Visual network retrieval presentation system and presentation control method based on multi-dimensional semantics

Abstract

The invention relates to a multi-dimensional semantic based visualized network retrieval rendering system and a rendering control method, belonging to the technical field of network retrieval. The system comprises a query server, a semantic matching and reasoning module, an index database, a semantic index result set, a fractal dimension rule unit and a multi-dimensional result rendering unit. The method comprises the following steps that: the semantic matching and reasoning module carries out semantic matching and reasoning on a keyword, and the index database establishes and stores a semantic ontology index according to an obtained semantic matching and reasoning result set; and a multi-dimensional rule unit clusters the index result set into a multi-dimensional and multi-level data result according to the semantic distance of keywords in the semantic index result set, so that a situation that a user quickly positions a target result of retrieval in a multi-dimensional based candidate retrieved result rendering form is facilitated, thereby effectively distinguishing different semantics of the same text information and improving the retrieval efficiency.

Description

technical field [0001] The present invention relates to the technical field of network retrieval, in particular to the technical field of network retrieval presentation, in particular to a multi-dimensional semantics-based visual network retrieval presentation system and presentation control method. Background technique [0002] With the rapid development of retrieval technology, various mature search engines such as Google (Google), Yahoo (Yahoo), and Baidu (Baidu) have emerged at home and abroad. These search engines are mainly based on text-based information retrieval technology, providing users with a complete and highly relevant information retrieval engine. Although the existing text search technology can search for files containing the user's text query information, the presentation form is mainly to sort according to the relevance of the search results, and return the results in the form of a link result set to the user. The biggest shortcoming of this retrieval te...

AI Technical Summary

Problems solved by technology

The biggest shortcoming of this retrieval technology is that the ambiguity of the retrieval keywords leads to a wide variety of semantic relationships in the search result sets. For example, when the search keyword submitted by the user to the search engine is "apple", the search engine cannot correctly judge " refers to the fruit "apple", or to the "Apple" company founded by Steve Jobs, or to the French film "The Apple"

In the absence of context, the search engine cannot accurately determine which candidate content the keyword "Apple" is most relevant to, so the search results often cannot meet the needs of users

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