CN105320645A - Recognition method for Chinese company name - Google Patents

Recognition method for Chinese company name Download PDF

Info

Publication number
CN105320645A
CN105320645A CN201510614480.5A CN201510614480A CN105320645A CN 105320645 A CN105320645 A CN 105320645A CN 201510614480 A CN201510614480 A CN 201510614480A CN 105320645 A CN105320645 A CN 105320645A
Authority
CN
China
Prior art keywords
name
enterprise
vocabulary
word
proper
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510614480.5A
Other languages
Chinese (zh)
Other versions
CN105320645B (en
Inventor
宋传宝
史墨轩
郝静
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
TIANJIN HYLANDA INFORMATION TECHNOLOGY CO LTD
Original Assignee
TIANJIN HYLANDA INFORMATION TECHNOLOGY CO LTD
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by TIANJIN HYLANDA INFORMATION TECHNOLOGY CO LTD filed Critical TIANJIN HYLANDA INFORMATION TECHNOLOGY CO LTD
Priority to CN201510614480.5A priority Critical patent/CN105320645B/en
Publication of CN105320645A publication Critical patent/CN105320645A/en
Application granted granted Critical
Publication of CN105320645B publication Critical patent/CN105320645B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities
    • G06F40/289Phrasal analysis, e.g. finite state techniques or chunking
    • G06F40/295Named entity recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Machine Translation (AREA)
  • Character Discrimination (AREA)

Abstract

The present invention discloses a recognition method for a Chinese company name. The method comprises the following steps: establishing a company name knowledge base and a company name probability knowledge base, wherein the company name knowledge base comprises a place name word set, a company general name word set, a profession modification word set, and a company exclusive name prohibition word set, and the company name probability knowledge base comprises probability knowledge of a company name left neighboring word and probability knowledge of a company name right neighboring word; scanning a text, and performing word segmentation on the text; and completing recognition of company names beginning with a place modification and company names without a place modification separately. Speed of file recognition can be increased by using the recognition method for the Chinese company name provided by the present invention, and accuracy of the company name recognition is improved.

