Knowledge discovery and management for product design through text mining - A case study of online information integration for designers

Proceedings of ICED 2007, the 16th International Conference on Engineering Design

Volumn DS 42, Issue , 2007, Pages

  Liu, Ying ^a   Lu, Wen Feng ^b   Loh, Han Tong ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Knowledge discovery and management; Online information; Product design; Text classification; Text mining

Indexed keywords

AUTOMATED CLASSIFICATION; CONCEPT-BASED; CUSTOMER FEEDBACK; DESIGN COMMUNITY; DESIGN DOCUMENTS; DESIGN INFORMATION; EXPERIMENTAL STUDIES; KEY TECHNIQUES; KNOWLEDGE BASE; MARKET ANALYSIS; MODEL-BASED OPC; ON-LINE INFORMATION; PRODUCT ARCHITECTURE; PRODUCT DATA MANAGEMENT SYSTEMS; PRODUCT FUNCTIONS; PRODUCT INNOVATION; RELEVANT DOCUMENTS; REPORT GENERATION; SEMANTIC INFORMATION; SEQUENCE ALGORITHMS; TEXT CLASSIFICATION; TEXT MINING;

COMPETITION; COMPETITIVE INTELLIGENCE; CONCEPTUAL DESIGN; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEARCH ENGINES;

PRODUCT DESIGN;

EID: 84862592065     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (67)

