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IMPrECISE: Good-is-good-enough Data Integration

机译:ImpERECIsE:良好的数据集成

摘要

The IMPrECISE system is a probabilistic XML database system which supports near-automatic integration of XML documents. What is required of the user is to configure the system with a few simple knowledge rules allowing the system to sufficiently eliminate nonsense possibilities. We demonstrate the integration process under conditions with varying degrees of confusion and different sets of rules.udEven when an integrated document still contains much uncertainty, it can be queried effectively. The system produces a sequence of possible result elements ranked by likelihood. User feedback on query results further reduces uncertainty which in a sense continues the semantic integration process incrementally. We demonstrate querying on integrated documents and measure answer quality with adapted precision and recall measures. The user feedback mechanism has not been implemented, hence cannot be demonstrated yet.udIMPrECISE has been implemented as an XQuery module for the XML DBMS MonetDB/XQuery. Therefore, the demo also illustrates the power of this XML DBMS and of XQuery as both a query and programming language.
机译:IMPrECISE系统是一个概率XML数据库系统,它支持XML文档的近乎自动的集成。用户所需要的是用一些简单的知识规则来配置系统,以使系统充分消除废话的可能性。我们演示了在混乱程度不同和规则集不同的情况下的集成过程。 ud即使集成文档仍然包含很多不确定性,也可以对其进行有效查询。系统产生按可能性排序的可能结果元素序列。用户对查询结果的反馈进一步减少了不确定性,从某种意义上说,这种不确定性会逐步继续语义集成过程。我们演示了对集成文档的查询,并以适应的精度和召回率来衡量答案的质量。用户反馈机制尚未实现,因此无法证明。 udIMPrECISE已实现为XML DBMS MonetDB / XQuery的XQuery模块。因此,该演示还说明了XML DBMS和XQuery作为查询和编程语言的强大功能。

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  • 作者

    Keulen Maurice van;

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  • 年度 2009
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