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  • 學位論文

運用邏輯規則式之動物知識查詢系統

A Rule-Based System for Querying about Animals

指導教授 : 林美娟
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摘要


本研究旨在發展一套動物知識查詢系統,以提供依動物生理特徵查詢動物的功能。當使用者對於動物外觀僅有約略的印象且不知該動物的名稱時,可透過與本系統彈性問答的方式,逐步尋得所欲尋找之動物。因此,本系統除具備查詢功能外,亦可在問答過程中培養使用者的觀察與分類能力。 本研究在一位生物專家的協助下進行了動物特徵分析,並將動物特徵知識建構成一個動物特徵分類結構圖。我們並根據此結構圖設計了DFSA、BKA、SPFA等搜尋策略,使系統能與查詢者進行彈性的問答。於查詢過程中,系統以特徵圖片與文字輔助說明並陳的方式,幫助使用者瞭解系統所問的問題並觀察動物的特徵。 本系統以 wxCLIPS 進行系統實作,利用規則式程式語言 (rule-based lan-guages) 所具有的邏輯推理能力建構而成此一問答式的查詢系統。

並列摘要


The objective of this research is to develop a rule-based system to be used for querying about animals. Based on the fragmentary observations that a user may have about an animal, the system can help the user identify what animal it is and then provides further information about the animal at the user’s request. The user interacts with the system via a conversational interface. The system generates a series of questions dynamically to guide the user through observing distinctive features of animals that will help pinpoint the target animal. Both textual and pictorial information are provided to assist users in observing and understanding about animals. A biology expert was consulted during the process of knowledge acquisition and analysis. By analyzing the characteristics of animals, we constructed a dichotomous tree structure which forms the basis of the system’s knowledge base. It is further augmented with detailed knowledge about animals collected from encyclopedia and web sites. We then designed the DFSA, BKA, and SPFA as our searching strategies which serve the purpose of determining the appropriate question to be asked in different situations. Our system has been implemented in wxCLIPS, a rule-based programming language.

並列關鍵字

rule-based

參考文獻


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