Deep layer web page data source sort management method based on query interface connection drawing

Abstract

The present invention discloses a deep webpage data source classifying management method based on a query interface connecting picture. The method includes the following procedures: (1) acquiring the form assembly of a deep webpage query interface; (2) automatically extracting the characteristic values of the query interface form acquired in procedure (1) which comprises a form label name and attribute values; (3) constructing characteristic vectors of the form; (4) acquiring an associated adjacent matrix related with label, attribute value and the combination of label and attribute value, through the similarity comparison among vectors; (5) constructing a connecting picture of the query interface form assembly which can be expressed by the associated adjacent matrix; (6) utilizing a clustering method to cluster weighted undirected graphs; (7) acquiring the clustering result of the deep webpage data source. The present invention increases the automatic classifying management performance of the large-scale deep webpage data source through effectively constructing the query interface connecting picture of the deep webpage data source and combining with the graph mining.

Description

technical field [0001] The invention relates to an information automatic classification management method, in particular to a classification management method applied to deep webpage data sources. Background technique [0002] With the widespread application of network databases, the network is "deepening" at an accelerated rate. There are a large number of pages on the Internet that are dynamically generated by the background database. This part of the information cannot be directly obtained through static links, but can only be obtained by filling out forms and submitting queries. Since traditional web crawlers (Crawlers) do not have the ability to fill out forms, they cannot be obtained. page. Therefore, the existing search engines cannot search for this part of the page information, thus causing this part of the information to be hidden and invisible to the user. We call it Deep Web (Deep Web, also known as Invisible Web, Hidden Web). Deep Web is a concept correspondin...

AI Technical Summary

Problems solved by technology

Classification and clustering are important methods for classification and management of data sources in data integration. At present, most research methods on query interfaces are limited to the mining of Web features and text information in classification and clustering methods, and no new methods are involved. The introduction of graph models Provides a new avenue for our research on the classification management of Deep Web data sources, which is an area that researchers have not set foot in

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