中文文獻
林忠亮 & 王明妤 (2013),基於科學與技術缺口發掘技術機會: 以生質丁醇為例. 科技管理學刊, 18(4), 29-59。曹雨(2016)。虛擬實境狂潮:從購物、教育到醫療,VR/AR商機即將顛覆未來的 十大產業!,初版。臺北市:商周出版:家庭傳媒城邦分公司發行
徐育群(2017)。2017美國CES展會觀察-VR產品。資訊工業策進會。
才華有限實驗室(2016)。VR來了!第一本虛擬實境專書:VR發展史、當紅產品 介紹、未來應用解析,第一版。臺北市:寫樂文化。
拓墣產業研究院(2016)。VR廠商的發展策略與未來布局。拓墣產業研究院。2017 年5月23日。取自 http://www.topology.com.tw/DataContent/scan/
數位時代(2016) 。VR 市場有什麼機會?Google 總部產品經理揭示 VR 生態系 及發展策略。數位時代。2017年5月15日。取自 https://www.bnext.com.tw/ext_rss/view/id/1386773
林志勇等(2006)編著。認識虛擬實境,初版。臺北市:全華。
王寒等(2016)編著。虚拟现实:引领未来的人机交互革命,第1版。北京:機械 工業出版社。
新清士、林佑純 & 劉亭言(2017)譯。VR大衝擊:虛擬實境即將攻占社交、影音、 遊戲、電商……你如何贏在先機?。臺北市;[新北市樹林區]:商業周刊出 版:高見文化總經銷。
艾瑞咨询(2016)。2015年中国VR/AR市场研究报告。2017年3月5日。取自 http://www.imxdata.com/archives/950
科技政策與資訊中心-科技產業資訊室(iKnow)整理(2016)。六大VR廠商聯盟加速 虛擬實境應用市場。2017年5月23日,取自 http://iknow.stpi.narl.org.tw/Post/Read.aspx?PostID=13025
英文文獻
Chi, H., Kalaimannan, E., & Hubbard, D. (2016). Integrate Text Mining into Computer and Information Security Education.
Daim, T. U., Shibata, N., Kajikawa, Y., & Sakata, I. (2011). Detecting potential technological fronts by comparing scientific papers and patents. Foresight, 13(5), 51-60.
de Miranda Santo, M., Coelho, G. M., dos Santos, D. M., & Fellows Filho, L. (2006). Text mining as a valuable tool in foresight exercises: A study on nanotechnology. Technological Forecasting and Social Change, 73(8), 1013-1027.
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American society for information science, 41(6), 391.
Emura, S., & Tachi, S. (1994). Compensation of time lag between actual and virtual spaces by multi-sensor integration. Paper presented at the Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI'94.
Feldman, R., & Dagan, I. (1995). Knowledge Discovery in Textual Databases (KDT). Paper presented at the KDD.
Feldman, R., & Sanger, J. (2007). The text mining handbook: advanced approaches in analyzing unstructured data: Cambridge university press.
Foley, J. D., & Van Dam, A. (1982). Fundamentals of interactive computer graphics (Vol. 2): Addison-Wesley Reading, MA.
Foster, I., & Kesselman, C. (2003). What is the Grid. A three point checklist, 20.
Guo, J., Wang, X., Li, Q., & Zhu, D. (2016). Subject–action–object-based morphology analysis for determining the direction of technological change. Technological Forecasting and Social Change, 105, 27-40.
Hofmann, T. (1999). Probabilistic latent semantic indexing. Paper presented at the Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval.
Huang, Y., Zhang, Y., Ma, J., Porter, A. L., Wang, X., & Guo, Y. (2016). Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis Anticipating Future Innovation Pathways Through Large Data Analysis (pp. 153-172): Springer.
Kim, C., Choe, S., Choi, C., & Park, Y. (2008). A systematic approach to new mobile service creation. Expert Systems with Applications, 35(3), 762-771.
Lee, C., Kang, B., & Shin, J. (2015). Novelty-focused patent mapping for technology opportunity analysis. Technological Forecasting and Social Change, 90, 355-365.
Lee, C., Park, H., & Park, Y. (2013). Keeping abreast of technology-driven business model evolution: A dynamic patent analysis approach. Technology Analysis & Strategic Management, 25(5), 487-505.
Lee, H. P., Hong, D.-P., Han, E., Kim, S. H., & Yun, I. (2016). Analysis of the characteristics of expressway traffic information propagation using Twitter. KSCE Journal of Civil Engineering, 20(7), 2587-2597.
Lee, S., Yoon, B., & Park, Y. (2009). An approach to discovering new technology opportunities: Keyword-based patent map approach. Technovation, 29(6), 481-497.
Liang, H., Wang, J.-J., Xue, Y., & Cui, X. (2016). IT outsourcing research from 1992 to 2013: A literature review based on main path analysis. Information & Management, 53(2), 227-251.
Lowe, M., King, A., Lovett, E., & Papakostas, T. (2004). Flexible tactile sensor technology: bringing haptics to life. Sensor review, 24(1), 33-36.
Luck, M., & Aylett, R. (2000). Applying artificial intelligence to virtual reality: Intelligent virtual environments. Applied Artificial Intelligence, 14(1), 3-32.
