CN105912603B - Service query method and device for network space - Google Patents
Service query method and device for network space Download PDFInfo
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Abstract
The invention provides a method and a device for inquiring network space services. According to the embodiment of the invention, the service query requirement of the network space is obtained, the query parameter is contained in the service query requirement, and the query model is further obtained according to the service query requirement, so that the service query result can be obtained by utilizing the query model according to the query parameter.
Description
[ technical field ] A method for producing a semiconductor device
The present invention relates to communications technologies, and in particular, to a method and an apparatus for querying a service in a network space.
[ background of the invention ]
With the continuous development of internet technology, various network spaces, such as blogs, microblogs, posts and other network communities, are gradually popularized, and become a main channel for people to communicate and communicate information. Taking the network community as an example, in order to facilitate a user to quickly and accurately obtain information of interest from massive network community information, the existing network community is usually subdivided into a plurality of community sections. Each tile has a specific theme, such as a constellation, game, shopping, patents, etc., for storing community information related to those themes.
Generally, for the service query requirement of each network space, calculation processing is performed based on the basic log of the network space, i.e., the network space data, to obtain a service query result, so that the operation of service query processing is complicated and errors are easily generated, thereby reducing the efficiency and reliability of service query.
[ summary of the invention ]
Aspects of the present invention provide a method and an apparatus for querying a service in a network space, so as to improve efficiency and reliability of querying the service in the network space.
One aspect of the present invention provides a method for querying a service in a network space, including:
acquiring a service query requirement of a network space, wherein the service query requirement comprises a query parameter;
obtaining a query model according to the service query requirement;
and obtaining a service query result by utilizing the query model according to the query parameters.
The above-mentioned aspects and any possible implementation manner further provide an implementation manner, before obtaining a query model according to the service query requirement, the method further includes:
acquiring network space data;
acquiring basic query data according to the network space data;
obtaining multidimensional query data of at least two entity dimensions according to the basic query data;
obtaining entity characteristic data according to the multidimensional query data;
and constructing the query model according to the multidimensional query data and the entity characteristic data.
The above-described aspect and any possible implementation manner further provide an implementation manner, where obtaining multidimensional query data of at least two entity dimensions according to the basic query data includes:
obtaining a core service entity and a related service entity according to the basic query data;
and acquiring multidimensional query data at least taking the core service entity and the related service entity as entity dimensions according to the core service entity, the related service entity and the basic query data.
The above-described aspect and any possible implementation manner further provide an implementation manner, where obtaining entity feature data according to the multidimensional query data includes:
and acquiring the entity characteristics of the core business entity, the entity characteristics of the related business entity and the relationship characteristics between the core business entity and the related business entity by utilizing a preset statistical strategy according to the multidimensional query data.
The above-described aspect and any possible implementation manner further provide an implementation manner, where after the constructing the query model according to the multidimensional query data and the entity feature data, the constructing the query model further includes:
and storing by adopting a HOLAP mode, and storing the query model.
The above-described aspects and any possible implementations further provide an implementation in which the cyber space includes a web community.
In another aspect of the present invention, an apparatus for querying a service in a network space is provided, including:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring service query requirements of a network space, and the service query requirements comprise query parameters;
the model unit is used for acquiring a query model according to the service query requirement;
and the service unit is used for acquiring a service query result by utilizing the query model according to the query parameters.
The above-mentioned aspects and any possible implementation further provide an implementation, and the model unit is further configured to
Acquiring network space data;
acquiring basic query data according to the network space data;
obtaining multidimensional query data of at least two entity dimensions according to the basic query data;
obtaining entity characteristic data according to the multidimensional query data; and
and constructing the query model according to the multidimensional query data and the entity characteristic data.
The above-described aspects and any possible implementations further provide an implementation of the model unit, in particular for use in
Obtaining a core service entity and a related service entity according to the basic query data; and
and acquiring multidimensional query data at least taking the core service entity and the related service entity as entity dimensions according to the core service entity, the related service entity and the basic query data.
The above-described aspects and any possible implementations further provide an implementation of the model unit, in particular for use in
And acquiring the entity characteristics of the core business entity, the entity characteristics of the related business entity and the relationship characteristics between the core business entity and the related business entity by utilizing a preset statistical strategy according to the multidimensional query data.
The above-mentioned aspects and any possible implementation further provide an implementation, and the model unit is further configured to
And storing by adopting a HOLAP mode, and storing the query model.
The above-described aspects and any possible implementations further provide an implementation in which the cyber space includes a web community.
