XML-based retrieval method oriented to constraint on integrated paths of large amount of small-size XML documents

Abstract

The invention provides an XML-based (extensible markup language) retrieval method oriented to the constraint on integrated paths of a large amount of small-size XML documents. The innovative XML-based retrieval method comprises the following steps: using the keywords subject to the path constraint in an XPath form as a way for a user to submit a query, so that the user can express the requirements for the query in an easier and more accurate way; providing a novel retrieval ranking model subject to the path constraint, wherein by making full use of the characteristic of the structural layer of an XML document, the retrieval ranking model based on the conventional VSM (vector space model) can skillfully apply the N-Gram idea to the matching calculation of the path constraint, thus acquiring the degree of correlation between the document and the query of the user; and finally sequencing the documents according to the degree of correlation. The technical scheme provided by the invention for retrieving the XML documents can accurately express the requirements of a user for queries, and calculate the degree of correlation between the document and the query of the user by making full use of the path constraint of the XML document; and the retrieval result obtained by the technical scheme of the invention can better meet requirements of the user. Therefore, XML-based retrieval method is applicable to the field of retrieval of XML documents and databases.

Description

【Technical field】 [0001] The invention belongs to the technical field of databases, and in particular relates to a scheme for retrieving a large amount of small-scale XML documents through a novel fusion path constraint. 【Background technique】 [0002] Extensible Markup Language (eXtensible Markup Language, XML) has become the most popular standard for information representation and data exchange due to its self-describing, extensible and semi-structured characteristics, and has been widely supported and accepted in various fields. application. With the massive emergence of data and information in the form of XML, how to obtain the information that users are interested in from the massive XML documents has become one of the problems that people pay close attention to. It is based on this demand that information retrieval, a traditional data management and acquisition technology, begins to set foot in the field of XML data. [0003] Because of its simple use and concise int...

AI Technical Summary

Problems solved by technology

However, due to the hierarchical structure of XML documents, this tf-idf weighting scheme on plain text is not fully applicable. Therefore, how to improve the indexing word weighting scheme and vector space model to calculate the similarity between documents and queries has become a further problem. one of the research questions

[0005] At present, for the retrieval of large-scale XML documents, most researchers think that it is not necessary to return the entire document to the user, but only the document fragments that meet the retrieval conditions, but it is usually difficult to determine the granularity of the fragments that meet the retrieval conditions

Moreover, for the retrieval of massive small-scale XML documents, since the documents themselves are short and small, if only some fragments are returned, it is likely to result in too little information provided, which cannot meet the needs of users

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