CN107580036A - The method of the adaptive single-point acquiring of industry information service - Google Patents

The method of the adaptive single-point acquiring of industry information service Download PDF

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Publication number
CN107580036A
CN107580036A CN201710749557.9A CN201710749557A CN107580036A CN 107580036 A CN107580036 A CN 107580036A CN 201710749557 A CN201710749557 A CN 201710749557A CN 107580036 A CN107580036 A CN 107580036A
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China
Prior art keywords
service
industry
collection
attribute
point acquiring
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CN201710749557.9A
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Chinese (zh)
Inventor
张麒
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Chengdu Rong Micro Software Service Co Ltd
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Chengdu Rong Micro Software Service Co Ltd
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Priority to CN201710749557.9A priority Critical patent/CN107580036A/en
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Abstract

The invention discloses a kind of method of the adaptive single-point acquiring of industry information service, and by establishing unified storage service framework, each business platform and mobile terminal information sharing passage are got through in a manner of uniform service, makes section's automation collaborative process between each operation system;Using unified storage service framework as intermediary, the identification and extraction of element are acquired to industry target in each service system, utilize BP neural network model training single-point acquiring deep learning device, profession attribute templates collection is built, is write the collection element extracted in industry service attribute template set by single-point acquiring deep learning device;The mapping relations for establishing collection element and profession attribute are configured by profession attribute templates collection, using profession attribute templates collection and Simhash algorithms to collection element denoising, duplicate removal, by in the collection element write-in industry service attribute template set after processing, profession attribute templates collection is set to be adapted to automatically when for different industries client and objective optimization.

