RUBRIC: A System for Rule-Based Information Retrieval
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Knowledge based document classification supporting integrated document handling
COCS '88 Proceedings of the ACM SIGOIS and IEEECS TC-OA 1988 conference on Office information systems
Interactive retrieval office documents
COCS '88 Proceedings of the ACM SIGOIS and IEEECS TC-OA 1988 conference on Office information systems
ACM Computing Surveys (CSUR)
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
Automatic text processing
Knowledge-based search tactics for an intelligent intermediary system
ACM Transactions on Information Systems (TOIS)
Dynamic user profiles and flexible queries in office document retrieval systems
Decision Support Systems
User-specified domain knowledge for document retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
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ACM Transactions on Database Systems (TODS)
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Document classification and retrieval systems for office applications require knowledge management to describe the semantics of documents related to procedural and domain dependent aspects of the office work to be described: operational dependencies, documents relationships and references to regulations and laws are concepts which are not explicitly stated in the text. This paper presents a semantic model for office documents classification and retrieval based on knowledge representation of the office procedural environment and of the application domain. Navigation along knowledge networks for document retrieval and browsing is described.