ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

面向產(chǎn)品創(chuàng)新的科學(xué)原理知識管
CSTR:
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項(xiàng)目:


of Scientific Principle Knowledge for Product Innovation
Author:
Affiliation:

Fund Project:

  • 摘要
    • |
  • 圖/表
    • |
  • 訪問統(tǒng)計(jì)
    • |
  • 參考文獻(xiàn)
    • |
  • 相似文獻(xiàn)
    • |
  • 引證文獻(xiàn)
    • |
  • 資源附件
    • |
  • 文章評論
    摘要:

    為了使科學(xué)原理知識更好地啟迪設(shè)計(jì)人員進(jìn)行創(chuàng)新設(shè)計(jì)，通過分析科學(xué)原理知識的分類及映射關(guān)系，提出并建立了科學(xué)原理知識在產(chǎn)品創(chuàng)新設(shè)計(jì)中的應(yīng)用過程模型,；在此基礎(chǔ)上，根據(jù)領(lǐng)域本體構(gòu)建原則,，對功能和效應(yīng)的領(lǐng)域本體詞匯進(jìn)行了擴(kuò)展，建立了科學(xué)原理知識本體模型,，并以O(shè)WL語言加以實(shí)現(xiàn),；開發(fā)了基于本體模式的科學(xué)原理知識管理原型系統(tǒng)，討論了系統(tǒng)的構(gòu)建機(jī)制及語義檢索技術(shù),。最后,，給出系統(tǒng)應(yīng)用實(shí)例，說明了系統(tǒng)的有效性,。

    Abstract:

    To inspire designers to do creative design more effectively, the classification and mapping relation in scientific principle knowledge were analyzed, and an application process for scientific principle knowledge in product innovation was proposed and established. According to the construction principle of domain ontology, the ontology vocabulary of function and effects were extended, and the representation model of scientific principle knowledge was presented and implemented with OWL. A software prototype of ontology-based scientific principle knowledge management system was developed according to the proposed theory, and then the construction mechanism and semantic retrieval technology of the system were discussed. Finally, an example was given to illustrate the system’s effectiveness.

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

劉小瑩,李彥,黃振勇,馬濤.面向產(chǎn)品創(chuàng)新的科學(xué)原理知識管[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(5):182-189. of Scientific Principle Knowledge for Product Innovation[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(5):182-189.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期:
  • 出版日期:
文章二維碼