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A prototype-centered approach to adding deduction capability to search engines- the concept of protoform

机译:以Prodofoft的扣除能力添加到搜索引擎的原型居中方法 - Protoform的概念

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Existing search engines have many remarkable capabilities. But what is not among them is deduction capability - the capability to answer a query by drawing on information which resides in various parts of the knowledge base or is augmented by the user An example of a simple query which cannot be answered by any existing search engine is: "How many UC Berkeley alumni were born in California?" In this case, the query and the query-relevant information are crisp. In the query "How many UC Berkeley alumni are wealthy?" the query-relevant information is crisp but the query is fuzzy. The problem-- which is not widely recognized-- is that much of the information in the knowledge base of a search engine is perception-based. Methods based on bivalent logic and standard probability theory lack capability to operate on perception-based information. A search engine with deduction capability is, in effect, a question-answering system.
机译:现有的搜索引擎具有许多显着的功能。但是,它们之一的是扣除能力 - 通过绘制驻留在知识库的各个部分的信息或由用户增强的信息来回答查询的能力,这是任何现有搜索引擎无法回答的简单查询的示例是:“有多少UC Berkeley校友出生在加利福尼亚州?”在这种情况下,查询和查询相关信息是清晰的。在查询“有多少UC Berkeley校友富裕?”查询相关信息是清晰的,但查询是模糊的。问题 - 没有广泛认识到的是,搜索引擎的知识库中的大部分信息是基于感知的。基于二价逻辑和标准概率理论的方法缺乏在基于感知信息上运行的能力。具有扣除能力的搜索引擎实际上是一个问答系统。

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