The study of the standardization and classification on the icon of the Graphic User Interface
蔡國寶、楊豐兆
E-mail: 321439@mail.dyu.edu.tw
ABSTRACT
Computer-human technological products widely used, it can save a lot of time human beings. Current computer-oriented design concept is based on visual design, this design concept for the visually impaired and the elderly and the visually impaired use of the distress caused. Together with computer graphics, there is no certain standard items, in order to solve these problems, this pages studies the classification and development of computer graphics criteria. Once the standards, will solve these problems, but it saves software development time. In this study, the software sub-ontological way to approach a few like structure extending from the top to bottom in addition to the re-search and development of programming solutions to the visually impaired, assistive devices can not read without comment button caused.
Keywords : icon、ontology、icon standard
Table of Contents
中文摘要 ．．．．．．．．．．．．．．．．．．．．．iii 英文摘要 ．．．．．．．．．．．．．．．．．．．．
．iv 誌謝辭 ．．．．．．．．．．．．．．．．．．．．．v 內容目錄 ．．．．．．．．．．．．．．．．．．．
．．vi 表目錄 ．．．．．．．．．．．．．．．．．．．．．viii 圖目錄 ．．．．．．．．．．．．．．．．．
．．．．ix 第一章 序論．．．．．．．．．．．．．．．．．．．1 第一節 研究背景．．．．．．．．．．
．．．．．1 第二節 研究動機．．．．．．．．．．．．．．．2 第三節 研究目的．．．．．．．．．
．．．．．．2 第四節 研究流程．．．．．．．．．．．．．．．3 第二章 相關文獻探討．．．．．．．．
．．．．．．．5 第一節 本體論簡介．．．．．．．．．．．．．．5 第二節 icon．．．．．．．．．．
．．．．．．．11 第三節 國內外盲用軟體之介紹．．．．．．．．．22 第三章 研究架構．．．．．．．．
．．．．．．．．．24 第一節 研究方法．．．．．．．．．．．．．．．24 第二節 研究假設．．．．
．．．．．．．．．．．30 第四章 本體論工程．．．．．．．．．．．．．．．．32 第一節 知識本體設計
．．．．．．．．．．．．．32 第二節 知識本體與icon分析 ．．．．．．．．．32 第三節 知識本體工 程建置．．．．．．．．．．．33 第五章 圖像標準．．．．．．．．．．．．．．．．．41 第一節 簡介．
．．．．．．．．．．．．．．．．41 第二節 設計準則．．．．．．．．．．．．．．．41 第六章 結論．
．．．．．．．．．．．．．．．．．．44 參考文獻 ．．．．．．．．．．．．．．．．．．．．．45 附錄A 本體論 分類圖 ．．．．．．．．．．．．．．．．50 附錄B 範例程式/設計準則 ．．．．．．．．．．．．．61
REFERENCES
參考文獻 一、中文部份 王小川(1997)，視障者電腦輔具技術及其應用系統之研發，發表於身心障礙者就學、就業之科技支援研討會，台 北。 李錫堅(1997)，輔助視障之相關研究技術─中文文件閱讀系統， 發表於身心障礙者就學、就業之科技支援研討會，台北。 張益 華(2004)，基於知識本體的語意檢索系統之研究─以學校公文及法規為例，大葉大學資訊管理學系未出版之碩士論文。 張國瑞(2002)，視 障使用者介面之研究，淡江大學資訊工程學系未出版之碩士論文。 葉豐輝(1997)，視障者電腦輔具技術及其應用系統之現況和展望，發 表於身心障礙者就學、就業之科技支援研討會，台北。 Prosise, J. (2004)，Windows程式設計:使用MFC，台北:文魁資訊股份有限公司。
。 二、英文部份 Afsarmanesh, H., Camarinha-Matos, L. M., & Msanjila, S. S. (2009). On management of 2nd generation virtual organizations breeding environments. Science of Computer Programming 33(2), 209-219. Chi, Y. L. (2007). Elicitation synergy of extracting conceptual tags and hierarchies in textual document. Expert Systems with Applications, 32(2), 349-357. Chinese Braille Code Self-Study Manual. (1997). National Central Library Taiwan Branch, R.O.C. Cranefield, S., & Pan, J. (2007). Bridging the gap between the model-driven architecture and ontology engineering. International Journal of Human-Computer Studies, 6(5), 595-609. Fliedl, G., Kop C., & Vohringer J. (2010). Guideline based evaluation and verbalization of OWL class and property labels. Data & Knowledge Engineering, 69 (4), 331-342. Isaac, L., Sancho, P. P., Juiz, C., Puigjaner, R., Zottl, J., & Haring, G. (2007). Performance assessment of intelligent distributed systems through software performance ontology engineering (SPOE). Software Quality Journal, 15(1), 53-67. Isaac, L., Juiz, C., & Puigjaner, R. (2006). Performance-related ontologies and semantic web applications for on-line performance assessment of intelligent systems. Science of Computer Programming, 61(1), 27-37. Jiang, M.,
Zhu, X., Xia, Y., Tan, G., Yuan, B., & Tang, X. (2000). Segmentation of mandarin braille word and braille translation based on multi-knowledge.
