Graph classes: a survey
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
A Fast Index for Semistructured Data
Proceedings of the 27th International Conference on Very Large Data Bases
Parallel Query Processing Algorithms for Semi-structured Data
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
A Graph Query Language and Its Query Processing
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
The Query Language to XML Documents Connected by XLink Links
Programming and Computing Software
GDM: a new graph based data model using functional abstractionx
Journal of Computer Science and Technology - Special section on China AVS standard
Handling interlinked XML instances on the web
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Concurrent Operations for Accessing an XML Document in a Multi-user Environment
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
From box to bin: semi-automatic digitization of a huge collection of ethnological documents
ICADL'11 Proceedings of the 13th international conference on Asia-pacific digital libraries: for cultural heritage, knowledge dissemination, and future creation
Hi-index | 0.00 |
XML techniques are well suited to describe, manage, store, and exchange hierarchical, semi-structured data. Information represented beyond hierarchical structures can still be described and exchanged in XML format employing additional concepts such as ID/IDREF or XLink. However, retrieval, manipulation, and storage mechanisms are far away from being the ideal solution for such data. Query languages do not perform efficiently in these cases. Especially in scenarios, such as the Digital Wossidlo Archive (WossiDiA), a project dealing with a huge number of arbitrarily correlated data units, XML query evaluation and retrieval techniques face problems, such as intricate querying and bad efficiency. At this point a solution to manage these data efficiently needs to be devised. This paper introduces a first approach which attempts to find such a solution for the WossiDiA information system.