Temporal query operators in XML databases
Proceedings of the 2002 ACM symposium on Applied computing
An authorization model for temporal XML documents
Proceedings of the 2002 ACM symposium on Applied computing
Accommodating Changes in Semistructured Databases Using Multidimensional OEM
ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
Algorithms for Temporal Query Operators in XML Databases
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
Specifying temporal data models for semistructured data by a constraint-based approach
Proceedings of the 2004 ACM symposium on Applied computing
Representing and querying histories of semistructured databases using multidimensional OEM
Information Systems - Special issue: ADBIS 2002: Advances in databases and information systems
Temporal queries and version management in XML-based document archives
Data & Knowledge Engineering
Temporal XML: modeling, indexing, and query processing
The VLDB Journal — The International Journal on Very Large Data Bases
ArchIS: an XML-based approach to transaction-time temporal database systems
The VLDB Journal — The International Journal on Very Large Data Bases
Artificial Intelligence in Medicine
Consistency of temporal XML documents
XSym'06 Proceedings of the 4th international conference on Database and XML Technologies
Modeling temporal dimensions of semistructured data
Journal of Intelligent Information Systems
Hi-index | 0.00 |
In many applications information about the history of data and their dynamic aspects are just as important as static information. During the last years the increasing amount of information accessible through the Web has presented new challenges to academic and industrial research on database. In this context, data are either structured, when coming from relational or object-oriented databases, or partially or completely unstructured, when they consist of simple collections of text or image files. In the context of semistructured data, models and query languages must be extended in order to consider dynamic aspects. We present a model based on labeled graphs for representing changes in semistructured data and a SQL-like query language for querying it.