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Hyspirit-A Probabilistic Inference Engine For Hypermedia Retrieval in Large Databases

机译:Hyspirit-A大型数据库中超媒体检索的概率推理引擎

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摘要

Hyspirit is a retrieval engine for hypermedia retrieveval integrating concepts fro minfromation retrieval and deductive databases. The logical view on IR models retrieval as uncertain inference, for which we use probabilistic reasoning. Since the exressiveness of classical IR models is not sufficient for hypermedia retrieval, Hyspirit is based on a probabilistic version fo Datalog. In hypermedia retrieval, different nodes may contain contradictory information; thus, we introduce probabilitstic four-valued datalog. In order to support fact queries as well as content-based retrieval, Hyspirit is based on an open world assumption, but allows for predicate-specific closed world assumptions. For performing efficient retrieval on alrge databases, our systme provids access to extermal data. We demonstrate the applciation of HYspirit by giving examples for retrieval on image,s structured documents and large databases.
机译:Hyspirit是用于超媒体检索的检索引擎,它集成了最小化检索和演绎数据库的概念。关于IR的逻辑视图将检索模型确定为不确定推论,为此我们使用概率推理。由于经典IR模型的巨大性不足以进行超媒体检索,因此Hyspirit基于Datalog的概率版本。在超媒体检索中,不同的节点可能包含矛盾的信息。因此,我们介绍了概率四值数据记录。为了支持事实查询和基于内容的检索,Hyspirit基于开放世界的假设,但允许特定于谓词的封闭世界的假设。为了在大型数据库上执行有效的检索,我们的系统可提供对外部数据的访问。我们通过提供图像,结构化文档和大型数据库检索示例来演示HYspirit的应用。

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