Data on the Web: from relations to semistructured data and XML
Data on the Web: from relations to semistructured data and XML
On wrapping query languages and efficient XML integration
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
XTRACT: a system for extracting document type descriptors from XML documents
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
XClust: clustering XML schemas for effective integration
Proceedings of the eleventh international conference on Information and knowledge management
Adding Structure to Unstructured Data
ICDT '97 Proceedings of the 6th 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
Views in a Large Scale XML Repository
Proceedings of the 27th International Conference on Very Large Data Bases
Answering XML Queries on Heterogeneous Data Sources
Proceedings of the 27th International Conference on Very Large Data Bases
Extended Faceted Taxonomies for Web Catalogs
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
A Grammar Based Model for XML Schema Integration
BNCOD 17 Proceedings of the 17th British National Conferenc on Databases: Advances in Databases
Ontology-Based Integration of XML Web Resources
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A Data Integration Framework for e-Commerce Product Classification
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Catalog Integration for Electronic Commerce through Category-Hierarchy Merging Technique
RIDE '02 Proceedings of the 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems (RIDE'02)
Semantic querying of tree-structured data sources using partially specified tree patterns
Proceedings of the 14th ACM international conference on Information and knowledge management
Semantic integration of tree-structured data using dimension graphs
Journal on Data Semantics IV
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Tree structures provide a popular means to organize the information on the Web. Taxonomies of thematic categories, concept hierarchies, e-commerce product catalogs are examples of such structures. Querying multiple data sources that use tree structures to organize their data is a challenging issue due to name mismatches, structural differences and structural inconsistencies that occur in such structures, even for a single knowledge domain. In this paper, we present a method to query tree-structured data. We introduce dimensions which are sets of semantically related nodes in tree structures. Based on dimensions, we suggest dimension graphs. Dimension graphs can be automatically extracted from trees and abstract their structural information. They are semantically rich constructs that provide query guidance to pose and evaluate queries on trees. We design a query language to query tree-structured data. A key feature of this language is that queries are not restricted by the structure of the trees. We present a technique for evaluating queries and we provide necessary and sufficient conditions for checking query unsatisfiability. We also show how dimension graphs can be used to query multiple trees in the presence of structural differences and inconsistencies.