Ma, T., Porter, A. L., Guo, Y., Ready, J., Xu, C., & Gao, L. (2013). A technology opportunities analysis model: applied to dye-sensitised solar cells for China. Technology Analysis & Strategic Management, 26(1), 87-104. doi:10.1080/09537325.2013.850155
Magerman, T., Van Looy, B., & Song, X. (2009). Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications. Scientometrics, 82(2), 289-306. doi:10.1007/s11192-009-0046-6
Mohler, J. L. (2001). Using interactive multimedia technologies to improve student understanding of spatially-dependent engineering concepts. Paper presented at the Proceeding of the International Conference on Computer Geometry and Graphics (Graphicon 2001).
Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications, 42(3), 1314-1324.
Nakamura, H., Sasaki, H., Shibata, N., Kajikawa, Y., Sakata, I., & Suzuki, S. (2010). Science and technology map analysis of a multi-disciplinary field-case study of aerospace engineering. Paper presented at the Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on.
Narin, F., Hamilton, K. S., & Olivastro, D. (1997). The increasing linkage between US technology and public science. Research policy, 26(3), 317-330.
Ogawa, T., & Kajikawa, Y. (2015). Assessing the industrial opportunity of academic research with patent relatedness: A case study on polymer electrolyte fuel cells. Technological Forecasting and Social Change, 90, 469-475.
Papadimitriou, C. H., Tamaki, H., Raghavan, P., & Vempala, S. (1998). Latent semantic indexing: A probabilistic analysis. Paper presented at the Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems.
Porter, A. L. (2009). Tech mining for future-oriented technology analyses. Futures Research Methodology.
Porter, A. L., & Detampel, M. J. (1995). Technology opportunities analysis. Technological Forecasting and Social Change, 49(3), 237-255.
Porter, A. L., Jin, X.-Y., Gilmour, J. E., & Cunningham, S. (1994). Technology opportunities analysis: Integrating technology mo. SRA journal, 26(2), 21.
Quimbaya, A. P., Múnera, A. S., Rivera, R. A. G., Rodríguez, J. C. D., Velandia, O. M. M., Peña, A. A. G., & Labbé, C. (2016). Named Entity Recognition Over Electronic Health Records Through a Combined Dictionary-based Approach. Procedia Computer Science, 100, 55-61.
Salton, G. (1989). Automatic text processing: The transformation, analysis, and retrieval of. Reading: Addison-Wesley.
Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information processing & management, 24(5), 513-523.
Salton, G., Wong, A., & Yang, C.-S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613-620.
Schnars, U., & Jueptner, W. (2005). Digital holography: digital hologram recording, numerical reconstruction, and related techniques: Springer Science & Business Media.
Shibata, N., Kajikawa, Y., & Sakata, I. (2010). Extracting the commercialization gap between science and technology—Case study of a solar cell. Technological Forecasting and Social Change, 77(7), 1147-1155.
Shilling, R. D., & Shinn-Cunningham, B. (2002). Virtual auditory displays. Handbook of virtual environment technology, 65-92.
Singh, N., Hu, C., & Roehl, W. S. (2007). Text mining a decade of progress in hospitality human resource management research: Identifying emerging thematic development. International Journal of Hospitality Management, 26(1), 131-147. doi:10.1016/j.ijhm.2005.10.002
Song, K., Kim, K. S., & Lee, S. (2017). Discovering new technology opportunities based on patents: Text-mining and F-term analysis. Technovation, 60, 1-14.
Trappey, C. V., Wu, H.-Y., Taghaboni-Dutta, F., & Trappey, A. J. (2011). Using patent data for technology forecasting: China RFID patent analysis. Advanced Engineering Informatics, 25(1), 53-64.
Wang, J. (1995). Integration of eye-gaze, voice and manual response in multimodal user interface. Paper presented at the Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on.
Wang, M.-Y., Fang, S.-C., & Chang, Y.-H. (2015). Exploring technological opportunities by mining the gaps between science and technology: Microalgal biofuels. Technological Forecasting and Social Change, 92, 182-195.
Wang, X., Ma, P., Huang, Y., Guo, J., Zhu, D., Porter, A. L., & Wang, Z. (2017). Combining SAO semantic analysis and morphology analysis to identify technology opportunities. Scientometrics, 111(1), 3-24.
Wei, C.-P., Hu, P., & Dong, Y.-X. (2002). Managing document categories in e-commerce environments: an evolution-based approach. European journal of information systems, 11(3), 208-222.
Xin, L., Jiwu, W., Lucheng, H., Jiang, L., & Jian, L. (2010). Empirical research on the technology opportunities analysis based on morphology analysis and conjoint analysis. Foresight, 12(2), 66-76.
Yoon, B., Park, I., & Coh, B.-y. (2014). Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining. Technological Forecasting and Social Change, 86, 287-303.
Yoon, B., & Park, Y. (2005). A systematic approach for identifying technology opportunities: Keyword-based morphology analysis. Technological Forecasting and Social Change, 72(2), 145-160.
Yoon, B. U., Yoon, C. B., & Park, Y. T. (2002). On the development and application of a self–organizing feature map–based patent map. R&D Management, 32(4), 291-300.
Zipf, G. K. (1949). Human Behaviour and the Principle of Least-Effort. Cambridge MA edn: Addison-Wesley, Reading.