基于锚点建模和描述逻辑的自动融合数据库构建

Yang Yongzhi, Zhu Jun, Hou Xing-ming, Cui Kan, Li Ying
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引用次数: 0

摘要

锚点建模使数据库能够记录数据的时间维度并重播信息的历史。本文对锚点建模进行了扩展,引入了描述逻辑,旨在建立一个能够记录数据时间和语义信息以外的元数据的自动融合数据库。首先,将锚点建模的关系或实体关系模型的关系分解为一类对象关联及其角色,从而为ABox找到更灵活的数据描述格式。其次,将ALCF(D)扩展到涵盖FCO关联,并将TBox中的信息用新格式重写为ABox中的断言。第三,将ABox和TBox中的数据项翻译成Prolog的子句,作为演示,以支持查询和推理。这些工作为自动融合数据库提供分布式存储和自动数据融合、语义查询和推理以及可视化建模工具提供了可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Automatic Fusion Database with Anchor Modeling and Description Logic
Anchor Modeling enables databases to record the time dimension of data and replay the history of information. This paper, aimming at building an automatic fusion database which can record meta-data other than time and semantic information of data, extends Anchor Modeling and introduces description logic. First, the tie of Anchor Modeling or the relation of Entity Relation Model is decomposed into a First Class Object association and its roles, so that a more flexible data description format is found for ABox. Second, the ALCF(D) is extended to cover the FCO association, and information in TBox is rewritten as assertions in ABox with the new format. Third, the data items in both ABox and TBox are translated into clauses of Prolog, as a demonstration, to support the querying and reasoning. These works make it possible for the automatic fusion database to provide distributed storage and automatic data fusion, semantic querying and reasoning, and visual modeling tools.
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