NeT & CoT: translating relational schemas to XML schemas using semantic constraints
Proceedings of the eleventh international conference on Information and knowledge management
Designing Functional Dependencies for XML
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Style normalization for canonical X-to-O mappings
Proceedings of the 2007 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation
Extended abstract: towards verifying semistructured data
APCCM '07 Proceedings of the fourth Asia-Pacific conference on Comceptual modelling - Volume 67
A Z Approach in Validating ORA-SS Data Models
Electronic Notes in Theoretical Computer Science (ENTCS)
SemanticTwig: a semantic approach to optimize XML query processing
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Theorem prover approach to semistructured data design
Formal Methods in System Design
Validating semistructured data using OWL
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Reasoning about ORA-SS data models using the semantic web
Journal on Data Semantics VII
Research into verifying semistructured data
ICDCIT'06 Proceedings of the Third international conference on Distributed Computing and Internet Technology
DFRS: a domain-based framework for representing semi-structured data
Proceedings of the CUBE International Information Technology Conference
A graph-theoretic approach to map conceptual designs to XML schemas
ACM Transactions on Database Systems (TODS)
Conservative type extensions for XML data
Transactions on Large-Scale Data- and Knowledge-centered systems IX
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Semistructured data has become prevalent with the growth of the Internet. The development of new web applications that require efficient design and maintenance of large amounts of data makes it increasingly important to design "good" semistructured databases to prevent data redundancy and updating anomalies. However, it is not easy, even impossible, for current semistructured data models to capture the semantics traditionally needed for designing databases. In this paper, we show how an Object-Relationship-Attribute model for Semistructured data (ORAS-SS) can facilitate the design of "good" semistructured databases. This is accomplished via the normalization form ORA-SS schema diagram has no undesirable redundancy, and thus no updating anomalies for the complying semistructured databases. The general design methodology and detailed steps for converting an ORA-SS schema diagram into a normal form ORA-SS schema diagram are presented. These steps can also be used as guideline for designing semistructured databases using the ORA-SS model.