According to the technical scheme, the business query requirement of the network space is obtained, the query parameter is contained in the business query requirement, the query model is further obtained according to the business query requirement, the business query result can be obtained by utilizing the query model according to the query parameter, and the query model can be directly obtained without performing calculation processing on the basis of the basic log of the network space, namely the network space data, each time, so that the operation of business query processing is simple, the accuracy is high, and the efficiency and the reliability of business query are improved.
In addition, by adopting the technical scheme provided by the invention, the query model can be directly obtained without performing calculation processing on the basis of the basic log of the network space, namely the network space data, each time, so that the situation of data repeated calculation can be avoided, the processing resource is saved, and the processing load is reduced.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the embodiments or the prior art descriptions will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a service query method of a network space according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a service query device in a network space according to another embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terminal according to the embodiment of the present invention may include, but is not limited to, a mobile phone, a Personal Digital Assistant (PDA), a wireless handheld device, a Tablet Computer (Tablet Computer), a Personal Computer (PC), an MP3 player, an MP4 player, a wearable device (e.g., smart glasses, smart watch, smart bracelet, etc.), and the like.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Fig. 1 is a flowchart illustrating a service query method of a network space according to an embodiment of the present invention, as shown in fig. 1.
101. And acquiring a service query requirement of a network space, wherein the service query requirement comprises a query parameter.
The network space may include, but is not limited to, a network space or a non-network space, which is not particularly limited in this embodiment.
102. And obtaining a query model according to the service query requirement.
103. And obtaining a service query result by utilizing the query model according to the query parameters.
It should be noted that part or all of the execution subjects 101 to 103 may be an application located at the local terminal, or may also be a functional unit such as a plug-in or Software Development Kit (SDK) set in the application located at the local terminal, or may also be a processing engine located in a grid-side server, or may also be a distributed system located at a grid side, which is not particularly limited in this embodiment.
It is to be understood that the application may be a native app (native app) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, and this embodiment is not particularly limited thereto.
Therefore, by acquiring the service query requirement of the network space, wherein the service query requirement comprises the query parameter, and further acquiring the query model according to the service query requirement, the query model can be utilized to acquire the service query result according to the query parameter, and the query model can be directly acquired without performing calculation processing on the basis of the basic log of the network space, namely the network space data, each time, so that the operation of service query processing is simple, the accuracy is high, and the efficiency and the reliability of service query are improved.
In the invention, a big data value application seven-layer architecture model is introduced by comprehensively applying a plurality of technical core ideas such as big data log Processing, Extraction, Transformation and Loading (ETL) of a data warehouse, On-Line Analytical Processing (OLAP) of a business intelligent data cube, general statistics, data mining and the like and combining abstraction of business data practical experience of a network space. The large data value application seven-layer architecture model is not only suitable for the large data value output of the network space, but also suitable for the large data value output mode of other internet industries. The seven-layer architecture model applied to the big data value can be divided into seven logical layers, namely a data layer, a warehouse layer, a multi-dimensional layer, a characteristic layer, a model layer, a service layer and an application layer, according to the flow from the acquisition of the basic log of the original network space, namely the network space data, to the final output of the data.
Specifically, in 101, the service query requirement of the network space may be obtained by an application layer in the seven-layer architecture model applied by the big data value. In the application layer, the model customization development and generation can be flexibly and conveniently completed on the basis of the service layer according to the unnecessary business scene requirements. The service query requirement includes query parameters, such as community name, query date, terminal type, and the like. In 102, a query model may be obtained from a model layer according to the service query requirement. Specifically, a hybrid OLAP (hybrid OLAP) mode can be used for storage, the query model is stored in a model layer, and the HOLAP mode fully combines the advantages of a relational OLAP (relational OLAP) mode and a multidimensional OLAP (multi-dimensional OLAP) mode, and particularly when the architecture is different from a traditional business intelligent system architecture, a data source of the HOLAP mode is based on two data source data of the ROLAP mode and a machine learning entity feature library, so that the requirements of various complex analysis scenes of a user can be met, and the requirements of strategic scenes of the user under different scenes can also be met.
Optionally, in a possible implementation manner of this embodiment, before 102, network space data may be further obtained, and further, basic query data may be obtained according to the network space data. Multidimensional query data of at least two entity dimensions can then be obtained from the base query data. And then, further obtaining entity characteristic data according to the multidimensional query data. Finally, the query model may be constructed based on the multi-dimensional query data and the entity feature data.
Specifically, in this implementation, the network space data may be obtained by applying a data layer in the seven-layer architecture model to the big data value. The acquisition of such cyberspace data may include, but is not limited to, online multi-service line log data collection, online transactional database storage data to acquisition, network-related data capture, offline multi-service multi-type document acquisition, and so on.
After the network space data is acquired, the acquired network space data can be further filtered, extracted, converted and the like, and the filtered, extracted and converted network space data is stored by a warehouse layer in a large data value application seven-layer architecture model.
