The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Adaptive Processing of Top-k Queries in XML
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Structure and content scoring for XML
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Approximate subtree identification in heterogeneous XML documents collections
XSym'05 Proceedings of the Third international conference on Database and XML Technologies
XS3: a system for similarity evaluation in multimedia-based heterogeneous XML repositories
MM '08 Proceedings of the 16th ACM international conference on Multimedia
An ontology-driven architecture for re-using semantic web services
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
XML data clustering: An overview
ACM Computing Surveys (CSUR)
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
| Hi-index | 0.00 |
Handling the heterogeneity of structure and/or content of XML documents for the retrieval of information is a fertile field of research nowadays. Many efforts are currently devoted to identifying approximate answers to queries that require relaxation on conditions both on the structure and the content of XML documents [1,2,4,5]. Results are ranked relying on score functions that measure their quality and relevance and only the top-k returned.