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Ontology-based search intention expression method and system

A technology of search intent and expression method, applied in the field of knowledge graph, can solve problems such as affecting search recall effect, unable to meet user search requirements, etc., to achieve accurate search results and improve accuracy.

Active Publication Date: 2022-03-18
广州极天信息技术股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, only using keywords, natural language sentences or texts to express search intentions obviously cannot meet the user's search requirements, because the keywords, natural language sentences or texts entered by users are only an expression of their search intentions
For the same intention, different people will use different words or word combinations to express it. If the content in the data source is the result of multiple expressions, using an expression of intention to match the search will obviously seriously affect the search results. full effect

Method used

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  • Ontology-based search intention expression method and system
  • Ontology-based search intention expression method and system
  • Ontology-based search intention expression method and system

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Experimental program
Comparison scheme
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Embodiment 1

[0028] This embodiment proposes an ontology-based search intent expression method, such as figure 1 As shown in FIG. 2 , it is a flow chart of the method for expressing search intent in this embodiment.

[0029] The search intent expression method proposed in this embodiment includes the following steps:

[0030] S1. Obtain the search content input by the user, and perform word segmentation on the search content.

[0031] S2. Use the preset domain ontology-based knowledge graph to identify the concept of the word segmentation result, and obtain the concept label corresponding to the word segmentation result.

[0032] S3. According to the concept label corresponding to the word segmentation result, search for synonyms, extension words and / or associated words from the domain ontology-based knowledge graph and display them.

[0033] S4. The user selects a target search word from the displayed synonyms, extension words and / or associated words, and combines the selected target se...

Embodiment 2

[0040] This embodiment proposes an ontology-based search intent expression method, such as image 3 As shown in FIG. 2 , it is a flow chart of the method for expressing search intent in this embodiment. It includes the following steps:

[0041] S1. Obtain the search content input by the user, and perform word segmentation on the search content.

[0042] In this step, search content such as keywords, logical combinations of keywords, sentences, and texts input by the user is divided to obtain word segmentation results, which are used for further concept recognition and search intent generation.

[0043] S2. Use the preset domain ontology-based knowledge graph to identify the concept of the word segmentation result, and obtain the concept label corresponding to the word segmentation result.

[0044] In this embodiment, the domain ontology in the domain ontology-based knowledge graph includes concept sets, attribute sets, individual sets, and fact sets; wherein, the attribute set...

Embodiment 3

[0065] This embodiment proposes an ontology-based search intent expression system, using the search intent expression method proposed in Embodiment 1 or Embodiment 2. Such as Figure 4 Shown is the architecture diagram of the search intent expression system of this embodiment.

[0066] The search intent expression system proposed in this embodiment includes a human-computer interaction module, a word segmentation module, a knowledge map module, a concept recognition module, a recommended word generation module, and a search intent expression generation module.

[0067] Wherein, the word segmentation module is used for word segmentation of the search content acquired by the human-computer interaction module.

[0068] The knowledge graph module stores a preset domain ontology-based knowledge graph. The domain ontology in the knowledge graph includes concept sets, attribute sets, individual sets and fact sets. Wherein, the attribute set includes data attributes and object attr...

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Abstract

The invention relates to the technical field of knowledge maps, and provides an ontology-based search intention expression method and system.The method comprises the following steps that search content input by a user is obtained, and word segmentation is conducted on the search content; performing concept recognition on the word segmentation result by using a preset domain ontology-based knowledge graph to obtain a concept tag corresponding to the word segmentation result; searching synonyms, epitaxial words and / or associated words from the domain ontology-based knowledge graph according to concept tags corresponding to word segmentation results, and displaying the synonyms, the epitaxial words and / or the associated words; the user selects target search words from the displayed synonyms, epitaxial words and / or associated words, the selected target search words are combined, and a search intention expression result is generated. According to the method, the search content input by the user is subjected to word segmentation and converted into the concepts, and the recommended word search is further performed in combination with the domain ontology-based knowledge graph, so that the word chain expression of the user intention is completely listed, and a more accurate search intention expression result is generated.

Description

technical field [0001] The present invention relates to the technical field of knowledge graphs, and more specifically, to an ontology-based search intent expression method and system. Background technique [0002] An ontology is an explicit formalized specification of a shared conceptual model (Rudi Studer, 1998). Ontologies define concepts and the relationships between concepts. Vocabulary refers to concepts, concepts are units of thinking, and people's thoughts communicate through language (lexical strings). Ontology establishes a human-like concept system for computers, enabling language communication between humans and between humans and computers based on shared concepts. Ontology is a knowledge organization method for machines to understand human language. Its application scenarios include information search, analysis, knowledge automation, knowledge management, etc., to improve the intelligence level of these scenarios. Among them, ontology can be divided into gen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35G06F16/36G06F40/295
CPCG06F16/3344G06F16/367G06F16/35G06F40/295
Inventor 胡炜梅陈丽莎陈锦毅
Owner 广州极天信息技术股份有限公司