Efficient management of transitive relationships in large data and knowledge bases
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
World Wide Web Journal - Special issue on XML: principles, tools, and techniques
Compact labeling schemes for ancestor queries
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
On supporting containment queries in relational database management systems
SIGMOD '01 Proceedings of the 2001 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
Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
A Prime Number Labeling Scheme for Dynamic Ordered XML Trees
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
ORDPATHs: insert-friendly XML node labels
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
QED: a novel quaternary encoding to completely avoid re-labeling in XML updates
Proceedings of the 14th ACM international conference on Information and knowledge management
Efficient Processing of Updates in Dynamic XML Data
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
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It is important to process the updates when nodes are inserted into or deleted from the XML tree. However, all the existing labeling schemes have high update cost. In this paper, we innovatively introduce a concept of Forbidden Code Segment (FCS), and then propose a novel and efficient encoding approach, called Extended Lexicographical Order encoding based on Forbidden Code Segment (FCS-ELO Encoding), whose codes are more compact than CDBS and QED codes. The most important characteristic is that our FCS-ELO labeling scheme can gracefully handle arbitrary update patterns and completely avoid re-labeling in XML updates, which is not at the sacrifice of query performance. We deliver the detailed theoretic analyses and experiments to show that, the proposed labeling scheme is superior to all the existing dynamic labeling schemes to process updates in terms of the incremental label size and the time for updating.