養魚常會有平常水質環境照護、餵食,並進階繁殖等問題,期望藉由研究專題知識本體為基礎之觀賞魚養殖推薦機制,以淡水觀賞魚龍魚為主,依人、事、時、地、物,發生何種狀況等原因,期望透過知識本體架構與機制,以情境式方式分類。人:性別、興趣、預算、飼養魚齡。事:現狀態 生病狀態該如何因應,適合養多久。 時:春、夏、秋、冬。地:養在哪裡,室內環境、 辦公環境、臥室、 水族館、 商場、大池子。物:室內環境買什麼設備、室外環境如何建置等,並利用智識本體推薦因個人條件適性,適合養什麼龍魚,購買什麼設備及龍魚在疾病發生時能有對應正確方法避免因個人知識不足或經驗不夠,找出最適解決方法,期藉由此推薦機制,找出飼育觀賞魚正確觀念與方法,以降低活體死亡率。
Fish often have common water quality care, feeding, and advanced breeding and other issues, it is desired by the research project Ontology-based ornamental fish breeding Inference mechanism to freshwater aquarium fish Arowana mainly by people, things, times, places, things , what conditions and other causes, we hope that through knowledge ontology structure and mechanisms for situational way classification. People: gender, interests, budget, raising the age of fish. Things: the current state of the sick state how to respond, suitable for a long. When: spring, summer, autumn and winter. To: keep where the indoor environment, office environment, bedroom, aquariums, shopping malls, large pond. Was: what to buy equipment indoor environment, outdoor environment, how to build and so on, and recommend the use of the intellectual body condition due to personal suitability for raising what Arowana, Arowana and what to buy equipment when there is a corresponding disease can be the right way to avoid personal lack of knowledge or experience is not enough to find the optimal solution, of this recommendation by the mechanism to identify the correct concept of ornamental fish breeding and methods to reduce the mortality rate in vivo.