Index, search, storage and display control information systems construction method for associated data

Abstract

The invention discloses an information system relating to the index, searches, storage and control displaying of the related data. The invention index system at least comprises two data blocks with relating relationship, each data block consists of position information blocks and content information blocks, the content information blocks are the other data besides the position information blocks in the data blocks, the position information blocks record the position information of the other data blocks related to the data blocks and generate index data according to the prescribed steps; the index method is that: the method generates data block aggregation according to the information input by the users, uses the method of generating key words by corresponding index system to generate index words, and then proceeds index to the index words and displays the result. The invention proceeds the displaying control based on the data blocks and the geometrical relationships in the existing displaying district. The invention is utilized to directly index the relating information in the related data, so as to conveniently realize the concurrent processing of multi-users and commonly share the information which is managed.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a construction method of an information system with storage, indexing, retrieval and presentation control of relational data. Background technique [0002] In the current information society, with the gradual popularization of information technology, information systems have been widely used. With the accumulation of more and more data in information systems, people have gradually relied on retrieval to quickly obtain information from information systems. When people search for information in the information system, they often get a lot of results, among which a large number of irrelevant contents reduce the efficiency of people's information acquisition, and also reduce the effective utilization of system resources. This phenomenon is particularly prominent in the retrieval of massive information systems. For example, when retrieving a certain information in an existing se...

AI Technical Summary

Problems solved by technology

From this, it can be found that the retrieval based on keyword matching technology has deficiencies in the following two links: the first link is that when indexing, except for whether keywords appear in the text, the index data does not save the information that exists in the document. Additional information for

In fact, the information contained in the text has been lost during the indexing process, resulting in the lack of information, so that the index data is not enough to fully reflect the information in the text

The second link is when searching. The Boolean search conditions composed of search terms only describe the occurrence conditions of the search terms in the text. Therefore, the search terms lack the ability to describe complex semantics in the text, which makes it difficult for users to clearly and detailedly Description retrieval target for

[0010] The current concept map tool stores, processes and shares the data of the whole map as a unit. Therefore, if a concept map has a large amount of data, especially when the map contains a lot of image data, the corresponding The larger the amount of data, resulting in greater network bandwidth and longer transmission delays during data transmission when sharing over the network

Because the concept map software puts all the data of the whole map into the memory of the data processing device for operation, the memory resource requirements for the data processing device are also high; the data processing method of the whole map makes the granularity of data processing larger, which is not conducive to Realizing the concurrent processing and sharing of multiple objects in the concept map by multiple users, especially in the case of large-scale multi-user concurrent processing and sharing of massive concept map data, will directly make it difficult for the data processing system to further improve the processing performance, and will also As a result, the probability of data access conflicts increases when sharing massive data, which in turn leads to system performance bottlenecks

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