Abstract
In this paper, a method to extract knowledge from a set of surveyor's reports is proposed. Many surveyors from shipping companies are working in shipyards to improve the quality and meet requirements of the ship owner. At present, the reports from surveyors are used only for managing the status of problems of the product. The proposed method here has three steps. First, the description field of the reports which contain information about some trouble is summarized in a pair of component name and trouble name in the failure database; this is made possible thanks to the text-processing technology. Second, synonimous component and trouble names are consolidated into normalized terms using synonym ontology to prepare for statistical analysis. The synonym ontology is developed prior to this procedure. The system evaluates frequent trouble records by classifying the records using component and process ontology. In the last step, the designers extract knowledge from the information generated by the system. The results illustrate common design problems and the method is proven to be useful.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
TRAPPEY, A., TRAPPEY, C. and C. WU. “A Semantic Based Approach for Automatic Patent Document Summarization.” Proceedings of the 15th ISPE International Conference on Concurrent Engineering, (2008): 485-494.
NASUKAWA, T. and T. NAGANO. “Text analysis and knowledge mining system.” IBM Systems Journal, 40: 4 (2001).
POPESCU, A. and O. ETZIONI. “Extracting Product Features and Opinions from Reviews.” Proceedings of Joint Conference on Human Language Technology (HLT) and Conference on Empirical Methods in Natural Language Proceeding (EMNLP), (2005).
HU, M. and B. LIU. “Mining opinion features in customer reviews.” Proceedings of the 19th National Conference on Artificial Intelligence (AAAI). (2004): 755-760.
KUDO, T and Y. MATSUMOTO. “Japanese Dependency Structure Analysis based on Support Vector Machines.” In Proceedings of the EMNLP/VLC-2000. (2000): 18– 25.
KUDO, T. and Y. MATSUMOTO. “Japanese dependency analysis using cascaded chunking.” In Proceedings of the CoNLL-2002. (2002): 63–69.
BRITMAN, K. K. et al. Ontology as a Requirements Engineering Product, In 11th IEEE International Requirements Engineering Conference (RE’03), pp. 309–, Monterey Bay, California, USA, Sep. 2003. Mini-Tutorial.
FOX, M., BARBUCEANU, M. and M. GRUNINGER. “An organisation ontology for enterprise modeling: Preliminary concepts for linking structure and behaviour.” Computers in Industry, 29:1(1996):123-134
KITAMURA, Y., MIZOGUCHI, R. “Ontology-based description of functional design knowledge and its use in a functional way server. “ Expert Systems with Application, 24:2, (2003): 153-166.
GRUBER, T. R. “A Translation Approach to Portable Ontology Specifications.” Knowledge Acquisition, 5:2 (1993):199-220.
NOY, N.F., SINTEK, M., DECKER, S., CRUBEZY, M., FERGERSON, R.W. and M. MUSEN. “Creating Semantic Web contents with Protege-2000. “ IEEE, Intelligent System, 16, No.12, pp.66-71, (2001)
RECTOR, A., DRUMMOND, N., et al. “Modularisation of domain ontologies implemented in description logics and related formalisms including owl. “ Knowledge Computer, ACM, pp.121-128, 2003
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer London
About this paper
Cite this paper
Hiekata, K., Yamato, H., Tsujimoto, S. (2009). Knowledge Extraction System from Reports in Fabrication Workshops. In: Chou, SY., Trappey, A., Pokojski, J., Smith, S. (eds) Global Perspective for Competitive Enterprise, Economy and Ecology. Advanced Concurrent Engineering. Springer, London. https://doi.org/10.1007/978-1-84882-762-2_29
Download citation
DOI: https://doi.org/10.1007/978-1-84882-762-2_29
Publisher Name: Springer, London
Print ISBN: 978-1-84882-761-5
Online ISBN: 978-1-84882-762-2
eBook Packages: EngineeringEngineering (R0)