CN102185927A - Knowledge-as-service cloud computing platform - Google Patents

Knowledge-as-service cloud computing platform Download PDF

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Publication number
CN102185927A
CN102185927A CN2011101452411A CN201110145241A CN102185927A CN 102185927 A CN102185927 A CN 102185927A CN 2011101452411 A CN2011101452411 A CN 2011101452411A CN 201110145241 A CN201110145241 A CN 201110145241A CN 102185927 A CN102185927 A CN 102185927A
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China
Prior art keywords
business
data
knowledge
platform
flow
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Pending
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CN2011101452411A
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Chinese (zh)
Inventor
王琪
罗峰
黄苏支
李娜
张玉波
阎飞飞
刘书良
刘生
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BEIJING IZP TECHNOLOGIES Co Ltd
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BEIJING IZP TECHNOLOGIES Co Ltd
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Priority to CN2011101452411A priority Critical patent/CN102185927A/en
Publication of CN102185927A publication Critical patent/CN102185927A/en
Priority to CN201110457132.3A priority patent/CN102594870B/en
Pending legal-status Critical Current

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Abstract

The invention discloses a knowledge-as-a-service cloud computing platform, comprising a physical facility layer for bearing platform software, a platform layer, a control interface layer and an application layer, wherein the platform layer comprises a data collection platform for collecting original data; the control interface layer comprises a commercial intelligent system, a data analysis system and a data mining system; the commercial intelligent system comprises a data report system which is used for carrying out statistics on the original data collected by the data collection platform to generate a report; the data analysis system is used for analyzing and calculating the report in the data report system and then converting the report into information; the data mining system is used for mining the information in the data analysis system and then converting the information into knowledge; and the application layer comprises a system for providing an intelligent service function based on the knowledge in the commercial intelligent system in the control interface layer. The knowledge-as-a-service cloud computing platform can collect behavioral data of a large number of users from internet, and then analyze and mine the data to obtain user knowledge, as well as provide the knowledge for a third-party client to use by an open interface.

