本文透過多功能且多層次代理人創研機制系統，應用關聯式資料庫原理來進行新載具的擴充並改善學習知識庫的存取與搜尋。本文先利用船舶結構來描述關聯式工程知識庫，氣動釘槍及CMP來描述關聯式工程知識庫及關聯式專利知識庫並實作新產業的擴充應用與改善學習知識庫的存取與搜尋。在創研流程中的新增載具代理人部份本文又建立虛擬關聯式知識庫，利用JAVA程式語言來撰寫虛擬關聯式知識庫的架構，此架構具有多層知識庫的擴充及多欄位知識庫的擴充且各層知識之間具有關聯性。在使用虛擬關聯式知識庫之前使用者要先了解該載具的知識架構，該載具有哪些知識、公式、圖片…等等，整理完再將這些結果一層一層的輸入虛擬關聯式知識庫。本文所建立之虛擬關聯式知識庫可以使用在工程知識與專利知識的擴充。
本文在原本創研流程中的新增載具代理人建立虛擬關聯式知識庫，可以加強創研流程的功能。對於前面所述的，未來使用者在使用工程知識庫與專利知識庫時其內部知識關聯性會更好，於創研流程中尋找知識更加方便。此外本文改善學習知識庫的存取與搜尋並應用本研究所設計的虛擬關聯式知識庫做初步的搜尋來改善傳統式知識庫的搜尋速度，並將查尋出來的知識儲存至學習知識庫中，以提供使用者在日後可加快搜尋與儲存知識之速度，以達輔助了解載具之相關知識。

Through multifunctional and multilayered agent innovation mechanism system,the study applies relational database principle to undergo the expansion of new carrier and improve the access and search of learning knowledgebase. First of all, the study uses ship structure to describe relational engineering knowledgebase. Pneumatic nail gun and CMP are employed to describe the relational engineering knowledgebase and the relational patent knowledgebase, actually perform the expanded application of new industries, and improve the access and search of knowledgebase. Apart from the additional increase of the carrier agent part in the innovation process, the study establishes a virtual relational knowledgebase, and uses JAVA program language to write the structure of virtual relational engineering knowledgebase.This structure possesses the expansion of both multilayered knowledgebase and multicolumn knowledgebase. Before the application of virtual relational engineering knowledgebase, users have to understand the knowledge structure of this carrier, and what knowledge, formulas, diagrams … etc. the carrier has. After a rearrangement is made, these results are entered layer by layer to the virtual relational engineering knowledgebase. The virtual relational engineering knowledgebase established by this sutdy can be applied to the expansion of engineering knowledge and patent knowledge。
This sutdy adds carrier agent to the original innovation process, and establishes virtual relational knowledgebase so as to strengthen the functions of innovation process. As to the issue mentioned above, the future users will find a better knowledge correlation inside the engineering knowledgebase and patent knowledgebase in use, and will achieve a more convenient search of knowledge in the innovation process. Besides, this sutdy improves the access and search of knowledgebase, and applies the virtual relational knowledgebase designed by this study to undertake preliminary search in order to improve the searching speed of the traditional knowledgebase. The searched knowledge is stored in the learning knowledgebase, enabling users to search and store knowledge at a faster speed, and assisting them in the understanding of the related knowledge of carrier。

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