Description

The recognition methods of Chinese enterprise name
Technical field
The present invention relates to the technical field of internet, is a kind of recognition methods of the Chinese enterprise name realized by determining right boundary specifically.
Background technology
Unknown word identification is a gordian technique in natural language processing, is widely used in the fields such as information extraction, information retrieval, automatic question answering, mechanical translation.When collecting the information on internet, Chinese enterprise name need be gathered, Chinese enterprise name is the one of unregistered word, have constituent complexity, enormous amount, title constantly change renewal, cannot be exhaustive etc. feature, be considered to the most indiscernible in the middle of specific term, bring very large puzzlement to natural language processing, especially translation and machine perception.
For the identification of Chinese enterprise name, domestic research mainly contains: utilize Hidden Markov Model (HMM) and join probability valuation formula evaluates the ability forming enterprise name in real text; Based on the Chinese mechanism name automatic identification algorithm of stacked conditional random field models; Based on the Chinese organization names automatic identifying method etc. of class language model.
In Chinese enterprise name, often there is multiple different word or phrase, ratio of components is abundanter, and by word and the randomness of word and the uncertainty of Name Length in enterprise name, the identifying that all result in Chinese enterprise name is comparatively difficult, and discrimination is not high yet.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of recognition methods of the Chinese enterprise name realized by determining right boundary.
The technical scheme that the present invention takes for the technical matters existed in solution known technology is:
The recognition methods of Chinese enterprise name of the present invention, comprises the following steps:
A, set up enterprise name knowledge base, comprise place name word set, enterprise's general term word set, industry decorations name word set and enterprise's proper name and forbid word set, each word set respectively correspondence comprises place name vocabulary, enterprise's vocabulary of the same name, industry decorations name vocabulary and enterprise's proper name banned word;
B, set up enterprise name probabilistic knowledge storehouse, comprise the probabilistic knowledge of individual Chinese character composition enterprise proper name;
C, scan text, carry out Chinese word segmentation to text;
D, when there is place name vocabulary in textual scan, continue its word below of scanning, if after 2-5 Chinese character, there is industry decorations name vocabulary and after industry decorations name there is enterprise's general term vocabulary in next-door neighbour time, the identification of triggering enterprise name;
E, judge whether the Chinese character between above-mentioned place name vocabulary and industry decorations name vocabulary comprises enterprise's proper name banned word, if comprised, stop identifying, do not comprise, gather and calculate the probability that these Chinese characters form enterprise's proper name, form proper name probability weight result of calculation;
F, judge whether proper name probability weight result is greater than threshold value, be greater than threshold value and then assert that current whole Chinese fragment from place name to last enterprise general term is Chinese enterprise name, be less than, stop identifying;
G, recognition result tissue export as " enterprise name with the beginning of place name decorations name ".
The recognition methods of Chinese enterprise name of the present invention, comprises the following steps:
A, set up enterprise name knowledge base, comprise place name word set, enterprise's general term word set, industry decorations name word set and enterprise's proper name and forbid word set, each word set respectively correspondence comprises place name vocabulary, enterprise's vocabulary of the same name, industry decorations name vocabulary and enterprise's proper name banned word;
B, statistics information news data obtain the left adjacent Word probability knowledge of enterprise name; Set up enterprise name probabilistic knowledge storehouse, comprise probabilistic knowledge and the left adjacent Word probability knowledge of enterprise name of individual Chinese character composition enterprise proper name;
C, scan text, carry out Chinese word segmentation to text;
D, when scanning, industry decorations noun remittance abroad is current, and whether continue scanning and be close to thereafter and occur enterprise's general term vocabulary, if next-door neighbour occurs, and current vocabulary is not identified as " enterprise name with the beginning of place name decorations name ", then trigger enterprise name identification;
E, with industry decorations name vocabulary for starting point, vocabulary is turned left scanning one by one, judges whether left side vocabulary is present in enterprise's proper name banned word, if existence, stops identification;
Chinese character in left side vocabulary in F, acquisition step e, and gather the probability of their formation enterprise proper names of weighted calculation, obtain simultaneously this vocabulary more left side word " the left adjacent Word probability of enterprise name ", according to Hidden Markov probability model, calculate the identification probability of current left side vocabulary as the whole enterprise name of proper name;
G, to continue toward left scan vocabulary, the vocabulary of vocabulary on the left of this and step e is combined and treats as enterprise's proper name, repeat step F, until proper name Chinese character number is greater than 5 terminations;
The multiple identification probabilities obtained in H, G step, reject the result that probable value is less than threshold value, select one group of maximum result, as final recognition result;
I, final recognition result tissue export.
The advantage that the present invention has and good effect are:
