A rule-based message filtering system
ACM Transactions on Information Systems (TOIS)
Balancing histogram optimality and practicality for query result size estimation
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
A novel navigation paradigm for XML repositories
Journal of the American Society for Information Science and Technology - XML
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
XBench Benchmark and Performance Testing of XML DBMSs
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
System RX: one part relational, one part XML
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A framework for using materialized XPath views in XML query processing
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
iDM: a unified and versatile data model for personal dataspace management
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
| Hi-index | 0.00 |
A significant amount of information is stored in computer systems today, but people are struggling to manage their documents such that the information is easily found. XML is a de-facto standard for content publishing and data exchange. The proliferation of XML documents has created new challenges and opportunities for managing document collections. Existing technologies for automatically organizing document collections are either imprecise or based on only simple criteria. Since XML documents are self describing, it is now possible to automatically categorize XML documents precisely, according to their content. With the availability of the standard XML query languages, e.g. XQuery, much more powerful folder technologies are now feasible. To address this new challenge and exploit this new opportunity, this paper proposes a new and powerful dynamic folder mechanism, called Hubble. Hubble fully exploits the rich data model and semantic information embedded in the XML documents to build folder hierarchies dynamically and to categorize XML collections precisely. Besides supporting basic folder operations, Hubble also provides advanced features such as multi-path navigation and folder traversal across multiple document collections. Our performance study shows that Hubble is both efficient and scalable. Thus, it is an ideal technology for automating the process of organizing and categorizing XML documents.