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SEARCH ENGINE AND LINK-BASED RANKING ALGORITHM FOR THE SEMANTIC WEB

机译:语义Web的搜索引擎和基于链接的排名算法

摘要

A dataset ranking procedure for use in a hyperdata search engine is disclosed. A problem with known hyperdata search engines is they rank the datasets in a way that leads to prominence being given in search results to unimportant datasets. The hyperdata search engine disclosed here addresses this problem by giving extra credence to any dataset which includes the original definition of a resource which is referred to in a resource definition in another dataset. In this way, datasets which the authors of other datasets choose to refer to in their own resource definitions are given greater prominence in the results provided by a hyperdata search engine, providing a user with what he requires in order to more quickly find a dataset which provides useful information relating to his search query. In some embodiments, the reference to another dataset is found in a relationship statement including a subject, predicate and object, and the amount of extra credence given by virtue of the reference depends on the predicate found in the relationship statement. In refinements of those embodiments, the use of a more popular predicate in the relationship statements leads to the reference being given more weight.
机译:公开了用于超数据搜索引擎中的数据集排名过程。已知的超数据搜索引擎的一个问题是,它们以某种方式对数据集进行排名,从而导致在搜索结果中突出显示不重要的数据集。此处公开的超数据搜索引擎通过为任何数据集提供额外的信任度来解决此问题,该数据集包括在另一个数据集中的资源定义中引用的资源的原始定义。这样,其他数据集的作者选择在其自己的资源定义中引用的数据集在超数据搜索引擎提供的结果中得到了更大的突出,从而为用户提供了他所需要的内容,以便更快地找到一个数据集。提供有关其搜索查询的有用信息。在一些实施例中,在包括主语,谓语和宾语的关系语句中找到对另一个数据集的引用,并且借助于该引用给出的额外信任的量取决于在该关系语句中找到的谓语。在那些实施例的改进中,在关系陈述中使用更流行的谓词导致给该引用更大的权重。

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