Description

A kind of knowledge is promptly served cloud computing platform
Technical field
The present invention relates to the cloud computing field, relate in particular to a kind of knowledge services cloud computing platform technology that can buy as required by the user that realizes based on layering.
Background technology
Cloud computing is a kind of revolutionary computation model, because it makes supercomputing capability become possibility by the Internet free flow.Enterprise and personal user need not to drop into expensive hardware acquisition cost again, only need buy the lease computing power by the Internet.
Mainly contain following several service mode at present:
SAAS:SaaS is the abbreviation of Software-as-a-service (software is promptly served), it provides the pattern of software by Internet, the user need not buy software again, rent software and change into based on Web to provider, come the management enterprise business activities, and need not software is safeguarded that the service provider understands full powers and administers and maintains software
PAAS:PaaS is the abbreviation of Platform-as-a-service (platform is promptly served), framework provides the foundation, the software developer can build new application on this architecture, perhaps expand existing application, but needn't buy exploitation, quality control simultaneously or produce server.
IAAS:IAAS is the abbreviation of Infrastructure-as-a-service (architecture is promptly served), provides data center, architecture hardware and software resource by the Internet.IaaS can provide server, operating system, disk storage, database and/or information resources.
Existing cloud computing platform framework only provides the service of using based on hardware foundation framework and software, and the user rents the hardware foundation framework or rents software based on web to software supplier, thereby constitutes the system of oneself.Available some physical resources that remain of present system are as hardware and software.And user's actual needs is customizing messages and knowledge, and based on existing cloud computing system, the user still wants oneself carry out data collection, filtration, storage, excavation, processing, execution.Even adopt existing cloud computing framework, the user still need rent huge calculating storage resources and have the relevant knowledge of the data/information processing of specialty, and these requirements are very difficult concerning medium-sized and small enterprises.
Summary of the invention
The object of the present invention is to provide a kind of collection, filtration, storage, excavation, the processing that can finish data, it is the required knowledge of user that initial data is refined, and knowledge is promptly served cloud computing platform as the knowledge that final service offers the user.
To achieve these goals, the technical solution used in the present invention is as follows:
Knowledge of the present invention is promptly served cloud computing platform and is comprised, comprising:
Physical facility layer: be used for carrying platform software;
Podium level: comprise the data collection platform that is used to collect initial data;
Control interface layer: comprise business intelligence system, described business intelligence system comprises adds up the data report system that generates form to the initial data of described data collection platform collection, carry out analytical calculation and be converted into the data analysis system of information based on the form in the described data report system, the information in the data analysis system is excavated and is converted into the data digging system of knowledge;
Application layer: comprise that the knowledge based on business intelligence system in the control interface layer provides intelligence service function system.
Preferably, described control interface layer also comprises the business process management system that is used to carry out the business that the upper layer application layer issues, described podium level also comprises the control of accepting business process management system in the control interface layer of upper strata, carry out the business of corresponding business and carry out platform, functional service system in the described application layer is accepted the business that the user formulates according to business intelligence system and is sent to described business process management system, and described business process management system decomposes business and is issued to the described professional platform of carrying out and carries out.
Preferably, described business process management system comprises flow engine, flow process MBM, flow process deployment module, flow monitoring and administration module;
Described business process management system receives the business that upper layer application issues, at first the identity function of different business is resolved into the business module of loose coupling, the model workflow diagram of on the basis of the business module of loose coupling relation, drawing by the flow process MBM; The customization of operation flow rule and the type definition of flow process metadata are provided, on this basis by cross-correlation setting to setting, operation flow and the system user of the definition of business form flow process, list attribute, finish the Work flow model of business rule complexity fully, set up and support the huge and complicated service flow process of data;
Flow process deployment module response user's business demand, the composition module in the deployment business;
Flow monitoring and administration module can carry out the processing of flow process business at the workflow application deployment later on, and workflow is carried out bookkeeping efficiently;
Business process engine is responsible for the management and control of operation flow rule parsing, flow process, the various requests of processing client.
Beneficial effect of the present invention is as follows:
Knowledge of the present invention is promptly served cloud computing platform, can collect the Internet behavioral data of mass users, obtain user knowledge by data analysis and excavation, and this knowledge offered third party client by open interface, making it carry out commercial propaganda and service of goods targetedly according to user knowledge provides, and the user can be found fast be fit to the product of oneself needs in a large amount of products ﹠ services.
Description of drawings
Fig. 1 promptly serves the cloud computing platform structured flowchart for knowledge of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments technical scheme of the present invention and beneficial effect are further set forth.
Referring to accompanying drawing 1, knowledge of the present invention is promptly served cloud computing platform and is divided into four layers, the bottom is the physical facility layer, be used for carrying platform software, for platform software provides computational resource, storage resources, Internet resources, data collection platform in the podium level directly utilizes the network equipment in the physical facility layer to carry out data acquisition, by computational resource the data of collecting are filtered, handle, statistics, by storage resources data are stored, data passes after the processing is given the data report system in the control interface layer, generate form, by data analysis system the data in the form are carried out computing then and obtain relevant information, these information are used for data digging system and therefrom excavate relevant knowledge, the final data digging system offers the third party by upper layer application with knowledge, certainly, also can be according to the form of third-party demand with the data report system generation, the information that obtains in the data analysis system offers the third party, the third party can oneself utilize the business module of oneself to carry out according to the knowledge arrangement corresponding business that obtains, also can utilize system of the present invention, with the business process management system of sending down service, be handed down to the professional platform of carrying out by business process management system again and carry out to the control interface layer.
Below by two embodiment knowledge of the present invention promptly being served cloud computing platform further sets forth.
Embodiment 1 is that a feature and a preference with the Internet user offers the third party as knowledge, makes it push advertisement more accurately according to this knowledge, and is specific as follows:
S01: dispose data acquisition node in the communication network on-position, each data acquisition node filters the data of collecting, handle, send to knowledge after the calculating and promptly serve cloud computing platform, knowledge is promptly served cloud computing platform can carry out storage and the calculating and the excavation of information by the mode of cloud computing; Data collection platform in the platform is according to terminal use's unified person identifier acquisition terminal user's online behavioral data, and this sign can be IP address, online account number etc.;
S02: data collection platform is given data report system with the data passes that collects, generate form by data report system, data analysis system carries out analytical calculation according to preset rule to the data in the form again and obtains relevant information, data digging system excavates this information, analyze Internet user's feature and preference, the user is concluded different interest group classification, form user characteristics and behavior preference knowledge.
S03: the upper layer application of platform provides user characteristics and behavior preference knowledge by open interface to the advertiser.
S04: user characteristics and behavior preference knowledge scheduling correspondent advertisement that the advertiser provides according to platform;
S05: the advertiser can utilize the system of oneself to carry out the input of advertisement voluntarily, the professional executive system that also can utilize platform to provide is carried out advertising business, at this moment, the instruction that the advertiser will carry out advertising business by upper layer application is issued to the business process management system of control interface layer, flow engine in the business process management system carries out the advertising business rule parsing, control advertisement putting strategy, examining of each link of flow process, leading subscriber and financial flow process, and pass through the flow process deployment module advertisement putting policy distribution is carried out platform to the business of podium level, the business of podium level is carried out input and the displaying that platform carries out advertisement.
Embodiment two is that a preference at the user judges that user's purchase intention also represents the example of commodity on this basis to it in ecommerce, and is specific as follows:
S11: dispose data acquisition node at B2B or B2C electronic emporium, each data acquisition node filters the data of collecting, handle, send to knowledge after the calculating and promptly serve cloud computing platform, knowledge is promptly served cloud computing platform can carry out storage and the calculating and the excavation of information by the mode of cloud computing; Collect user's the behavior of browsing according to user's unified person identifier, this sign can be IP address, online account number etc.;
S12: data collection platform is given data report system with the data passes that collects, generate form by data report system, data analysis system carries out analytical calculation according to preset rule to the data in the form again and obtains relevant information, data digging system excavates this information, analyze Internet user's feature and preference, form user characteristics and behavior preference knowledge, the purchase intention of predictive user;
S13: provide user characteristics and behavior preference knowledge to e-commerce website by open interface;
S14: user characteristics that e-commerce website provides according to platform and behavior preference knowledge are judged user's purchase intention;
S15: e-commerce website can utilize the system drive process of purchase of oneself voluntarily, also can utilize the flow engine of control interface layer to drive process of purchase, at this moment, the instruction that the advertiser will drive process of purchase by upper layer application is issued to the business process management system of control interface layer, flow engine in the business process management system carries out process of purchase and resolves, the control commodity represent strategy, and by the flow process deployment module commodity are represented policy distribution and carry out platform to the business of podium level, professional execution platform is dispatched according to consumer taste the commodity in the store and is represented, finally present personalized electronic bin for each user, be the commodity brand that each user sees, it is all customized for the user to put in order.

