WO2017092355A1 - 一种数据服务系统 - Google Patents

一种数据服务系统 Download PDF

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Publication number
WO2017092355A1
WO2017092355A1 PCT/CN2016/089514 CN2016089514W WO2017092355A1 WO 2017092355 A1 WO2017092355 A1 WO 2017092355A1 CN 2016089514 W CN2016089514 W CN 2016089514W WO 2017092355 A1 WO2017092355 A1 WO 2017092355A1
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data
management system
content management
key
key data
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PCT/CN2016/089514
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English (en)
French (fr)
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乔磊
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乐视控股(北京)有限公司
乐视网信息技术(北京)股份有限公司
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Priority to US15/243,231 priority Critical patent/US20170154096A1/en
Publication of WO2017092355A1 publication Critical patent/WO2017092355A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques

Definitions

  • This patent application relates to the field of information technology, and in particular to a data service system.
  • Search engines eg, traditional general-purpose search engines such as Baidu, Yahoo, and Google
  • search engines serve as a tool to assist people in retrieving information and become a portal and guide for users to access the World Wide Web.
  • these general-purpose search engines also have certain limitations, such as: (1) users in different fields and different backgrounds often have different retrieval purposes and requirements.
  • the results returned by the general search engine contain a large number of pages that users do not care about. .
  • the goal of the general search engine is to maximize the network coverage, and the contradiction between limited search engine server resources and unlimited network data resources will be further deepened.
  • a crawler tool emerges, which can automatically capture the World Wide Web information according to certain rules.
  • the data crawled by the crawler tool is cumbersome. As an operator, some data may not be directly available to users. How to effectively manage such data has become an urgent problem to be solved.
  • a third party crawler eg, a crawler tool
  • an embodiment of the present invention provides a data service system, which includes: a content management system (CMS); a third-party crawling database for storing data captured by a third party; Processing the library, dividing the data into key data and non-key data, storing the non-key data in the content management system, and inputting the key data into an application management system; and an application management system (AMS, Application) Management system), for reviewing the key data, and storing the key data passed through the verification into the content management system.
  • CMS content management system
  • AMS Application
  • the data processing library may divide key data and non-key data according to one or more of the applications to which the data belongs: daily download amount, daily installation amount, weekly download amount, weekly installation amount, Monthly downloads and monthly installs.
  • the application management system may perform one or more of the following verifications on the key data: installation and uninstallation auditing, operational stability auditing, functional traversal auditing, and performance auditing.
  • the system may further include: a cloud measurement system, configured to perform antivirus and terminal adaptation review on the data in the application management system and the content management system.
  • a cloud measurement system configured to perform antivirus and terminal adaptation review on the data in the application management system and the content management system.
  • the system may further include: a developer platform, and data from the developer platform is directly stored in the content management system.
  • the application management system is further configured to perform data verification on the developer platform, and store the data passed through the verification into the content management system.
  • the content management system may generate, for the stored data, an incremental file of the application to which the data belongs.
  • the data input from the third party crawling database to the data processing library may be increased Volume data.
  • the data from the third-party crawling database can be classified and examined.
  • the efficiency of data processing is improved by classification, and on the other hand, the validity of the data stored in the content management system is ensured, so that the user can
  • the data of the content management system that is securely acquired improves the user experience.
  • FIG. 1 is a structural block diagram of a data service system according to an embodiment of the present invention.
  • FIG. 1 is a structural block diagram of a data service system according to an embodiment of the present invention.
  • a data service system which includes: a content management system 100, which is located between a web server and a back office system or process (content creation, editing). System, the content stored by the author, editors, publishers submitted, modified, approved, published content (for example, applications, files, tables, pictures, data in the database, even video, etc.), so that users can Downloading the required data from the content management system 100; the third-party crawling database 200 is configured to store data captured by the third party, and the data captured by the third party may include various senses captured from the network by using a crawler tool.
  • Interest data data processing library 300, dividing the data into key data and non-key data, storing the non-key data in the content management system, and inputting the key data into an application management system; and application management
  • the system 400 is configured to perform the verification of the key data, and store the key data passed through the verification into the content management system.
  • the system may further include a developer platform 500, and data from the developer platform 500 may be directly stored in the content management system 100.
  • the developer platform 500 is a platform for the internal personnel of the operator to complete the software development according to the unified standard, and the data published by the developer platform is often more reliable than the data from the third-party crawling database 200, so it can be directly stored.
  • the content management system 100 is entered for use by a user.
  • the application management system 100 can also review the data of the developer platform 500 and store the data passed through the verification into the content management system, so as to further ensure data reliability.
  • Different application management systems may be set up for the developer platform 500 and the key data from the data processing library 300 for review.
  • the data processing library 500 may divide the key data and the non-key data according to one or more of the applications to which the data belongs: daily download amount, daily install amount, weekly download amount, weekly install amount, and each Monthly downloads and monthly installs.
  • an application with a daily download volume of 10,000 can be set as a key application
  • an application with a daily download amount of less than 5000 is set as a non-key application
  • data belonging to the key application and the non-key application respectively are key data and non-key. data.
  • For non-key data due to its limited publicity, it can be directly stored in the content management system without reviewing it.
  • the key data it needs to be reviewed by the application management system 400 before being stored in the content management system 100.
  • the data from the third-party crawl database 200 is divided into three types of data: incremental data, heavy Point data, non-key data.
  • the key data and the non-key data constitute that the third party crawls all the data in the database 200, and the incremental data supplements the key data and the non-key data.
  • the incremental data from the third-party crawling database 200 is processed every 5 minutes, the key data is processed twice per hour, and the non-key data is checked once every two days.
  • the data processing library 300 performs the processing on it only for the corresponding incremental data.
  • the application management system 400 may perform one or more of the following key data and other data that needs to be audited (eg, data that failed the previous trial): install the uninstallation test (specifically, the test application is specified) Whether 100 batches of terminals can be installed normally and normally unloaded), operational stability review (specifically, test the actual operation stability of the application, and record errors and warnings during operation), function traversal review (specifically, automatic identification application) Executable functions, traversing all functions of the application as much as possible, recording the operation path through screenshots, and recording logs and crashes) and performance review (specifically, performance data when the test application is running on the specified terminal, Including startup time, CPU consumption, memory consumption, etc., provide reference for application performance optimization).
  • the present invention is not limited thereto, and other required trials may also be applied thereto. For example, some manual audits may be used to determine whether the application has national policy-sensitive content and the like.
  • the data service system of the present invention may further include: a cloud measurement system 600 for performing antivirus on the application management system 400 and the data 100 in the content management system, and the terminal.
  • Adaptation test (specifically based on real terminal equipment (for example, a certain type of mobile phone of LeEco), test and record whether the actual display interface of the application is adapted to the screen of the target real terminal, etc.).
  • the content management system 100 can have all the data, which can generate the incremental file for all the data, for example, for an application, an Android incremental package between different versions of the application can be generated. Or upgrade the installation package, so users can reduce the download of unnecessary files during the application upgrade (for example, the entire package upgrade needs to download 50MB of traffic, while saving In the case of incremental files, you can complete the upgrade by downloading only 10MB of files.
  • the data from the third-party crawling database can be classified and examined.
  • the efficiency of data processing is improved by classification, and on the other hand, the validity of the data stored in the content management system is ensured, so that the user can
  • the data of the content management system that is securely acquired improves the user experience.

