Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
Supporting office document architectures with constrained types
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
A formal treatment of missing & imprecise information
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Language Support for Office Modelling
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
Implementing ranking strategies using text signatures
ACM Transactions on Information Systems (TOIS)
A retrieval model incorporating hypertext links
HYPERTEXT '89 Proceedings of the second annual ACM conference on Hypertext
Knowledge-based retrieval of office documents
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Integration of probabilistic fact and text retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge-based document retrieval in office environments: the Kabiria system
ACM Transactions on Information Systems (TOIS)
Knowledge-Based Document Filing
IEEE Expert: Intelligent Systems and Their Applications
An Information-Retrieval Approach for Image Databases
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Distributed multimedia applications: A review
Computer Communications
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Office information systems are being used to describe and store documents with complex structure and multimedia content. Users of these systems can potentially make very complex specifications of the structure, layout and content of the documents they wish to retrieve. Although these complex queries could be more effective in identifying relevant documents, it is important that a well-defined model of retrieval is used, both as the basis for the retrieval strategies and the user interface. In this paper, we present a system (OFFICER) for the retrieval of office documents that is based on a model of plausible inference. The OFFICER query interface allows the specification of uncertain queries and combines uncertainties in the matching of queries and documents to produce an overall ranking for the documents.