Then, multidimensional query data of at least two entity dimensions obtained according to the basic query data, such as a human-bar-end multidimensional table in a bar, a human-bar-post multidimensional table and the like, can be stored by applying multidimensional layers in a seven-layer architecture model through large data value. From a warehouse layer to a multi-dimensional layer, a multi-dimensional relation between a core business entity and a related business entity is established through a ROLAP mode, the multi-dimensional layer is different from the warehouse layer, the multi-dimensional layer not only aggregates indexes surrounding the entity on the basis of the warehouse layer, but also focuses on identifying the core business entity, the established relation surrounds the core business entity and the related business entity, and in addition, the design of multi-dimensional ideas is focused. Specifically, a core service entity and a related service entity may be obtained according to the basic query data, and then, multidimensional query data using at least the core service entity and the related service entity as entity dimensions may be obtained according to the core service entity, the related service entity, and the basic query data.
The entity feature data obtained from the multi-dimensional query data may then be stored by a feature layer in a seven-layer architectural model applied by big data values. These entity feature data are based on the data sources stored in the multidimensional layer, and are based on multi-policy technologies, such as Machine Learning (Machine Learning), Natural Language Processing (NLP), etc., and entity tag library features and entity-entity relationship features obtained around the core business entity, such as people, bars, and topic core feature libraries in a post. Specifically, the entity characteristics of the core service entity, the entity characteristics of the related service entities, and the relationship characteristics between the core service entity and the related service entities may be obtained by using a preset statistical policy according to the multidimensional query data.
And finally, constructing the query model according to the multidimensional query data and the entity characteristic data by using a model layer in a seven-layer architecture model by using the big data value. Specifically, core service data requirements can be abstracted, and a model layer of the theme-oriented core service entity is established around the core service entity by using data acquired from the multidimensional layer and the characteristic layer.
Specifically, in 103, data can be provided by a service layer in the seven-layer architecture model by using a large data value in a service manner, so that the requirement of the application layer on direct access to the storage layer data is avoided.
In this embodiment, by obtaining the service query requirement of the network space, where the service query requirement includes the query parameter, and further obtaining the query model according to the service query requirement, the query model can be used to obtain the service query result according to the query parameter.
In addition, by adopting the technical scheme provided by the invention, the query model can be directly obtained without performing calculation processing on the basis of the basic log of the network space, namely the network space data, each time, so that the situation of data repeated calculation can be avoided, the processing resource is saved, and the processing load is reduced.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
Fig. 2 is a schematic structural diagram of a service query device in a network space according to another embodiment of the present invention, as shown in fig. 2. The service query device of the network space of the present embodiment may include an obtaining unit 21, a model unit 22, and a service unit 23. The acquiring unit 21 is configured to acquire a service query requirement of a network space, where the service query requirement includes a query parameter; the model unit 22 is used for obtaining a query model according to the service query requirement; and the service unit 23 is configured to obtain a service query result by using the query model according to the query parameter.
The network space may include, but is not limited to, a network space or a non-network space, which is not particularly limited in this embodiment.
It should be noted that, part or all of the service query apparatus in the network space provided in this embodiment may be an application located in the local terminal, or may also be a functional unit such as a plug-in or Software Development Kit (SDK) set in the application located in the local terminal, or may also be a processing engine located in a grid-side server, or may also be a distributed system located on a grid side, which is not particularly limited in this embodiment.
It is to be understood that the application may be a native app (native app) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, and this embodiment is not particularly limited thereto.
Optionally, in a possible implementation manner of this embodiment, the model unit 22 may be further configured to obtain network space data; acquiring basic query data according to the network space data; obtaining multidimensional query data of at least two entity dimensions according to the basic query data; obtaining entity characteristic data according to the multidimensional query data; and constructing the query model according to the multidimensional query data and the entity characteristic data.
In a specific implementation process, the model unit 22 may be specifically configured to obtain a core service entity and a related service entity according to the basic query data; and obtaining multidimensional query data at least taking the core business entity and the related business entity as entity dimensions according to the core business entity, the related business entity and the basic query data.
In another specific implementation process, the model unit 22 may be specifically configured to obtain, according to the multidimensional query data, an entity feature of the core service entity, an entity feature of the related service entity, and a relationship feature between the core service entity and the related service entity by using a preset statistical policy.
In another specific implementation process, the model unit 22 may be further configured to store the query model by using a HOLAP mode.
It should be noted that the method in the embodiment corresponding to fig. 1 may be implemented by the service querying device in the network space provided in this embodiment. For a detailed description, reference may be made to relevant contents in the embodiment corresponding to fig. 1, and details are not described here.
