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Information query method and device and electronic equipment

An information query, a technology for querying information, applied in the fields of devices, electronic equipment, and information query methods, can solve the problems of inability to obtain query results, and inability to identify user query intentions well, and achieve the effect of improving accuracy and high accuracy

Pending Publication Date: 2019-12-24
BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the information query method in the map is through the user to input a clear query address. If it is not an address query, the user needs to specify the query intention, such as selecting a parking lot query, hotel query, bus query, etc., that is, the current map query cannot be very good. Identify the user's query intention, especially when the query information entered by the user is more complicated. For example: input "drive to the XX parking lot 500 meters east of XXX square" in the map search box, the existing map query cannot be obtained accurate query results

Method used

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  • Information query method and device and electronic equipment
  • Information query method and device and electronic equipment

Examples

Experimental program
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Effect test

Embodiment

[0067] In the embodiment of the present application, a preset thesaurus is established before information query in the map, which is used for word segmentation and word-of-interest tagging. Of course, the word segmentation and labeling of an information query method provided in this embodiment is not limited to using a preset thesaurus, and existing interest word thesaurus and existing word segmentation dictionaries in the prior art may also be used. The preset thesaurus includes multiple types of thesaurus, and each type of thesaurus contains a corresponding type of interest words. The types of interest words in the default lexicon include road words, suffix words, brand words, administrative area words, bus words, orientation words, spatial relationship words and verbs, etc.

[0068] When establishing a preset thesaurus, it is possible to classify and extract interest word thesaurus; perform classification training on input method data, map search corpus and / or web search co...

example 1

[0109] Example 1, assuming that the query information is "China Petroleum Exploration and Development Research Institute, Xueyuan Road, Haidian District, Beijing", the query information is segmented and interest words are marked: "Beijing [s] Haidian District [x] Xueyuan Road [r] China Research Institute of Petroleum Exploration and Development [k]", obtain the labeling sequence s-x-r-k, identify and obtain the sequence to meet the labeling rule ka-kb, obtain its query type is a compound query, and obtain the target entity of the user query according to the compound query, that is, the query demand is "China Research Institute of Petroleum Exploration and Development [k]", query according to the target entity to obtain and display the query results.

example 2

[0110] Example 2, assuming that the query information is "Unit 1801, Unit 4, Building 1, Wannian Huacheng, 200 meters east of the intersection of South Middle Ring Road and Old Jinci Road, Jinyuan District, Taiyuan City". In the conventional query process, the fuzzy query is performed by extracting the relevant text of the POI, but there are often unmatched corresponding query results, resulting in query failure. In this embodiment, word segmentation and tagging are first performed on the query, and then query classification is performed to obtain the query type, that is, the query intention is extracted, so as to improve the accuracy of the query. Word segmentation and annotation processing: "Taiyuan [c] Jinyuan District [x] South Central Ring [r] and [p] Old Jinci Road [r] intersection [ra1] east [i] 200 [n] meters [a16] Lunan [i] Wannian Huacheng [k] Building 1 [na6] Unit 4 [na5] 1801 [n]"; query classification to obtain query type: the label sequence includes "i-n-a16-i", ...

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Abstract

The invention discloses an information query method and device and electronic equipment. The map query method comprises the steps of performing word segmentation on query information input by a user to obtain a word segmentation result; performing interest word labeling on the word segmentation result to obtain an labeling sequence, the labeling sequence being used for representing the type of each interest word contained in the word segmentation result; performing intention identification on the query information according to a preset labeling identification rule and the labeling sequence toobtain a query type corresponding to the query information; and querying the query information in a map according to the query type, and obtaining and displaying a query result. According to the technical scheme, the query type is obtained through interest word labeling and intention recognition, the query intention of the user is represented through the query type, map query is carried out accordingly, the technical problem that in the prior art, the map query accuracy of complex query information is low is solved, and the map query accuracy is improved.

Description

technical field [0001] The invention relates to the field of software technology, in particular to an information query method, device and electronic equipment. Background technique [0002] With the continuous development and improvement of the map application, it not only provides comprehensive location search, real-time traffic conditions, but also provides reasonable route planning and navigation, which provides great help for people's daily life travel. [0003] At present, the information query method in the map is through the user to input a clear query address. If it is not an address query, the user needs to specify the query intention, such as selecting a parking lot query, hotel query, bus query, etc., that is, the current map query cannot be very good. Identify the user's query intention, especially when the query information entered by the user is more complicated. For example: input "drive to the XX parking lot 500 meters east of XXX square" in the map search b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06F16/9537G06F17/27
Inventor 谭鑫
Owner BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD
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