Share Email Print
cover

Proceedings Paper

A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps
Author(s): Jin Xu; Zheng Li; Shuliang Li; Yanyan Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.

Paper Details

Date Published: 6 July 2015
PDF: 6 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311P (6 July 2015); doi: 10.1117/12.2196528
Show Author Affiliations
Jin Xu, Southwest Jiaotong Univ. (China)
Zheng Li, Southwest Jiaotong Univ. (China)
Shuliang Li, Univ. of Westminster (United Kingdom)
Southwest Jiaotong Univ. (China)
Yanyan Zhang, Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top