Layered index structures in document database systems
Proceedings of the seventh international conference on Information and knowledge management
A flexible model for retrieval of SGML documents
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Storing semistructured data with STORED
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
A structured documents retrieval method supporting attribute-based structure information
Proceedings of the 2002 ACM symposium on Applied computing
Information organization and databases
Building a Hybrid Database Application for Structured Documents
Multimedia Tools and Applications
Design and Implementation of a Structured Information Retrieval System for SGML Documents
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
An OODBMS-IRS Integration Based on a Statistical Corpus Extraction Method for Document Management
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Combining Pat-Trees and Signature Files for Query Evaluation in Document Databases
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Structured document storage and refined declarative and navigational access mechanisms in HyperStorM
The VLDB Journal — The International Journal on Very Large Data Bases
Access control in an object-oriented document repository
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
| Hi-index | 0.00 |
In document management systems it is desirable to provide content-based access to documents going beyond regular expression search in addition to access based on structural characteristics or associated attributes. We present a new approach for coupling OODBMSs (Object Oriented Database Management Systems) and IRSs (Information Retrieval Systems) that provides enhanced flexibility and functionality as compared to coupling approaches reported from the literature. Our approach allows to decide freely to which document collections, that are used as retrieval context, document objects belong, which text contents they provide for retrieval and how they derive their associated retrieval values, either directly from the retrieval machine or from the values of related objects. Especially, we show how in this approach different strategies can be applied to hierarchically structured documents, possibly avoiding redundancy and IRS or OODBMS peculiarities. Content-based and structural queries can be freely combined within the OODBMS query language.