Expert/consultation system for a retrieval data-base with semantic network of concepts
SIGIR '81 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval
Information Retrieval
Special issue on knowledge representation
ACM SIGART Bulletin
Informational zooming: an interaction model for the graphical access to text knowledge bases
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in 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
Building expert systems through the integration of mental models
IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
User-specified domain knowledge for document retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Composite document extended retrieval: an overview
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
A conceptual model and experiments on how people classify and retrieve documents
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
OTTER - An information retrieval system for office automation
COCS '84 Proceedings of the second ACM-SIGOA conference on Office information systems
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A document retrieval system is a quite useful tool in office environments, expecially for professionals who are interested in keeping along with the state of the art of their field by quickly consulting documents. The paper describes the design and the implementation of a document retrieval system based on a concept extraction from documents. Concept extraction is implemented using an internal knowledge representation (semantic network memory) of the subject the documents deal with retrieving concepts from a text is performed by search/inferential algorithms. Advantages of such methods are shown by comparing it to keyword extraction. The prototype system implementation is described. This system is actually in experimental phase. Several test descriptions provide a sketch of the first results.