Data model issues for object-oriented applications
ACM Transactions on Information Systems (TOIS)
Development and implementation of an object-oriented DBMS
Research directions in object-oriented programming
An extended relational document retrieval model
Information Processing and Management: an International Journal - The Potential for Improvments in Commerical Document Retrieval Systems
VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
Expressing structural hypertext queries in graphlog
HYPERTEXT '89 Proceedings of the second annual ACM conference on Hypertext
A probabilistic relational data model
EDBT '90 Proceedings of the 2nd international conference on extending database technology: Advances in Database Technology
Object-oriented database systems
Readings in object-oriented database systems
A probabilistic framework for vague queries and imprecise information in databases
Proceedings of the sixteenth international conference on Very large databases
Interactive retrieval of complex documents
Information Processing and Management: an International Journal
Database programming languages: a functional approach
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Inference networks for document retrieval
Inference networks for document retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The Iris Architecture and Implementation
IEEE Transactions on Knowledge and Data Engineering
Methods for the administration of textual data in database systems
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
Extended User-Defined Indexing with Application to Textual Databases
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Structured answers for a large structured document collection
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
SPIDER: a multiuser information retrieval system for semistructured and dynamic data
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Document retrieval facilities for repository-based system development environments
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Layered index structures in document database systems
Proceedings of the seventh international conference on Information and knowledge management
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Integrating a Structured-Text Retrieval System with an Object-Oriented Database System
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
The TEXTURE benchmark: measuring performance of text queries on a relational DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
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Document management systems are needed for many business applications. This type of system would combine the functionality of a database system, (for describing, storing and maintaining documents with complex structure and relationships) with a text retrieval system (for effective retrieval based on full text). The retrieval model for a document management system is complicated by the variety and complexity of the objects that are represented. In this paper, we describe an approach to complex object retrieval using a probabilistic inference net model, and an implementation of this approach using a loose coupling of an object-oriented database system (IRIS) and a text retrieval system based on inference nets (INQUERY). The resulting system is used to store long, structured documents and can retrieve document components (sections, figures, etc.) based on their contents or the contents of related components. The lessons learnt from the implementation are discussed.