The recognition methods of Chinese enterprise name of the present invention, comprise the following steps: set up enterprise name knowledge base and enterprise name probabilistic knowledge storehouse, enterprise name knowledge base comprises place name word set, enterprise's general term word set, industry decorations name word set and enterprise's proper name and forbids word set, and enterprise name probabilistic knowledge storehouse comprises the left adjacent Word probability knowledge of enterprise name and the left adjacent Word probability knowledge of enterprise name; Scan text, carries out participle to text; Complete respectively with the enterprise name identification of place name decorations name beginning and the enterprise name identification without the beginning of place name decorations name.Utilize the recognition methods of Chinese enterprise name of the present invention can speed in speed up document identification, and improve the accuracy rate of enterprise name identification.
Embodiment
Below in conjunction with embodiment, the present invention is described in detail:
The recognition methods of Chinese enterprise name of the present invention, comprises the following steps:
A, set up enterprise name knowledge base, comprise place name word set, enterprise's general term word set, industry decorations name word set and enterprise's proper name and forbid word set, each word set respectively correspondence comprises place name vocabulary, enterprise's vocabulary of the same name, industry decorations name vocabulary and enterprise's proper name banned word;
B, set up enterprise name probabilistic knowledge storehouse, comprise the probabilistic knowledge of individual Chinese character composition enterprise proper name; " probabilistic knowledge of individual Chinese character composition enterprise proper name ", this is made up of more than 3600 common Chinese character, and in the business directory more than 1,000 ten thousand, statistics obtains the probability of each Chinese character composition enterprise proper name;
C, scan text, carry out Chinese word segmentation to text;
D, when there is place name vocabulary in textual scan, continue its word below of scanning, if there is industry decorations name vocabulary and after industry decorations name, next-door neighbour when there is enterprise's general term vocabulary, triggers enterprise name identification after 2-5 Chinese character (enterprise's proper name is 2-5 word normally);
E, judge whether the Chinese character between above-mentioned place name vocabulary and industry decorations name vocabulary comprises enterprise's proper name banned word, if comprised, stop identifying, do not comprise, gather and calculate the probability that these Chinese characters form enterprise's proper name, form proper name probability weight result of calculation;
F, judge whether proper name probability weight result is greater than threshold value, be greater than threshold value and then assert that current whole Chinese fragment from place name to last enterprise general term is Chinese enterprise name, be less than, stop identifying;
G, recognition result tissue export as " enterprise name with the beginning of place name decorations name ".
The recognition methods of Chinese enterprise name of the present invention, comprises the following steps:
A, set up enterprise name knowledge base, comprise place name word set, enterprise's general term word set, industry decorations name word set and enterprise's proper name and forbid word set, each word set respectively correspondence comprises place name vocabulary, enterprise's vocabulary of the same name, industry decorations name vocabulary and enterprise's proper name banned word;
B, statistics information news data obtain the left adjacent Word probability knowledge of enterprise name; Set up enterprise name probabilistic knowledge storehouse, comprise probabilistic knowledge and the left adjacent Word probability knowledge of enterprise name of individual Chinese character composition enterprise proper name;
C, scan text, carry out Chinese word segmentation to text;
D, when scanning, industry decorations noun remittance abroad is current, industry decorations name can occur multiple simultaneously, as " Tian Yuanhaoye estate agent company limited ", also place name decorations name may be there is, as " letter and wealth management of investment (Beijing) company limited ", continue to scan whether to be close to thereafter to occur enterprise's general term vocabulary, if next-door neighbour occurs, and current vocabulary is not identified as " enterprise name with the beginning of place name decorations name ", then trigger enterprise name identification;
E, with industry decorations name vocabulary for starting point, vocabulary is turned left scanning one by one, judges whether left side vocabulary is present in enterprise's proper name banned word, if existence, stops identification;
Chinese character in left side vocabulary in F, acquisition step e, and gather the probability of their formation enterprise proper names of weighted calculation, obtain simultaneously this vocabulary more left side word " the left adjacent Word probability of enterprise name ", according to Hidden Markov probability model, calculate the identification probability of current left side vocabulary as the whole enterprise name of proper name;
G, to continue toward left scan vocabulary, the vocabulary of vocabulary on the left of this and step e is combined and treats as enterprise's proper name, repeat step F, until proper name Chinese character number is greater than 5 terminations;
The multiple identification probabilities obtained in H, G step, reject the result that probable value is less than threshold value, select one group of maximum result, as final recognition result;
I, final recognition result tissue export.
The above, it is only preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, although the present invention with preferred embodiment openly as above, but, and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, certainly the technology contents of announcement can be utilized to make a little change or modification, become the Equivalent embodiments of equivalent variations, in every case be the content not departing from technical solution of the present invention, according to any simple modification that technical spirit of the present invention is done above embodiment, equivalent variations and modification, all belong in the scope of technical solution of the present invention.

