Structured Knowledge Source Integration and its applications to information fusion

J. Masters
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引用次数: 27

Abstract

Structured Knowledge Source Integration, or SKSI, is an ongoing research and development project at Cycorp intended to enable the Cyc knowledge base to integrate (access, query, assimilate, and merge) a variety of external structured knowledge sources, such as databases, spreadsheets, XML or DAML tagged text, GIS datasets, and queryable Web pages. With SKSI, the Cyc knowledge base will be able to draw upon information obtained from multiple knowledge sources when answering complex queries, to assimilate (transform and store) the contents of the knowledge sources directly into the Cyc knowledge base, and to mediate between several semantically similar knowledge sources. These capabilities will extend the flexibility and power of the Cyc product to serve as the universal ontology and knowledge repository in any application requiring knowledge based reasoning. This article discusses some of the main technical issues of knowledge source integration, reviews some of the literature on the subject, describes some elements of the SKSI approach, illustrates two example Cyc queries that use two structured knowledge sources already mapped into Cyc, and proposes a Schema Modeling Toolkit of applications we are designing to leverage the core SKSI development.
结构化知识源集成及其在信息融合中的应用
结构化知识源集成(Structured Knowledge Source Integration,简称SKSI)是Cycorp正在进行的一个研究和开发项目,旨在使Cyc知识库能够集成(访问、查询、吸收和合并)各种外部结构化知识源,如数据库、电子表格、XML或DAML标记文本、GIS数据集和可查询的Web页面。使用SKSI, Cyc知识库将能够在回答复杂查询时利用从多个知识来源获得的信息,将知识来源的内容直接吸收(转换和存储)到Cyc知识库中,并在几个语义相似的知识来源之间进行中介。这些功能将扩展Cyc产品的灵活性和功能,在任何需要基于知识的推理的应用程序中充当通用本体和知识存储库。本文讨论了知识源集成的一些主要技术问题,回顾了有关该主题的一些文献,描述了SKSI方法的一些元素,举例说明了两个使用已经映射到Cyc的结构化知识源的Cyc查询示例,并提出了一个我们正在设计的应用程序的模式建模工具包,以利用核心SKSI开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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