System architecture to integrate and query XML data
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Update XML data by using graphical languages
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Performing grouping and aggregate functions in XML queries
Proceedings of the 18th international conference on World wide web
GQLX: a new graphical query language for XML data
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
VIREX and VRXQuery: interactive approach for visual querying of relational databases to produce XML
Journal of Intelligent Information Systems
A powerful visual formalism for XML data
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Query optimization for a graph database with visual queries
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
GMQL: A graphical multimedia query language
Knowledge-Based Systems
Translate graphical XML query language to SQLX
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Semantic interoperability in healthcare information for EHR databases
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
Graph-semantic based web data model: conceptual design to logical representation
Journal of Computational Methods in Sciences and Engineering
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The increase in the use of XML (eXtensible MarkupLanguage) makes the semistructured data more and moreimportant on the Web. To exploit the full power of XMLdocuments, a query language for semistructured data will be apromising and interesting application. However, the XQuerystandard released by W3C is too difficult for common users touse. Some XML graphical query languages for semistructureddata have been proposed but they are either too complex ortoo limited in use. In this paper, we introduce a graphicalquery language for semistructured data, which we call GLASS.GLASS is developed on the base of ORA-SS data model, asemantically richer data model for semistructured data. InGLASS, we combine the advantages of graphs and texts, whichmake the graphical language much clear and easy to use. Thepaper presents the notations and basic capabilities of GLASSvia a series of examples with increasingly complexity. We alsodiscuss some complex query examples such as order, groupentity, negation and IF-THEN statement.