International Journal on Very Large Data Bases
XViews: XML Views of Relational Schemas
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Integrating XML and Relational Database Systems
World Wide Web
Data & Knowledge Engineering - Special issue: ER 2004
PATAXÓ: A framework to allow updates through XML views
ACM Transactions on Database Systems (TODS)
Querying xml with update syntax
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
DTD-directed publishing with attribute translation grammars
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Designing quality XML schemas from e-r diagrams
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Schema mapping with quality assurance for data integration
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
A graph-theoretic approach to map conceptual designs to XML schemas
ACM Transactions on Database Systems (TODS)
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In this paper, we propose a holistic scheme of transforming a relational schema into an XML Schema with integrity constraints preserved. This scheme facilitates constructing a schema for the published XML views of relational data. With this schema, users are able to issue qualified queries against XML views, and discover update anomalies in advance before propagating the view updates into relational database. Compared to the previous work which splits the transformation process into two steps, we establish a holistic solution to directly transform a relational schema into an XML Schema without building a reference graph. We achieve this by classifying the underlying relations in a more concise and effective way, and applying the converting rules wisely. The rules are also devised to be more compact and less complicated in contrast to those in our previous work. Finally, we manage to crack another hard nut which was seldom touched before, i.e. converting circularly referenced relations into recursive XML Schema.