In this embodiment, the service query requirement of the network space is obtained by the obtaining unit, where the service query requirement includes the query parameter, and the model unit obtains the query model according to the service query requirement, so that the service unit can obtain the service query result according to the query parameter by using the query model.
In addition, by adopting the technical scheme provided by the invention, the query model can be directly obtained without performing calculation processing on the basis of the basic log of the network space, namely the network space data, each time, so that the situation of data repeated calculation can be avoided, the processing resource is saved, and the processing load is reduced.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for querying services in a network space, comprising:
acquiring a service query requirement of a network space, wherein the service query requirement comprises a query parameter;
obtaining a query model according to the service query requirement; the query model is obtained by constructing multidimensional query data and entity characteristic data which are obtained in advance based on network space data;
obtaining a service query result by utilizing the query model according to the query parameters;
before obtaining the query model according to the service query requirement, the method further includes:
acquiring network space data;
acquiring basic query data according to the network space data;
obtaining multidimensional query data of at least two entity dimensions according to the basic query data;
obtaining entity characteristic data according to the multidimensional query data;
and constructing the query model according to the multidimensional query data and the entity characteristic data.
2. The method of claim 1, wherein obtaining multidimensional query data for at least two physical dimensions from the base query data comprises:
obtaining a core service entity and a related service entity according to the basic query data;
and acquiring multidimensional query data at least taking the core service entity and the related service entity as entity dimensions according to the core service entity, the related service entity and the basic query data.
3. The method of claim 2, wherein obtaining entity characteristic data from the multidimensional query data comprises:
and acquiring the entity characteristics of the core business entity, the entity characteristics of the related business entity and the relationship characteristics between the core business entity and the related business entity by utilizing a preset statistical strategy according to the multidimensional query data.
4. The method according to any one of claims 1 to 3, wherein after the constructing the query model according to the multi-dimensional query data and the entity feature data, further comprises:
and storing by adopting a HOLAP mode, and storing the query model.
5. The method of any of claims 1 to 3, wherein the cyberspace comprises a web community.
6. A device for querying services in a network space, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring service query requirements of a network space, and the service query requirements comprise query parameters;
the model unit is used for acquiring a query model according to the service query requirement; the query model is obtained by constructing multidimensional query data and entity characteristic data which are obtained in advance based on network space data;
the service unit is used for acquiring a service query result by utilizing the query model according to the query parameter;
wherein the model unit is also used for
Acquiring network space data;
acquiring basic query data according to the network space data;
obtaining multidimensional query data of at least two entity dimensions according to the basic query data;
obtaining entity characteristic data according to the multidimensional query data; and
and constructing the query model according to the multidimensional query data and the entity characteristic data.
7. Device according to claim 6, characterized in that the model unit, in particular for
Obtaining a core service entity and a related service entity according to the basic query data; and
and acquiring multidimensional query data at least taking the core service entity and the related service entity as entity dimensions according to the core service entity, the related service entity and the basic query data.
8. Device according to claim 7, characterized in that the model unit, in particular for
And acquiring the entity characteristics of the core business entity, the entity characteristics of the related business entity and the relationship characteristics between the core business entity and the related business entity by utilizing a preset statistical strategy according to the multidimensional query data.
9. The apparatus of any one of claims 6 to 8, wherein the model unit is further adapted to
And storing by adopting a HOLAP mode, and storing the query model.
10. The apparatus of any of claims 6 to 8, wherein the cyberspace comprises a web community.
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| CN102662994A (en) * | 2012-03-14 | 2012-09-12 | 北京久其软件股份有限公司 | Method and system for establishing data warehouse utilizing virtual multidimensional data set |
| CN105205085A (en) * | 2014-06-30 | 2015-12-30 | 中兴通讯股份有限公司 | Multi-dimensional analysis method and device for mass data |
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| US6581054B1 (en) * | 1999-07-30 | 2003-06-17 | Computer Associates Think, Inc. | Dynamic query model and method |
| CN101382957B (en) * | 2008-10-24 | 2011-01-05 | 用友软件股份有限公司 | System for establishing enquiry model and establishing method |
| CN102591952A (en) * | 2011-12-28 | 2012-07-18 | 用友软件股份有限公司 | Data query device and data query method based on semanteme |
| US20140074811A1 (en) * | 2012-09-07 | 2014-03-13 | Microsoft Corporation | Query ranking models |
| CN104750713A (en) * | 2013-12-27 | 2015-07-01 | 阿里巴巴集团控股有限公司 | Method and device for sorting search results |
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| CN105205085A (en) * | 2014-06-30 | 2015-12-30 | 中兴通讯股份有限公司 | Multi-dimensional analysis method and device for mass data |
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