Neighborhood and associative query answering

Neighborhood and associative query answering
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邻域和关联查询应答

DOI:
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发表时间:
1992
期刊:
Journal of Intelligence and Information Systems
影响因子:
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通讯作者:
Qiming Chen
Qiming Chen
中科院分区:
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文献类型:
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作者:
W. Chu;Qiming Chen

文献摘要

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协同查询应答扩展了查询应答的经典概念,提供邻域和关联信息。邻域查询应答通过抽象表示放松查询及其答案。为了将抽象视图与类型层次的包含(is-a)和组合(part-of)视图集成,引入了类型抽象层次的概念。为了评估和控制查询松弛,提供了接近度测量机制。关联查询回答提供概念上与查询相关但未明确询问的信息。由于对象关联是上下文敏感的,开发了一个DB-Pattern-KB框架,该框架通过虚拟数据库模式将特定领域的知识和本地化问题域中的参与对象耦合起来。然后,通过跟踪这些问题域中协作对象之间的行为依赖关系,可以实现关联查询应答。这种框架允许相关的数据库和知识库在各种环境中动态地链接,但保持相对独立于彼此。所提出的方法已在合作数据库系统测试,CoBase,在加州大学洛杉矶分校。我们的经验表明,所提出的技术是有效的合作查询回答。
Cooperative query answering extends the classical notion of query answering to provide neighborhood and associated information. Neighborhood query answering relaxes the query and its answer via abstract representations. To integrate the abstraction view with the subsumption (is-a) and composition (part-of) views of type hierarchy, the notion of type abstraction hierarchy is introduced. To evaluate and control query relaxation, a nearness measure mechanism is provided. Associative query answering provides information conceptually related to, but not explicitly asked by the query. As object association is context sensitive, a DB-Pattern-KB framework is developed that couples domain-specific knowledge and participating objects in localized problem domains via virtual database patterns. Associative query answering can then be accomplished through tracing the behavior dependencies among cooperating objects in those problem domains. Such a framework allows related databases and knowledge bases to be linked dynamically in various contexts yet be maintained relatively independent of each other. The proposed approach has been implemented in the cooperative database system tested, CoBase, at UCLA. Our experience reveals that the proposed techniques are effective for cooperative query answering.