A document classification and retrieval system for R&D in semiconductor industry - A hybrid approach

Authors:
Shui-Shun Lin
Affiliations:
Department of Business Administration, National Chin-Yi University of Technology, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 16
Cited 1

Another stemmer

ACM SIGIR Forum
Effects of OCR errors on ranking and feedback using the vector space model

Information Processing and Management: an International Journal
Understanding search engines: mathematical modeling and text retrieval

Understanding search engines: mathematical modeling and text retrieval
Applying genetic algorithms to query optimization in document retrieval

Information Processing and Management: an International Journal
Developing a new similarity measure from two different perspectives

Information Processing and Management: an International Journal
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
An information retrieval model based on vector space method by supervised learning

Information Processing and Management: an International Journal
A document-process association model for workflow management

Computers in Industry
Process Oriented Knowledge Management

Eleventh International Workshop on Research Issues in Data Engineering on Document Management for Data Intensive Business and Scientific Applications
Document Categorization and Retrieval Using Semantic Microfeatures and Growing Cell Structures

DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Temporal document retrieval model for business news archives

Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Combining preference- and content-based approaches for improving document clustering effectiveness

Information Processing and Management: an International Journal
Hierarchical document categorization with k-NN and concept-based thesauri

Information Processing and Management: an International Journal
Hierarchically SVM classification based on support vector clustering method and its application to document categorization

Expert Systems with Applications: An International Journal
Fuzzy support vector machine for multi-class text categorization

Information Processing and Management: an International Journal
An intelligent information agent for document title classification and filtering in document-intensive domains

Decision Support Systems

A fuzzy ranking approach for improving search results in Turkish as an agglutinative language

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

In this paper, a hybrid methodology with a vector space model (VSM) and process-oriented attributes for document management is proposed. The VSM is fine-tuned for classifying documents generated during R&D processes. The document correlation values are computed with the VSM for efficient retrieval. Only documents with high correlation values are presented to meet the specific retrieval purpose, which results in efficient and effective document retrieval. We further design a document classification and retrieval prototype system. The prototype is implemented to facilitate R&D document management in semiconductor industries.