1. Liu, Y., A Concept-based Text Classification System for Manufacturing Information Retrieval. Singapore MIT Alliance, 2005, (National University of Singapore)
2. Braha, D., ed. Data Mining for Design and Manufacturing: Methods and Applications, 2001 (Kluwer Academic Publishers
3. Liu, Y., Lu, W.F. and Loh, H.T., A Framework of Information and Knowledge Management for Product Design and Development - A Text Mining Approach. Proceedings of the 12th IFAC Symposium on Information Control Problems in Manufacturing, INCOM'06, 2006
4. Harding, J.A., Shahbaz, M., Srinivas and Kusiak, A., Data Mining in Manufacturing: A Review, Transactions of the American Society of Mechanical Engineers (ASME): Journal of Manufacturing Science and Engineering, 2006, 128, 969-976
5. Hearst, M.A., Untangling Text Data Mining. Proceedings of ACL'99, the 37th Annual Meeting of the Association for Computational Linguistics, invited paper, 1999
6. Dixon, M., An Overview of Document Mining Technology, 1997, (Computer Based Learning Unit, University of Leeds)
7. Merkl, D., Text Data Mining, In Dale, R., Moisl, H. and Somers, H., eds. A Handbook of Natural Language Processing - Techniques and Applications for the Processing of Language as Text, 1998, (Marcel Dekker)
8. Rajman, M. and BESANÇON, R., Text mining: natural language techniques and text mining applications. Proceedings of the seventh IFIP 2.6 Working Conference on Database Semantics (DS-7), 1998
9. Visa, A., Technology of Text Mining, In Petra Perner, ed. Proceedings of Machine Learning and Data Mining in Pattern Recognition, Second International Workshop, MLDM 2001, 2001, pp.111 (Springer)
10. Stewart, T.A., Intellectual Capital: The New Wealth of Organisations, 1997 (Doubleday)
11. Edvinsson, L. and Malone, M.S., Intellectual Capital: Realizing Your Company's True Value by Finding Its Hidden Brainpower, 1997 (Collins)
12. Drucker, P., The Age of Discontinuity: Guidelines to Our changing Society, 1969 (Harper and Row)
13. COURT, A.W., CULLEY, S.J. and MCMAHON, C.A., Information access diagrams: a technique for analysing the usage of design information, Journal of Engineering Design, 1996, 7, 55-75
14. MARSH, J.R., The capture and structure of design experience. Department of Engineering, 1997, (University of Cambridge)
15. BROOKES, N.J., SMART, P. and LETTICE, F., The importance of informal networks to effective design management. Design Management, Process and Information Issues, Proceedings of the International Conference of Engineering Design 2001, pp.433-440 (Professional Engineering Publishings)
16. BADKE-SCHAUB, P. and FRANKENBERGER, E., Analysis of design projects, Design Studies, 1999, 20, 465-480
17. BADKE-SCHAUB, P. and FRANKENBERGER, E., Design representations in critical situations of product development. Proceedings of the 4th Design Thinking, Design Representation Symposium, 1999
18. CHAN, W.K. and MAUBORGNE, R., Fair process: managing in the knowledge economy, Harvard Business Review, 2003, 127-136
19. ELLIS, C.A., GIBBS, S.J. and REIN, G.L., Groupware: some issues and experiences, Communications of the ACM, 1991, 34, 39-58
20. GOMES, S., EYNARD, B. and MAGNON, L., A multi-site design experience using a computer supported collaborative work tool. Proceedings of the International Conference on Engineering Design, ICED01, 2001, pp.379-386 (Professional Engineering Publishing)
21. MCGREGOR, S., THOMSON, A.I. and JUSTER, N.P., Information sharing within a distributed, collaborative design process: a case study. Proceedings of the ASME Design Engineering Technical Conferences, 2001, (American Society of Mechanical Engineers)
22. LIU, T.D. and XU, W.X., A review of web-based product data management systems, Computers in Industry, 2001, 44, 251-262
23. Lowe, A., McMahon, C. and Culley, S., Characterising the requirements of engineering information systems, International Journal of Information Management, 2004, 24(5), 401-422
24. LOWE, A., MCMAHON, C.A., SHAH, T. and CULLEY, S.J., A method for the study of information use profiles for design engineers. Proceedings of the ASME Design Engineering Technical Conference & Computers and Information in Engineering Conference, 1999, pp.DTM-8753 (American Society of Mechanical Engineers)
25. HAAS, R.E., Engineering knowledge management-current status and future challenges. Proceedings of the 6th International Conference on Concurrent Enterprising, 2000, pp.161-164
26. Mcmahon, C., Lowe, A. and Culley, S., Knowledge management in engineering design, personalisation and codification, Journal of Engineering Design, 2004, 15(4), 307-325
27. Zahay, D.L., Griffin, A. and Fredericks, E., Exploring Information Use in Detail in the New Product Development Process. Proceedings of PDMA research forum, 2003, pp.55-72
28. Ahonen-Myka, H., Finding All Frequent Maximal Sequences in Text. Proceedings of the 16th International Conference on Machine Learning ICML-99 Workshop on Machine Learning in Text Data Analysis, 1999, pp.11-17
29. Yap, I., Loh, H.T., Shen, L. and Liu, Y., Topic Detection Using MFSs. Proceedings of the 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA\AIE 2006), 2006
30. Ahonen-Myka, H., Heinonen, O., Klemettinen, M. and Verkamo, A.I., Finding Co-occurring Text Phrases by Combining Sequence and Frequent Set Discovery. Proceedings of 16th International Joint Conference on Artificial Intelligence IJCAI-99 Workshop on Text Mining: Foundations, Techniques and Applications, 1999
31. Agrawal, R., Imieliński, T. and Swami, A., Mining association rules between sets of items in large databases. Proceedings of the 1993 ACM SIGMOD international conference on Management of data, 1993, pp.207-216
