This Article 
 Bibliographic References 
 Add to: 
Knowledge Reuse Enhancement with Motional Visual Representation
October 2008 (vol. 20 no. 10)
pp. 1424-1439
Jiang-Liang Hou, National Tsing Hua University, Hsinchu
Alice W.-J. Tsai, National Tsing Hua University, Hsinchu
The growing complexity of information and documents has made it difficult for knowledge receivers to understand digital contents, therefore, multiple knowledge representation schemes are required for enterprise knowledge services. Traditional schemes for explicit knowledge representation within enterprise and academic circles are primarily text-oriented and thus, a great deal of time and effort are required for knowledge receivers to understand the contents, especially for motion knowledge. In order to enhance knowledge reuse with motion knowledge extraction, representation, and visualization, this research focuses on the development of a motion knowledge representation and visualization (MKRV) model for Chinese documents with three modules, namely the automatic thesaurus definition (ATD) module, the target sentence extraction and formatting (TSEF) module, and the motion knowledge visualization (MKV) module. Moreover, based on the proposed model, a Motion Knowledge Representation and Management System (MKRMS) is established. A real world case of computer assembly is also applied in order to verify the feasibility of the proposed model. The verification results show that the system could achieve a high performance level with a small amount of training data.

[1] P.O. Bobbie and J.E. Urban, “A Method for Integrating Heterogeneous Knowledge-Bases,” Proc. First Int'l Workshop Interoperability in Multidatabase Systems (IMS '91), pp. 40-45, 1991.
[2] M. Boughanem, R. Layaida, and A. Caron, “A Neural Network Model for Documentary Base Self-Organising and Querying,” Proc. Fifth Int'l Conf. Computing and Information (ICCI '93), pp. 512-518, 1993.
[3] M.E. Brown and J.J. Gallimore, “Visualization of Three-Dimensional Structure During Computer-Aided Design,” Int'l J. Human-Computer Interaction, vol. 7, pp. 37-56, 1995.
[4] R. Burkhard, M. Meier, M. Smis, J. Allemang, and L. Honisch, “Beyond Excel and Powerpoint: Knowledge Maps for the Transfer and Creation of Knowledge in Organizations,” Proc. Ninth Int'l Conf. Information Visualization (IV '05), pp. 76-81, 2005.
[5] D. Burmeister, “Requirements of Deaf User of Information Visualization an Interdisciplinary Approach,” Proc. Seventh Int'l Conf. Information Visualization (IV '03), pp. 433-438, 2003.
[6] S. Card and J. Mackinlay, The Structure of the Information Visualization Design Space, pp. 92-101. IEEE CS Press, 1997.
[7] A. Chen, J. He, L. Xu, F.C. Gey, and J. Meggs, “Chinese Text Retrieval without Using a Dictionary,” Proc. 20th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '97), vol. 31, pp. 42-49, 1997.
[8] J. Cowie and W. Lehnert, “Information Extraction,” Comm. ACM, vol. 39, pp. 80-91, 1996.
[9] J.J. Gallimore and M.E. Brown, “Visualization of 3-D Computer-Aided Design Objects,” Int'l J. Human-Computer Interaction, vol. 5, pp. 361-382, 1993.
[10] N. Gershon, S.G. Eick, and S. Card, “Information Visualization,” ACM Interactions, vol. 5, pp. 9-15, 1998.
[11] X. Ge, W. Pratt, and P. Smyth, “Discovering Chinese Words from Unsegmented Text,” Proc. 22nd Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '99), vol. 2, pp. 271-272, 1999.
[12] J.-L. Hou, H.-C. Chuo, and M.-T. Sun, “Heuristic and Integrated Approach for Technical Document Authority and Authentication Sequence Determination,” Int'l J. Production Research, vol. 42, no. 9, pp. 1747-1768, 2003.
[13] J.-L. Hou and F.-H. Lin, “A Document and User Matching Model via Document Keyword Analysis,” J. Computer Information Systems, vol. 44, no. 4, pp. 1-15, 2004.
[14] J.-L. Hou and F.-H. Lin, “A Hierarchical Classification Mechanism for Organization Document Management,” Int'l J. Advanced Manufacturing Technology, vol. 28, no. 3-4, pp. 417-427, 2006.
[15] J.-L. Hou, M.-T. Sun, and H.-C. Chuo, “An Intelligent Knowledge Management Model for Construction and Reuse of Automobile Manufacturing Intellectual Properties,” Int'l J. Advanced Manufacturing Technology, vol. 26, nos. 1-2, pp. 169-182, 2005.