Claims (3)

1. knowledge is promptly served cloud computing platform, it is characterized in that, comprising:
Physical facility layer: be used for carrying platform software;
Podium level: comprise the data collection platform that is used to collect initial data;
Control interface layer: comprise business intelligence system, described business intelligence system comprises adds up the data report system that generates form to the initial data of described data collection platform collection, carry out analytical calculation and be converted into the data analysis system of information based on the form in the described data report system, the information in the data analysis system is excavated and is converted into the data digging system of knowledge;
Application layer: comprise that the knowledge based on business intelligence system in the control interface layer provides intelligence service function system.
2. knowledge according to claim 1 is promptly served cloud computing platform, it is characterized in that: described control interface layer also comprises the business process management system that is used to carry out the business that the upper layer application layer issues, described podium level also comprises the control of accepting business process management system in the control interface layer of upper strata, carry out the business of corresponding business and carry out platform, intelligent service system in the described application layer is accepted the business that the user formulates according to business intelligence system and is sent to described business process management system, and described business process management system decomposes business and is issued to the described professional platform of carrying out and carries out.
3. knowledge base service cloud computing platform according to claim 1, it is characterized in that: described business process management system comprises flow engine, flow process MBM, flow process deployment module, flow monitoring and administration module;
Described business process management system receives the business that upper layer application issues, at first the identity function of different business is resolved into the business module of loose coupling, the model workflow diagram of on the basis of the business module of loose coupling relation, drawing by the flow process MBM; The customization of operation flow rule and the type definition of flow process metadata are provided, on this basis by cross-correlation setting to setting, operation flow and the system user of the definition of business form flow process, list attribute, finish the Work flow model of business rule complexity fully, set up and support the huge and complicated service flow process of data;
Flow process deployment module response user's business demand, the composition module in the deployment business;
Flow monitoring and administration module can carry out the processing of flow process business at the workflow application deployment later on, and workflow is carried out bookkeeping efficiently;
Business process engine is responsible for the management and control of operation flow rule parsing, flow process, the various requests of processing client.
CN2011101452411A 2011-05-31 2011-05-31 Knowledge-as-service cloud computing platform Pending CN102185927A (en)

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Open date: 20110914