Lore: a database management system for semistructured data
ACM SIGMOD Record
Discovering typical structures of documents: a road map approach
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Data on the Web: from relations to semistructured data and XML
Data on the Web: from relations to semistructured data and XML
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Encoded Bitmap Indexing for Data Warehouses
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Performance Measurements of Compressed Bitmap Indices
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
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EXtended Markup Language (XML), which are becoming new standard for representing and exchanging data in the Internet, don't have defined schema. It is not proper to directly apply XML documents to the existing SQL or OQL. Research on how to extract schema for XML documents and query language is going on actively. For users' query, the query results could be too many or too few. It is important to give the users good size results. We suggest the way to extract schema using some graphs according to the frequency of element occurrence in XML documents. The extracted schema can be reduced or extended to correspond to the users' query more flexibly. We test our proposed method and the results show that our method is a desirable extracting schema for XML documents.