Knowledge based document classification supporting integrated document handling

Authors:
Helmut Eirund;Klaus Kreplin
Affiliations:
TA Triumph-Adler AG, TA Research Lab, Hundingstr. lib, D-8500 Nuernberg 80;TA Triumph-Adler AG, TA Research Lab, Hundingstr. lib, D-8500 Nuernberg 80
Venue:
COCS '88 Proceedings of the ACM SIGOIS and IEEECS TC-OA 1988 conference on Office information systems
Year:
1988

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Abstract

An experimental office system currently being developed at Olivetti research integrates two major requirements of office work: content based document retrieval and mail distribution. In this system documents are described and classified by their semantic structure that provides access to abstract concepts contained in the document. The derivation of the semantic structure of a document supports both an efficient retrieval by content and an intelligent mail filtering through document semantics. A knowledge based classification system automatically generates the conceptual description of a document to be inserted into the system by means of content analysis, and associates the document to an appropriate predefined type. The classification system closes the gap between electronic document entry systems and processing of (semi-) structured document content.