Journal of Rehabilitation Research and Development, 31(4), 270-278. Jiang, M., Zhu, X., Gielen, G., Drabek, E., Xia, Y., Tan, G., & Bao, T.
(2002). Braille to print translations for Chinese. Information and Software Technology, 44(2), 91-100. Kalyanpur, A., Parsia, B., Sirin, E., Grau, B.
C., & Hendler, J. (2006). Swoop: A web ontology editing browser. Web Semantics: Science, Services and Agents on the World Wide Web, 2(4), 144-153. Lefort, L., Taylor, K., & Ratcliffe, D. (2006). Towards Scalable Ontology Engineering Patterns: Lessons Learned from an Experiment based on W3C’s Part-whole Guidelines. Paper presented at the Conference in Research and Practice in Information Technology, Hobart, Australia. Lee, Sangun, Park, Jae, & Kyu. (2007). Rule identification using ontology while acquiring rules from web pages. International Journal of Human-Computer Studies, 65(7), 659-673. Mark?, K. G., & Hahn, U. (2002). An integrated, dual learner for grammars and ontologies. Data &
Knowledge Engineering, 42(3), 273-291. Mennens, J., Tichelen, L., Francois, G., & Engelen, J. J. (1994). Optical recognition of braille writing using standard equipment. IEEE Transactions On Rehabilitation Engineering, 2(4), 207-212. Ohgren, A., & Blomqvist, E. (2008). Constructing an enterprise ontology for an automotive supplier. Engineering Application of Artificial Intelligence, 21(3), 386-397. Peralta, D. N., & Pinto, H. S.
(2003). Combining Ontology Engineering Subprocesses to Build a Time Ontology. New York: Sanibel Island, 88-95. Pretorius, A. J. (2005). Visual analysis for ontology engineering. Journal of Visual Languages & Computing, 16(4), 359-381. Richards, D. (2009). A social software/Web 2.0 approach to collaborative knowledge engineering. Information sciences, 179(15), 2515-2523. Schulz, S., & Hahn, U. (2002). Massive Bio-Ontology Engineering for NLP. Human Language Technology Conference. San Francisco: Morgan Kaufmann Publishers Inc., 68-75. Seipel, D., &
Baumeister, J. (2010). Anomalies in ontologies with rules. Web Semantics: Science, Services and Agents on the World Wide Web, 8(1), 55-68.
Simperl, E. (2009). Reusing ontologies on the semantic web: A feasibility study. Data & Knowledge Engineering, 68(10), 905-925. Spyns, P., Meersman, R., & Jarrar, M. (2002). Data modelling versus ontology engineering. ACM SIGMOD Record, 31(4), 12-17. Tempich, C., Simperl, E., Luczak, Studer, R., & Pinto, H. S. (2007). Argumentation-based ontology engineering. IEEE Intelligent Systems, 22(6), 52-59. Vouros, A., Kotis, &
Konstantinos. (2006). Human-centered ontology engineering: The HCOME methodology. Knowledge and Information Systems, 10(1), 109-131.
Wilkinson, M. D., & Good, B. M. (2007). Ontology Engineering Using Volunteer Labor. International World Wide Web Conference. New York:
Banff, Alberta, Canada, 1243-1244. Yoshioka, M., Umeda, Y., Takeda, H., Shimomura, Y., Nomaguchi, Y., & Tomiyama, T. (2004). Physical concept ontology for the knowledge intensive engineering framework. Advanced Engineering Informatics, 18(2), 95-113.
