Validating semistructured data using OWL

Authors:
Yuan Fang Li;Jing Sun;Gillian Dobbie;Jun Sun;Hai H. Wang
Affiliations:
School of Computing, National University of Singapore, Singapore;Department of Computer Science, The University of Auckland, New Zealand;Department of Computer Science, The University of Auckland, New Zealand;School of Computing, National University of Singapore, Singapore;Department of Computer Science, University of Manchester
Venue:
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Year:
2006

Citing 5
Cited 1

Lore: a database management system for semistructured data

ACM SIGMOD Record
Adding Structure to Unstructured Data

ICDT '97 Proceedings of the 6th International Conference on Database Theory
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases

VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Designing Semistructured Databases Using ORA-SS Model

WISE '01 Proceedings of the Second International Conference on Web Information Systems Engineering (WISE'01) Volume 1 - Volume 1
Semistructured Database Design (Web Information Systems Engineering and Internet Technologie)

Semistructured Database Design (Web Information Systems Engineering and Internet Technologie)

Research into verifying semistructured data

ICDCIT'06 Proceedings of the Third international conference on Distributed Computing and Internet Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Semistructured data has become prevalent in both web applications and database systems. This rapid growth in use makes the design of good semistructured data essential. Formal semantics and automated reasoning tools enable us to reveal the inconsistencies in a semistructured data model and its instances. The Object Relationship Attribute model for Semistructured data (ORA-SS) is a graphical notation for designing and representing semistructured data. This paper presents a methodology of encoding the semantics of ORA-SS in the Web Ontology Language (OWL) and automatically validating the semistructured data design using the OWL reasoning tool – RACER. Our methodology provides automated consistency checking of an ORA-SS data model at both the schema and instance levels.