APEX: an adaptive path index for XML data
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Covering indexes for branching path queries
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Holistic twig joins: optimal XML pattern matching
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Using histograms to estimate answer sizes for XML queries
Information Systems - Special issue: Best papers from EDBT 2002
Optimizing Regular Path Expressions Using Graph Schemas
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Structural Properties of XPath Fragments
ICDT '03 Proceedings of the 9th International Conference on Database Theory
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
The VLDB Journal — The International Journal on Very Large Data Bases
ViST: a dynamic index method for querying XML data by tree structures
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
D(k)-index: an adaptive structural summary for graph-structured data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Containment and equivalence for a fragment of XPath
Journal of the ACM (JACM)
PRIX: Indexing And Querying XML Using Prüfer Sequences
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Multiresolution Indexing of XML for Frequent Queries
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Incremental maintenance of XML structural indexes
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
ORDPATHs: insert-friendly XML node labels
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
XPath satisfiability in the presence of DTDs
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Efficient algorithms for processing XPath queries
ACM Transactions on Database Systems (TODS)
Efficient processing of XML path queries using the disk-based F&B Index
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Semantic characterizations of navigational XPath
ACM SIGMOD Record
Processing queries on tree-structured data efficiently
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Structural characterizations of the semantics of XPath as navigation tool on a document
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
XSKETCH synopses for XML data graphs
ACM Transactions on Database Systems (TODS)
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficiently Querying Large XML Data Repositories: A Survey
IEEE Transactions on Knowledge and Data Engineering
A methodology for coupling fragments of XPath with structural indexes for XML documents
DBPL'07 Proceedings of the 11th international conference on Database programming languages
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The importance of performing efficient XML query processing increases along with its usage and pervasiveness. Studying the properties of important fragments of XML query languages and designing accurate structural summaries (including indexes and statistical summaries) are all critical ingredients in solving this problem. However, up to this point there has been a gap between the theoretical and engineering efforts taken in the context of XML. We draw from research methodologies used in relational query languages and database design and apply it to the study of XPath and the design of structural summaries for XML. In particular, we study the roles various fragments of XPath algebra play in distinguishing data components in an XML document, and leverage the results in designing novel structural indexes and statistical summaries for more efficient XML query processing and more accurate result size estimation.