Personal Document Management and Retrieval: A Knowledge-Based Approach

Document Type

Article

Publication Date

1-1-1998

Abstract

This paper presents a knowledge-based approach to managing and retrieving personal documents. The dual document models consist of a document type hierarchy and a folder organization. The document type hierarchy is used to capture the layout, logical and conceptual structures of documents. The folder organization mimics the user's real-world document filing system for organizing and storing documents in an office environment. Predicate-based representation of documents is formalized for specifying knowledge about documents. Document filing and retrieval are predicate-driven. The filing criteria for the folders, which are specified in terms of predicates, govern the grouping of frame instances, regardless of their document types. We incorporated the notions of document type hierarchy and folder organization into the multilevel architecture of document storage. This architecture supports various text-based information retrieval techniques and content-based multimedia information retrieval techniques. The paper also proposes a knowledge-based query-preprocessing algorithm, which reduces the search space. For automating the document filing and retrieval, a predicate evaluation engine with a knowledge base is proposed. The learning agent is responsible for acquiring the knowledge needed by the evaluation engine.

Identifier

0032154713 (Scopus)

Publication Title

Journal of Systems Integration

External Full Text Location

https://doi.org/10.1023/A:1026461329174

ISSN

09254676

First Page

287

Last Page

312

Issue

3

Volume

8

Fund Ref

AT and T Foundation

This document is currently not available here.

Share

COinS