32. Agrawal, R. and Srikant, R., Fast Algorithms for Mining Association Rules, In Bocca, J.B., Jarke, M. and Zaniolo, C., eds. Proceedings of the 20th Very Large Data Bases (VLDB) Conference, 1994, pp.487-499 (Morgan Kaufmann)
33. Agrawal, R. and Srikant, R., Mining Sequential Patterns. Proceedings of the Eleventh International Conference on Data Engineering, 1995, pp.3-14
34. Manning, C.D. and Schütze, H., Foundations of Statistical Natural Language Processing, 1999 (The MIT Press)
35. Sebastiani, F., Machine Learning in Automated Text Categorization, ACM Computing Surveys (CSUR), 2002, 34(1), 1-47
36. Jurafsky, D. and Martin, J.H., Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition, 2000 (Prentice Hall)
37. Salton, G. and Buckley, C., Term Weighting Approaches in Automatic Text Retrieval, Information Processing and Management, 1988, 24(5), 513-523
38. Salton, G. and McGill, M.J., Introduction to Modern Information Retrieval, 1983 (McGraw-Hill)
39. Baeza-Yates, R. and Ribeiro-Neto, B., Modern information retrieval, 1999 (Addison-Wesley Longman Publishing Co., Inc.)
40. van Rijsbergen, C.J., Information Retrieval, 1979 (Butterworths)
41. Robertson, S.E., The Probability Ranking Principle in IR, Journal of documentation, 1977, 33(4), 294-304
42. Fuhr, N., A Probabilistic Model of Dictionary Based Automatic Indexing. Proceedings of the riao 85 (Recherche d' Informations Assistee par Ordinateur), 1985, pp.207-216
43. Turtle, H. and Croft, W.B., Inference networks for document retrieval. Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval, 1989, pp.1-24
44. Charniak, E., Statistical Language Learning, 1993 (MIT Press)
45. Miller, D.R.H., Leek, T. and Schwartz, R.M., A Hidden Markov Model Information Retrieval System. Proceedings of SIGIR-99, 22nd ACM International Conference on Research and Development in Information Retrieval, 1999, pp.214-221
46. Ponte, J.M. and Croft, W.B., A Language Modeling Approach to Information Retrieval. Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998, pp.275-281
47. Hiemstra, D., A Linguistically Motivated Probabilistic Model of Information Retrieval. Research and Advanced Technology for Digital Libraries, Second European Conference, ECDL '98, 1998, pp.569-584
48. Zue, V.W., Navigating the Information Superhighway Using Spoken Language Interfaces, IEEE Expert: Intelligent Systems and Their Applications, 1995, 10(5), 39-43
49. Jain, A.K., Murty, M.N. and Flynn, P.J., Data clustering: a review, ACM Computing Surveys (CSUR), 1999, 31(3), 264-323
50. Liu, Y., Loh, H.T. and Lu, W.F., Deriving Taxonomy from Documents at Sentence Level, In Prado, H.A.d. and Ferneda, E., eds. Emerging Technologies of Text Mining: Techniques and Applications, 2007, (Idea Group Inc.)
51. Mitchell, T.M., Machine Learning, 1997 (The McGraw-Hill Companies, Inc.)
52. Joachims, T., Text categorization with Support Vector Machines: Learning with many relevant features. Machine Learning: ECML-98, Tenth European Conference on Machine Learning, 1998, pp.137-142 (Springer)
53. Vapnik, V.N., The Nature of Statistical Learning Theory, 1999 (Springer-Verlag)
54. Yang, Y. and Liu, X., A re-examination of text categorization methods. Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, 1999, pp.42-49 (ACM Press New York, NY, USA)
55. Apté, C., Damerau, F. and Weiss, S.M., Text Mining with Decision Trees and Decision Rules. Conference on Automated Learning and Discovery, 1998
56. Quinlan, J.R., C4.5: Programs for Machine Learning, 1993 (Morgan Kaufmann)
57. Friedman, N., Geiger, D. and Goldszmidt, M., Bayesian network classifiers, Machine Learning, 1997, 29(2-3), 131-163
58. Lewis, D.D., An evaluation of phrasal and clustered representations on a text categorization task. Proceedings of SIGIR-92, 15th ACMInternational Conference on Research and Development in Information Retrieval, 1992, pp.37-50
59. Dumais, S., Platt, J., Heckerman, D. and Sahami, M., Inductive learning algorithms and representations for text categorization. Proceedings of the seventh international conference on Information and knowledge management, 1998, pp.148-155 (ACM Press New York, NY, USA)
60. Sahlgren, M. and Cöster, R., Using Bag-of-Concepts to Improve the Performance of Support Vector Machines in Text Categorization. Proceedings of the 20th International Conference on Computational Linguistics (COLING 2004), 2004
61. Cai, L. and Hofmann, T., Text categorization by boosting automatically extracted concepts. Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, 2003, pp.182-189 (ACM Press, New York, NY, USA)
62. Baker, L.D. and McCallum, A.K., Distributional clustering of words for text classification. Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, 1998, pp.96-103 (ACM Press, New York, NY, USA)
63. Lewis, D.D., Representation and learning in information retrieval. Computer Science, 1992, (University of Massachusetts Amherst, USA)
64. Loh, S., Wives, L.K. and Oliveira, J.P.M.d., Concept-based knowledge discovery in texts extracted from the Web, ACM SIGKDD Explorations Newsletter, 2000, 2(1), 29-39
65. Liu, Y., Loh, H.T. and Tor, S.B., Building a Document Corpus for Manufacturing Knowledge Retrieval. Proceedings of the Singapore MIT Alliance Symposium, 2004
66. Dumais, S. and Chen, H., Hierarchical classification of Web content. Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR2000), 2000, pp.256 - 263
67. Yang, Y., An evaluation of statistical approaches to text categorization, Information Retrieval, 1999, 1(1-2), 69-90