Claims (2)

1. a recognition methods for Chinese enterprise name, comprises the following steps:
A, set up enterprise name knowledge base, comprise place name word set, enterprise's general term word set, industry decorations name word set and enterprise's proper name and forbid word set, each word set respectively correspondence comprises place name vocabulary, enterprise's vocabulary of the same name, industry decorations name vocabulary and enterprise's proper name banned word;
B, set up enterprise name probabilistic knowledge storehouse, comprise the probabilistic knowledge of individual Chinese character composition enterprise proper name;
C, scan text, carry out Chinese word segmentation to text;
D, when there is place name vocabulary in textual scan, continue its word below of scanning, if after 2-5 Chinese character, there is industry decorations name vocabulary and after industry decorations name there is enterprise's general term vocabulary in next-door neighbour time, the identification of triggering enterprise name;
E, judge whether the Chinese character between above-mentioned place name vocabulary and industry decorations name vocabulary comprises enterprise's proper name banned word, if comprised, stop identifying, do not comprise, gather and calculate the probability that these Chinese characters form enterprise's proper name, form proper name probability weight result of calculation;
F, judge whether proper name probability weight result is greater than threshold value, be greater than threshold value and then assert that current whole Chinese fragment from place name to last enterprise general term is Chinese enterprise name, be less than, stop identifying;
G, recognition result tissue export as " enterprise name with the beginning of place name decorations name ".
2. a recognition methods for Chinese enterprise name, comprises the following steps:
A, set up enterprise name knowledge base, comprise place name word set, enterprise's general term word set, industry decorations name word set and enterprise's proper name and forbid word set, each word set respectively correspondence comprises place name vocabulary, enterprise's vocabulary of the same name, industry decorations name vocabulary and enterprise's proper name banned word;
B, obtain the left adjacent Word probability knowledge of enterprise name by the recognition methods statistics information news data of Chinese enterprise name according to claim 1; Set up enterprise name probabilistic knowledge storehouse, comprise probabilistic knowledge and the left adjacent Word probability knowledge of enterprise name of individual Chinese character composition enterprise proper name;
C, scan text, carry out Chinese word segmentation to text;
D, when scanning, industry decorations noun remittance abroad is current, and whether continue scanning and be close to thereafter and occur enterprise's general term vocabulary, if next-door neighbour occurs, and current vocabulary is not identified as " enterprise name with the beginning of place name decorations name ", then trigger enterprise name identification;
E, with industry decorations name vocabulary for starting point, vocabulary is turned left scanning one by one, judges whether left side vocabulary is present in enterprise's proper name banned word, if existence, stops identification;
Chinese character in left side vocabulary in F, acquisition step e, and gather the probability of their formation enterprise proper names of weighted calculation, obtain simultaneously this vocabulary more left side word " the left adjacent Word probability of enterprise name ", according to Hidden Markov probability model, calculate the identification probability of current left side vocabulary as the whole enterprise name of proper name;
G, to continue toward left scan vocabulary, the vocabulary of vocabulary on the left of this and step e is combined and treats as enterprise's proper name, repeat step F, until proper name Chinese character number is greater than 5 terminations;
The multiple identification probabilities obtained in H, G step, reject the result that probable value is less than threshold value, select one group of maximum result, as final recognition result;
I, final recognition result tissue export.
CN201510614480.5A 2015-09-24 2015-09-24 The recognition methods of Chinese enterprise name Active CN105320645B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510614480.5A CN105320645B (en) 2015-09-24 2015-09-24 The recognition methods of Chinese enterprise name

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510614480.5A CN105320645B (en) 2015-09-24 2015-09-24 The recognition methods of Chinese enterprise name

Publications (2)

Publication Number Publication Date
CN105320645A true CN105320645A (en) 2016-02-10
CN105320645B CN105320645B (en) 2019-07-12

Family

ID=55248050

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510614480.5A Active CN105320645B (en) 2015-09-24 2015-09-24 The recognition methods of Chinese enterprise name

