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首页> 外文期刊>International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems >FOUR-VALUED KNOWLEDGE AUGMENTATION FOR STRUCTURED DOCUMENT RETRIEVAL
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FOUR-VALUED KNOWLEDGE AUGMENTATION FOR STRUCTURED DOCUMENT RETRIEVAL

机译：结构化文档检索的四值知识增强

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摘要

Structured documents are composed of objects with a content and a logical structure. The effective retrieval of structured documents requires models that provide for a content-based retrieval of objects that takes into account their logical structure, so that the relevance of an object is not solely based on its content, but also on the logical structure among objects. This paper proposes a formal model for representing structured documents where the content of an object is viewed as the knowledge contained in that object, and the logical structure among objects is capture by a process of knowledge augmentation: the knowledge contained in an object is augmented with that of its structurally related objects. The knowledge augmentation process takes into account the fact that knowledge can be incomplete and become inconsistent.
机译：结构化文档由具有内容和逻辑结构的对象组成。有效检索结构化文档需要模型，该模型考虑到对象的逻辑结构来提供基于内容的对象检索，因此对象的相关性不仅取决于其内容，还取决于对象之间的逻辑结构。本文提出了一种表示结构化文档的形式化模型，其中将对象的内容视为该对象中包含的知识，并通过知识增强的过程来捕获对象之间的逻辑结构：对象中包含的知识通过与其结构相关的对象。知识扩充过程考虑到了知识可能不完整和变得不一致的事实。

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