Description

The method of the adaptive single-point acquiring of industry information service
Technical field
The invention belongs to industry information acquisition field, is related to a kind of method of the adaptive single-point acquiring of industry information service.
Background technology
Under the market background of contemporary high intensity industry competition, it is unbeaten based on itself to obtain industry information in time Important step.In each industrial chain, from sale is fabricated onto again to each link after sale, their demand is all different, I Need to analyze which main department's information needed has according to different department's demands.According to different department's demand analyses Draw, in addition to market survey, it is necessary to it is more accurate, understand rival in depth, to formulate effective competition strategy, business decision The foundation made reference.Competitive intelligence, is the information on competitive environment, rival and competitive strategy and research, and it is both one Kind process, is a kind of product again;Process includes the collection and analysis to competition information;Product, including the information that is consequently formed or Strategy.Its core content is collection and analysis to rival's information, is information and counter-intelligence technology.It is that enterprise participates in city The navigation of field competition, is the good plan known the enemy and know yourself, and you can fight a hundred battles without defeat in commercial struggle.
The content of the invention
The purpose of the present invention is that to solve the above problems and provides a kind of adaptive single-point of industry information service and adopt The method of collection.
The present invention is achieved through the following technical solutions above-mentioned purpose:
A kind of method of the adaptive single-point acquiring of industry information service, comprises the following steps:
1) unified storage service framework is established, realizes that industry Information Service System, public sentiment service system, wechat are public with support Crowd's Monitoring and Service System, industry customer information APP service systems can use under unified service mode, with uniform service Mode gets through each business platform and mobile terminal information sharing passage, makes section's automation collaborative process between each operation system;
2) industry information service adaptively gathers, using unified storage service framework as intermediary, to row in each service system Industry target is acquired the identification and extraction of element, utilizes BP neural network model training single-point acquiring deep learning device, structure Profession attribute templates collection, the collection element extracted is write by industry service attribute by single-point acquiring deep learning device In template set, make profession attribute templates collection for possessing automatic adapt to and objective optimization adjustment during different industries client Characteristic;
3) industry information service adaptive cleaning, configured by profession attribute templates collection and establish collection element and industry The mapping relations of service attribute, will using profession attribute templates collection and Simhash algorithms to collection element denoising, duplicate removal In collection element write-in industry service attribute template set after processing.
Preferably, when being acquired the identification and extraction of element to industry target, operation keyword and correlation are supported The general search of search attribute and self-defined Advanced Search, realize that reusable customization big data retrieves work(by Subject Manager Can, parameter training and optimization are carried out using Distributed Calculation and storage, to solve the Ambiguity in language.
Preferably, unified storage service framework is the data communication developed based on big data application and database access Application framework .net Remoting, WebService, Socket mechanism are incorporated, and fusion there are HTTP technologies.
Specifically, the .net Remoting are a kind of distributed processing mode, and Distributed Component Object pattern is upgraded After be fused under .Net platforms.
Specifically, the Socket is DLL, for two programs to be passed through into a two-way communication connection passage Realize the exchange of data.
Specifically, the collection element includes tag attributes and hierarchical control attribute.
The beneficial effects of the present invention are:
The present invention accurately can gather industry information on a variety of different service platforms, have single-point acquiring depth Learning functionality, profession attribute templates collection is built with, newest collection element can be write in time, itself can be improved constantly Information collecting capacity.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the method for the adaptive single-point acquiring of industry information service of the present invention;
Fig. 2 is the schematic flow sheet of the adaptive acquisition technique of industry information service in the present invention;
Fig. 3 is the schematic flow sheet of industry information service adaptive cleaning technology in the present invention;
Embodiment
The invention will be further described below in conjunction with the accompanying drawings:
With reference to shown in Fig. 1, Fig. 2 and Fig. 3, the method for the adaptive single-point acquiring of industry information service of the present invention, including Unified storage service framework, the adaptive acquisition technique of industry information service, industry information service adaptive cleaning technology, are being carried out During target retrieval, the subject search technology based on operator multi-key word can be used.
Unified storage service framework
It is the volume of data communication developed based on big data application and the application program of database access by our company Framework .net Remoting, WebService, Socket mechanism are incorporated, and merge the correlation technique for having HTTP, in skill There is the advantages such as uniformity, interoperability, compatibility in art;It is sustainable to realize our company's industry information service platform, public sentiment clothes The systems such as platform, wechat public number monitoring service, industry customer's information APP of being engaged in are used with unified service mode, are taken with unified Business mode gets through related service platform and mobile terminal information sharing passage, efficiently automates collaborative process between offer operation system Ability, so that information service personnel reduce low-level operation, lifting services efficiency in information management.
.net Remoting is a kind of distributed processing mode, is fused to after Distributed Component Object pattern is upgraded .Net under platform..net Remoting provides a kind of permission object by Application Domain and another pair as interacting Framework, in Windows operating system, it by separate is single process to be, this process forms application program Border together around code and data, if not using interprocess communication (RPC) mechanism, the generation performed in a process Code cannot access another process, and this is a kind of protection mechanism of operating system to application program, but in some cases, I Need across Application Domain, communicated, that is, passed across the border with other Application Domain;.net Remoting can be with The mode of service carrys out publisher server object, and code may operate on server (such as object and client of server activation The object of activation), then client obtains the service object and by serializing in visitor again by Remoting connection servers Run at family end;.net Remoting can be right in Remoting by loose couplings of the client and server end about object In the object to be transmitted, designer is except it should be understood that in addition to the type and port numbers of passage, without understanding the lattice of packet again Formula, this both ensure that loose couplings of the client and server end about object, while also optimize the performance of communication.
Two programs on network realize the exchange of data by a two-way communication connection, and one end of this connection claims For a socket, establish network service connection and at least want a pair of port numbers, socket essence is DLL (API), right TCP/IP encapsulation, TCP/IP, which will also be provided, is available for programmer to do the interface used in network development, and here it is Socket programmings to connect Mouthful.
The adaptive acquisition technique of industry information service
Using unified storage service framework as intermediary, the automatic knowledge of element is acquired to industry target in each service system Not and extraction, collection element include tag attributes and hierarchical control (such as page turning) attribute;Due to being from lower past in particular range Upper structure collection knowledge hierarchy, can utilize BP neural network model training single-point by continuous technological accumulation or model training Sampling depth learner, build profession attribute templates collection, the collection that will be extracted by single-point acquiring deep learning device In element write-in industry service attribute template set, make profession attribute templates collection automatic for possessing during different industries client Adapt to the characteristic with objective optimization adjustment.
Industry information service adaptive cleaning technology
The mapping relations for establishing collection element and profession attribute are configured by profession attribute templates collection, using row Collection element after processing is write industry industry by industry service attribute template set and Simhash algorithms to collection element denoising, duplicate removal Attribute templates of being engaged in are concentrated, and make profession attribute templates collection for possessing automatic adaptation and objective optimization during different industries client The characteristic of adjustment.
Subject search technology based on operator multi-key word
When being acquired the identification and extraction of element to industry target, operation keyword and relevant search attribute are supported General search and self-defined Advanced Search, reusable customization big data search function is realized by Subject Manager;Examine simultaneously Consider and modeled by theme, carry out parameter training and optimization using Distributed Calculation and storage, the ambiguity effectively solved in language shows As (synonym and polysemant cause), the semantic search of design Classification Oriented and retrieval, wherein including parameter training module, text Word-dividing mode, topic identification module and semantic relevancy computing module, pass through modeling, the keyword identification of semantic layer and search As a result ranking lifts the precision ratio of search system and recall ratio.
These are only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and All any modification, equivalent and improvement made within principle etc., should be included within the scope of the present invention.