Country Status (1)

Country Link
CN (1) CN105320645B (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105955954A (en) * 2016-05-03 2016-09-21 成都数联铭品科技有限公司 New enterprise name discovery method based on bidirectional recurrent neural network
CN105975555A (en) * 2016-05-03 2016-09-28 成都数联铭品科技有限公司 Enterprise abbreviation extraction method based on bidirectional recurrent neural network
CN106570170A (en) * 2016-11-09 2017-04-19 武汉泰迪智慧科技有限公司 Text classification and naming entity recognition integrated method and system based on depth cyclic neural network
CN107748745A (en) * 2017-11-08 2018-03-02 厦门美亚商鼎信息科技有限公司 A kind of enterprise name keyword extraction method
CN108460016A (en) * 2018-02-09 2018-08-28 中云开源数据技术(上海)有限公司 A kind of entity name analysis recognition method
CN108595435A (en) * 2018-05-03 2018-09-28 鹏元征信有限公司 A kind of organization names identifying processing method, intelligent terminal and storage medium
CN109101480A (en) * 2018-06-14 2018-12-28 华东理工大学 A kind of cutting method of enterprise name, device and computer readable storage medium
WO2019041529A1 (en) * 2017-08-31 2019-03-07 平安科技(深圳)有限公司 Method, electronic apparatus, and computer readable storage medium for identifying company as subject of news report
CN110413764A (en) * 2019-06-18 2019-11-05 杭州熊猫智云企业服务有限公司 Long text enterprise name recognizer based on built in advance dictionary
CN111401083A (en) * 2019-01-02 2020-07-10 阿里巴巴集团控股有限公司 Name identification method and device, storage medium and processor

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1573923A (en) * 2003-05-27 2005-02-02 微软公司 System and method for user modeling to enhance named entity recognition
CN101093478A (en) * 2007-07-25 2007-12-26 中国科学院计算技术研究所 Method and system for identifying Chinese full name based on Chinese shortened form of entity
CN104615589A (en) * 2015-02-15 2015-05-13 百度在线网络技术(北京)有限公司 Named-entity recognition model training method and named-entity recognition method and device
CN104933152A (en) * 2015-06-24 2015-09-23 北京京东尚科信息技术有限公司 Named entity recognition method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1573923A (en) * 2003-05-27 2005-02-02 微软公司 System and method for user modeling to enhance named entity recognition
CN101093478A (en) * 2007-07-25 2007-12-26 中国科学院计算技术研究所 Method and system for identifying Chinese full name based on Chinese shortened form of entity
CN104615589A (en) * 2015-02-15 2015-05-13 百度在线网络技术(北京)有限公司 Named-entity recognition model training method and named-entity recognition method and device
CN104933152A (en) * 2015-06-24 2015-09-23 北京京东尚科信息技术有限公司 Named entity recognition method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王宁,葛瑞芳,苑春法,黄锦辉, 李文捷: "中文金融新闻中公司名的识别", 《中文信息学报》 *
赵琳瑛: "基于隐马尔科夫模型的中文命名实体识别研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105975555A (en) * 2016-05-03 2016-09-28 成都数联铭品科技有限公司 Enterprise abbreviation extraction method based on bidirectional recurrent neural network
CN105955954A (en) * 2016-05-03 2016-09-21 成都数联铭品科技有限公司 New enterprise name discovery method based on bidirectional recurrent neural network
CN106570170A (en) * 2016-11-09 2017-04-19 武汉泰迪智慧科技有限公司 Text classification and naming entity recognition integrated method and system based on depth cyclic neural network
WO2019041529A1 (en) * 2017-08-31 2019-03-07 平安科技(深圳)有限公司 Method, electronic apparatus, and computer readable storage medium for identifying company as subject of news report
CN107748745A (en) * 2017-11-08 2018-03-02 厦门美亚商鼎信息科技有限公司 A kind of enterprise name keyword extraction method
CN107748745B (en) * 2017-11-08 2021-08-03 厦门美亚商鼎信息科技有限公司 Enterprise name keyword extraction method
CN108460016A (en) * 2018-02-09 2018-08-28 中云开源数据技术(上海)有限公司 A kind of entity name analysis recognition method
CN108595435B (en) * 2018-05-03 2020-09-01 鹏元征信有限公司 Organization name recognition processing method, intelligent terminal and storage medium
CN108595435A (en) * 2018-05-03 2018-09-28 鹏元征信有限公司 A kind of organization names identifying processing method, intelligent terminal and storage medium
CN109101480A (en) * 2018-06-14 2018-12-28 华东理工大学 A kind of cutting method of enterprise name, device and computer readable storage medium
CN109101480B (en) * 2018-06-14 2022-09-06 华东理工大学 Enterprise name segmentation method and device and computer readable storage medium
CN111401083A (en) * 2019-01-02 2020-07-10 阿里巴巴集团控股有限公司 Name identification method and device, storage medium and processor
CN111401083B (en) * 2019-01-02 2023-05-02 阿里巴巴集团控股有限公司 Name identification method and device, storage medium and processor
CN110413764A (en) * 2019-06-18 2019-11-05 杭州熊猫智云企业服务有限公司 Long text enterprise name recognizer based on built in advance dictionary
CN110413764B (en) * 2019-06-18 2023-09-01 杭州熊猫智云企业服务有限公司 Long text enterprise name recognition method based on pre-built word stock

