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Comparison of a Deductive Database with a Semantic Web reasoning engine

机译：演绎数据库与语义Web推理引擎的比较

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摘要

Knowledge engineering is a discipline concerned with constructing and maintaining knowledge bases to store knowledge of various domains and using the knowledge by automated reasoning techniques to solve problems in domains that ordinarily require human logical reasoning. Therefore, the two key issues in knowledge engineering are how to construct and maintain knowledge bases, and how to reason out new knowledge from known knowledge effectively and efficiently. The objective of this paper is the comparison and evaluation of a Deductive Database system (ConceptBase) with a Semantic Web reasoning engine (Racer). For each system a knowledge base is implemented in such a way that a fair comparison can be achieved. Issues such as documentation, feasibility, expressiveness, complexity, distribution, performance and scalability are investigated in order to explore the advantages and shortcomings of each system.
机译：知识工程是一门涉及构建和维护知识库以存储各个领域的知识并通过自动推理技术使用该知识来解决通常需要人工逻辑推理的领域中的问题的学科。因此，知识工程中的两个关键问题是如何构建和维护知识库，以及如何有效地从已知知识中推论出新知识。本文的目的是对带有语义Web推理引擎（Racer）的演绎数据库系统（ConceptBase）进行比较和评估。对于每个系统，都以可以实现公平比较的方式来实现知识库。为了研究每个系统的优点和缺点，研究了文档，可行性，表达性，复杂性，分布，性能和可伸缩性等问题。

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