Ontology-based freshwater arowana inference mechanism / 以知識本體為基礎之觀賞魚養殖推薦機制

碩士 / 中原大學 / 資訊管理研究所 / 104 / 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.

Identiferoai:union.ndltd.org:TW/104CYCU5396004
Date January 2016
CreatorsHSIN-CHIEH Lin, 林信傑
ContributorsCHIH-HAO LIN, 林志浩
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format56

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