Claims (6)

  1. A kind of 1. method of the adaptive single-point acquiring of industry information service, it is characterised in that comprise the following steps:
    1) unified storage service framework is established, industry Information Service System, public sentiment service system, wechat public number are realized with support Monitoring and Service System, industry customer information APP service systems can use under unified service mode, in a manner of uniform service Each business platform and mobile terminal information sharing passage are got through, makes section's automation collaborative process between each operation system;
    2) industry information service adaptively gathers, using unified storage service framework as intermediary, to industry mesh in each service system Mark is acquired the identification and extraction of element, using BP neural network model training single-point acquiring deep learning device, builds industry Service attribute template set, the collection element extracted is write by industry service attribute template by single-point acquiring deep learning device Concentrate, make profession attribute templates collection for possessing the automatic spy adapted to objective optimization adjustment during different industries client Property;
    3) industry information service adaptive cleaning, configured by profession attribute templates collection and establish collection element and profession The mapping relations of attribute, using profession attribute templates collection and Simhash algorithms to collection element denoising, duplicate removal, it will handle In collection element write-in industry service attribute template set afterwards.
  2. 2. the method for the adaptive single-point acquiring of industry information service according to claim 1, it is characterised in that to industry When target is acquired the identification and extraction of element, operation keyword and the general search of relevant search attribute and self-defined are supported Advanced Search, reusable customization big data search function is realized by Subject Manager, using Distributed Calculation and is stored in Row parameter training and optimization, to solve the Ambiguity in language.
  3. 3. the method for the adaptive single-point acquiring of industry information service according to claim 1, it is characterised in that unified storage Service framework is the data communication and database access application framework developed based on big data application, incorporates .net Remoting, WebService, Socket mechanism, and fusion has HTTP technologies.
  4. 4. the method for the adaptive single-point acquiring of industry information service according to claim 3, it is characterised in that the .net Remoting is a kind of distributed processing mode, is fused to after Distributed Component Object pattern is upgraded under .Net platforms.
  5. 5. the method for the adaptive single-point acquiring of industry information service according to claim 3, it is characterised in that described Socket is DLL, for two programs to be realized to the exchange of data by a two-way communication connection passage.
  6. 6. the method for the adaptive single-point acquiring of industry information service according to claim 1, it is characterised in that the collection Element includes tag attributes and hierarchical control attribute.
CN201710749557.9A 2017-08-28 2017-08-28 The method of the adaptive single-point acquiring of industry information service Pending CN107580036A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110288001A (en) * 2019-05-28 2019-09-27 西南电子技术研究所(中国电子科技集团公司第十研究所) Target identification method based on the training study of target data feature

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US20120143931A1 (en) * 2009-02-17 2012-06-07 Tagle Information Technology Inc. Context-aware folders
CN104063411A (en) * 2013-09-12 2014-09-24 江苏金鸽网络科技有限公司 Enterprise intelligence gathering method based on Michael Porter's Five Forces Model
CN104573016A (en) * 2015-01-12 2015-04-29 武汉泰迪智慧科技有限公司 System and method for analyzing vertical public opinions based on industry
CN105447081A (en) * 2015-11-04 2016-03-30 国云科技股份有限公司 Cloud platform-oriented government affair and public opinion monitoring method
CN106126623A (en) * 2016-06-23 2016-11-16 北京百纳威尔无线通信设备有限公司 Information processing method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120143931A1 (en) * 2009-02-17 2012-06-07 Tagle Information Technology Inc. Context-aware folders
CN104063411A (en) * 2013-09-12 2014-09-24 江苏金鸽网络科技有限公司 Enterprise intelligence gathering method based on Michael Porter's Five Forces Model
CN104573016A (en) * 2015-01-12 2015-04-29 武汉泰迪智慧科技有限公司 System and method for analyzing vertical public opinions based on industry
CN105447081A (en) * 2015-11-04 2016-03-30 国云科技股份有限公司 Cloud platform-oriented government affair and public opinion monitoring method
CN106126623A (en) * 2016-06-23 2016-11-16 北京百纳威尔无线通信设备有限公司 Information processing method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110288001A (en) * 2019-05-28 2019-09-27 西南电子技术研究所(中国电子科技集团公司第十研究所) Target identification method based on the training study of target data feature
CN110288001B (en) * 2019-05-28 2023-09-05 西南电子技术研究所(中国电子科技集团公司第十研究所) Target recognition method based on target data feature training learning

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