[16] J.-L. Hou and S.-T. Yang, “A Mobile Knowledge Carrier with Personalized Knowledge Provision,” Computers & Industrial Eng., vol. 51, pp. 44-57, 2005.
[17] J.L. Hou, F.J. Yu, and R.K. Lin, “A Knowledge Component Analysis Model Based on Term Frequency and Correlation Analysis,” J. Computer Information Systems, vol. 46, no. 4, pp. 64-77, 2006.
[18] B. Ibrahim, “Visual Navigation: Methods and Tools,” J. Visual Languages and Computing, vol. 9, pp. 263-265, 1998.
[19] E. Lim and T. Honjo, “Three-Dimensional Visualization Forest of Landscapes by VRML,” Landscape and Urban Planning, vol. 63, pp.175-186, 2003.
[20] G. Manco, C. Pizzuti, and D. Talia, “Eureka!: An Interactive and Visual Knowledge Discovery Tool,” J. Visual Languages and Computing, vol. 15, pp. 1-35, 2004.
[21] M. Nagao, “Natural Language Processing and Knowledge,” Proc. IEEE Int'l Conf. Natural Language Processing and Knowledge Eng. (NLP-KE '05), p. 1, 2005.
[22] J. Nie and F. Ren, “Chinese Information Retrieval: Using Characters or Words,” Information Processing & Management, vol. 35, pp. 443-462, 1999.
[23] C.J. Pan, “LIEF: An Algorithm for Learning Information Extraction Rules from Unstructured Documents,” master paper, Dept. of Information Management, Nat'l Sun Yat-Sen Univ., 2003.
[24] Y.C. Park and C. Key-Sun, “Automatic Thesaurus Construction Using Bayesian Networks,” Information Processing & Management, vol. 32, no. 5, pp. 543-553, 1996.
[25] F. Peng, “Models Development in IE Tasks: A Survey,” CS685 (Intelligent Computer Interface) course project, Dept. of Computer Science, Univ. of Waterloo, 1999.
[26] D.R. Proffitt and M.K. Kaiser, “Perceiving Environmental Properties from Motion Information: Minimal Conditions,” Pictorial Comm. in Virtual and Real Environments, vol. 4, pp. 47-60, 1991.
[27] E. Riloff and W. Lehnert, “Information Extraction as a Basis for High-Precision Text Classification,” ACM Trans. Information Systems, vol. 12, no. 3, pp. 296-333, 1994.
[28] R.N. Shepard and J. Metzler, “Mental Rotation of Three-Dimensional Objects,” Science, vol. 171, pp. 701-703, 1971.
[29] R.L. Sollenberger and P. Milgram, “Effects of Stereoscopic and Rotational Displays in Three-Dimensional Path-Tracing Task,” Human Factors, vol. 35, pp. 483-499, 1993.
[30] T. Strzalkowski, “Natural Language Information Retrieval,” Information Processing & Management, vol. 31, pp. 397-417, 1995.
[31] I. Syu, S.D. Lang, and N. Deo, “A Neural Network Model for Information Retrieval Using Latent Semantic Indexing,” Proc. IEEE Int'l Conf. Neural Networks (ICNN '96), vol. 2, pp. 1318-1323, 1996.
[32] S.-O. Tergan and T. Keller, “Digital Concept Mapping in Learning Contexts: Integrating Knowledge, Arguments and Information Resources,” Proc. Ninth Int'l Conf. Information Visualization (IV '05), pp. 371-376, 2005.
[33] C. Ware and G. Franck, “Evaluating Stereo and Motion Cues for Visualizing Information Nets in Three Dimensions,” ACM Trans. Graphics, vol. 15, pp. 121-140, 1996.
[34] N. Xue, “Chinese Word Segmentation as Character Tagging,” Computational Linguistics and Wilks Chinese Language Processing, vol. 8, pp. 29-48, 2003.
[35] J. Zhang, “TOFIR: A Tool of Facilitating Information Retrieval—Introduce a Visual Retrieval Model,” Information Processing & Management, vol. 37, pp. 639-657, 2001.
[36] M. Zeiller, “A Case Study Based Approach to Knowledge Visualization,” Proc. Ninth Int'l Conf. Information Visualization (IV '05), pp. 377-382, 2005.

Index Terms:
Data and knowledge visualization, Knowledge management applications
Jiang-Liang Hou, Alice W.-J. Tsai, "Knowledge Reuse Enhancement with Motional Visual Representation," IEEE Transactions on Knowledge and Data Engineering, vol. 20, no. 10, pp. 1424-1439, Oct. 2008, doi:10.1109/TKDE.2008.75
Usage of this product signifies your acceptance of the Terms of Use.