Also Published As

Publication number Publication date
CN105320645B (en) 2019-07-12

Similar Documents

Publication Publication Date Title
CN105320645A (en) Recognition method for Chinese company name
CN104102626B (en) A kind of method for short text Semantic Similarity Measurement
CN106815208A (en) The analysis method and device of law judgement document
CN107025239B (en) Sensitive word filtering method and device
CN103336766A (en) Short text garbage identification and modeling method and device
CN103970733B (en) A kind of Chinese new word identification method based on graph structure
CN104933152A (en) Named entity recognition method and device
CN104866558B (en) A kind of social networks account mapping model training method and mapping method and system
CN108363701B (en) Named entity identification method and system
CN103257957A (en) Chinese word segmentation based text similarity identifying method and device
CN104933130A (en) Comment information marking method and comment information marking device
CN107633077B (en) System and method for cleaning social media text data by multiple strategies
CN109918556B (en) Method for identifying depressed mood by integrating social relationship and text features of microblog users
CN104331523B (en) A kind of question sentence search method based on conceptual object model
CN103902733A (en) Information retrieval method based on interrogative extension
CN103853746A (en) Word bank generation method and system, input method and input system
US20160283582A1 (en) Device and method for detecting similar text, and application
CN106776678A (en) Search engine optimization technology is realized in new keyword optimization
CN103902599A (en) Fuzzy search method and fuzzy search device
Leão et al. Evolutionary patterns in the geographic range size of Atlantic Forest plants
Miller et al. From brussels to Brexit: islamophobia, xenophobia, racism and reports of hateful incidents on twitter
CN105573968A (en) Text indexing method based on rules
CN109214445A (en) A kind of multi-tag classification method based on artificial intelligence
CN104462279B (en) Analyze the acquisition methods and device of characteristics of objects information
CN102722526A (en) Part-of-speech classification statistics-based duplicate webpage and approximate webpage identification method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 300020 Tianjin Heping District, South Road, No. 11 International Building 23 purchase of Wheat

Applicant after: Tianjin mass information technology Limited by Share Ltd

Address before: 300000 Tianjin Heping District, South Road, No. 11 International Building 23 purchase of Wheat

Applicant before: Tianjin Hylanda Information Technology Co.,Ltd.

COR Change of bibliographic data
GR01 Patent grant
GR01 Patent grant