RUBRIC: A System for Rule-Based Information Retrieval
IEEE Transactions on Software Engineering - Special issue on COMPSAC 1982 and 1983
The role of frame-based representation in reasoning
Communications of the ACM
Computer
Approaches to intelligent information retrieval
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
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
ODA: a document architecture for open systems
Computer Communications
Semi-automatic acquisition of conceptual structure from technical texts
International Journal of Man-Machine Studies
Knowledge-based retrieval of office documents
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Querying office systems about document roles
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-Media Office Filing: The Multos Approach
Multi-Media Office Filing: The Multos Approach
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The Kabiria document management system, which represents the knowledge needed by document producers and users as a component of document semantics, is discussed. Kabiria supports the classification, filing, and retrieval of office documents through three levels of knowledge representation: a static level, bound to the structure and textual content of documents; a procedural level, related to the operational aspects of office work; and a domain level, related to the specific application domain and its governing regulations. While documents are represented at a deep level of detail, the office context of procedures, agents, events, and regulations is represented in terms of elements that are modeled according to their links to documents.