Proximal nodes: a model to query document databases by content and structure
ACM Transactions on Information Systems (TOIS)
An approach to a digital library of newspapers
Information Processing and Management: an International Journal - Special issue on electronic news
Integrating contents and structure in text retrieval
ACM SIGMOD Record
Object Database Standard: ODMG-93, Release 1.2
Object Database Standard: ODMG-93, Release 1.2
Path Signatures: A Way to Speed Up Recursion in Relational Databases
IEEE Transactions on Knowledge and Data Engineering
Modeling and Querying Semi-structured Data
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Metadata for a Digital Library of Historical Documents
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
A Retrieval Language for Historical Documents
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
Gathering Metadata from Web-Based Repositories of Historical Publications
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Techniques and Tools for the Temporal Analysis of Retrieved Information
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
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This paper proposes a new and efficient method to represent, store and retrieve structured documents from object-relational databases. Its main contribution consists of a codification scheme for document structures that assigns codes to documents as an additional attribute. Thus, retrieval conditions on the structure of documents can be evaluated by applying these codes, avoiding traversing object references. The paper also gives some clues to the construction of a repository of structured documents over object-relational tables, so that query conditions regarding the contents, structure and metadata of documents are executed by the underlying database system.