Text, image and vector graphics based appraisal of contemporary documents

초록

We have designed a framework for content based appraisal of documents. Our motivation is to provide computer assisted support for answering several appraisal criteria according to the general appraisal guidelines in the National Archives and Record Administration (NARA) 1441 directive. The appraisal criteria led us to investigations related to (a) finding groups of PDF documents with similar content, (b) ranking documents according to their creation/modification time and digital volume, and (c) detecting inconsistency between ranking and content within a group of related documents. The novelty of our work is in designing a methodology and a mathematical framework for document appraisals, and prototyping the framework working with text, image and vector graphics components of PDF documents. We present example results of grouping, ranking and integrity verification for groups of scientific documents about medical topics. ? 2008 IEEE.

제목
Text, image and vector graphics based appraisal of contemporary documents
저자
Lee, Sang-Chul
학회명
Proceedings -International Conference on Machine Learning and Applications, 2008
개최지
San Diego
학회 개최일
2008-12-11 ~ 2008-12-13