Information storage and query method based on vertical search engine and device thereof

Abstract

The invention discloses an information storage and query method based on a vertical search engine and a device of the information storage and query method based on the vertical search engine. The method comprises the steps of confirming attribute correlation values of each document to be stored according to attribute values included in a specified attribute field, judging whether numerical values identical with the attribute correlation values are stored in a message dictionary or not, writing offset and the number of the attribute values of an initial position stored in the message dictionary in a positive row table index file if the numerical values identical with the attribute correlation values are stored in the message dictionary, confirming offset and the number of the attribute values of the initial position of the attribute values in the positive row table index file if the numerical values identical with the attribute correlation values are not stored in the message dictionary, storing the confirmed attribute correlation values, the confirmed offset and the confirmed number of the attribute values in the message dictionary, writing the confirmed offset and the confirmed number of the attribute values in the positive row table index file, and starting to write the attribute values included in the specified attribute field of the document to be stored. Therefore, occupation of internal memory resources is reduced, and the rate that a user uses the vertical search engine to inquire relevant information is improved.

Description

technical field [0001] The present application relates to the technical field of search engines, in particular to an information storage method and device based on a vertical search engine, and an information search method and device based on a vertical search engine. Background technique [0002] Vertical search engine is a new search engine service model proposed relative to the problems of general search engines, such as large amount of information, inaccurate query, and insufficient depth. Provide valuable information and related services for a specific group of people or a specific need. The vertical search engine integrates a certain type of special information in the webpage library, extracts the required data by orientation and field, processes the data and returns it to the user in some form. [0003] The basic architecture of a vertical search engine is as follows: figure 1 As shown, the indexing system database of the vertical search engine mainly includes three...

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Problems solved by technology

[0009] The above described in detail the specific implementation of data search using vertical search engine technology, because the positive list needs to be stored in the memory, and in the data file of the positive list, the stored attribute values ​​​​of the indexed documents, There will be more duplicate storage of the same file attribute value, for example in the above Figure 4 In the document, the document attribute value with document ID 0 and the document attribute value with document ID 2 are exactly the same, but in the data file of the positive list, it has to be stored twice, and this repetitive storage will take up more time. Memory resources, so that when users use vertical search engines to query relevant information, the search rate will be reduced due to insufficient memory resources of the system

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