Integration method of Deep Web query interface based on tree merging

A technology of query interface and integration method, which is applied in the field of Deep Web query interface integration based on tree merging, can solve problems such as ignoring the structural relationship of query attributes, lack of scalability, and failure to mine structured information of query attributes, etc., to achieve good scalability , improve the effect of matching accuracy

Inactive Publication Date: 2010-03-10
ZHEJIANG UNIV
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Problems solved by technology

However, there are still some limitations in the existing research: first, the current research adopts plane modeling for the query interface, and does not mine the structural information between the query attributes; The structural relationship between the query attributes is not clear, so the final integr

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  • Integration method of Deep Web query interface based on tree merging
  • Integration method of Deep Web query interface based on tree merging
  • Integration method of Deep Web query interface based on tree merging

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Embodiment Construction

[0021] The technical solution of the present invention will be further described in conjunction with specific implementation and examples.

[0022] 1. As shown in the accompanying drawings, the specific implementation process and working principle of the present invention are as follows:

[0023] 1) Carry out pattern tree modeling on the query interface after pattern extraction, model all query interfaces to be integrated with pattern tree, and generate pattern tree set S={S 1 , S 2 …S n};

[0024] 2) analyze the semantics of the leaf nodes in the pattern tree, and calculate the similarity of different nodes in the pattern tree;

[0025] 3) Use the similarity calculation method in step 2) to perform attribute matching of the pattern tree, and then use a pairwise tree-based merging method to merge the pattern trees in pairs to finally generate an integrated interface;

[0026] 4) According to the merging track recorded in the merging process of step 3), the mapping relation...

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Abstract

The invention discloses an integration method of Deep Web query interface based on tree merging. A pattern tree is used for representing the query interface, and the structural features of the tree are utilized to embody the logical relation implied in the physical layout between query properties. Except for calculating the semantic similarity of attribute in conventional pattern matching, the matching process also introduces the structural similarity of attribute in the pattern tree, puts forward the method for calculating the structural similarity between nodes, thereby improving the accuracy of attribute matching. The integration of query interface is realized based on tree merging, which can not only inherit the structural features of the initial query interface, but also realize the accession of new query interfaces by one merging with good expansibility. Except for generating integration interface, the invention can also conveniently generate the mapping relation of attributes between the original query interface and the integration interface.

Description

technical field [0001] The invention relates to Deep Web data integration, vertical search engine and information extraction system technology, in particular to a Deep Web query interface integration method based on tree merging. Background technique [0002] With the rapid development of the Internet, the number of Web online databases has also shown explosive growth. As early as 2004, the survey report of UIUC University showed that the number of websites with online databases had reached 307,000, and the number of databases behind them had reached 366,000-535,000, covering various fields in the real world. Different websites provide query interfaces with different query capabilities for databases in the same field, so users have to visit the query interfaces of each website one by one to obtain more comprehensive data. In order to avoid these tedious and inefficient queries, it is imminent to integrate data from various data sources. The first thing to be solved in data...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 胡天磊陈珂陈刚寿黎但陶然
Owner ZHEJIANG UNIV
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