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Pattern matching method of deep Web query interface based on attribute co-occurrence pattern

A query interface and pattern matching technology, applied in the computer field, can solve the problem of not being able to identify two attributes

Inactive Publication Date: 2017-05-03
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

Therefore, the negative correlation measure of DCM m n It has two defects: one is when f 11 =0, m n It is impossible to identify whether the two attributes have a real negative correlation or are completely irrelevant; the second is m n It is also possible to give a high match score for rare attributes

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  • Pattern matching method of deep Web query interface based on attribute co-occurrence pattern
  • Pattern matching method of deep Web query interface based on attribute co-occurrence pattern
  • Pattern matching method of deep Web query interface based on attribute co-occurrence pattern

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Embodiment Construction

[0050] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0051] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than Nothing indicating or implying that a referenced device or elem...

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Abstract

The invention discloses a Deep Web query interface pattern matching method based on an attribute co-occurrence mode. Deep Web query interfaces serve as the only way to obtain Web database information, and the primary task of integration is completion of pattern matching between query interfaces. According to the Deep Web query interface pattern matching method based on the attribute co-occurrence mode, on the basis that the co-occurrence mode of the attributes in some specific field in Deep Web data sources, namely the characteristic that attributes in the group relation usually appear together, and attributes in matching relation usually do not appear together, and group relation measurement and matching relation measurement are designed. Meanwhile, in consideration of the characteristic that a matching score threshold cannot be easily determined due to field independence, in order to keep flexibility of an algorithm, the threshold is not set in the algorithm. At last, a greedy strategy is used for recognizing the matching relation which has the higher matching score and richer lexeme at present, a specific strategy for eliminating matching conflict is adopted, and a multi-branch complex matching set existing in some specific field is found.

Description

technical field [0001] The invention relates to the computer field, a module of Deep Web data integration, that is, query interface pattern matching. The correlation mining technology in data mining is well applied to the query interface pattern matching problem, and at the same time, the query interface pattern matching problem is abstracted into a correlation mining phenomenon. In particular, the invention relates to a method for matching Deep Web query interface patterns based on attribute co-occurrence patterns. Background technique [0002] On the one hand, DCM measures The indirectly obtained positive correlation measure m p =1-m n , where m p After simplification, (subscript n indicates negative correlation, subscript p indicates positive correlation. f 10 Indicates attribute A p In case A q number of non-occurrences, f 01 similar; f 1+ Indicates attribute A p the number of occurrences, f +1 Indicates attribute A q the number of occurrences. ) [0003] ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/25
Inventor 冯永陆维
Owner CHONGQING UNIV
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