Abstract

一种数据服务系统,该系统包含:内容管理系统(100);第三方抓取数据库(200),用于存储第三方抓取的数据;数据加工库(300),将所述数据分为重点数据与非重点数据,将所述非重点数据存入所述内容管理系统,并将所述重点数据输入至应用管理系统(400);以及应用管理系统(400),用于对所述重点数据进行审测,并将审测通过的重点数据存入所述内容管理系统(100)。通过上述技术方案,可对来自第三方抓取数据库的数据进行分类审测,一方面通过分类提高了数据处理的效率,另一方面保证了存入内容管理系统的数据的有效性,从而用户可放心获取的内容管理系统的数据,提高了用户体验。

Description

一种数据服务系统
本申请基于申请号为201510861409.7、申请日为2015/12/1的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本专利申请涉及信息技术领域,具体地,涉及一种数据服务系统。
背景技术
随着网络的迅速发展,互联网成为大量信息的载体,如何有效地提取并利用这些信息成为一个巨大的挑战。搜索引擎(例如,传统的通用搜索引擎百度、雅虎和谷歌等)作为一个辅助人们检索信息的工具成为用户访问万维网的入口和指南。但是,这些通用性搜索引擎也存在着一定的局限性,如:(1)不同领域、不同背景的用户往往具有不同的检索目的和需求,通用搜索引擎所返回的结果包含大量用户不关心的网页。(2)通用搜索引擎的目标是尽可能大的网络覆盖率,有限的搜索引擎服务器资源与无限的网络数据资源之间的矛盾将进一步加深。(3)万维网数据形式的丰富和网络技术的不断发展,图片、数据库、音频、视频多媒体等不同数据大量出现,通用搜索引擎往往对这些信息含量密集且具有一定结构的数据无能为力,不能很好地发现和获取。(4)通用搜索引擎大多提供基于关键字的检索,难以支持根据语义信息提出的查询。
为解决上述搜索引擎所存在的缺陷,爬虫工具应运而生,其可按照一定的规则自动地抓取万维网信息。然而,爬虫工具所抓取的数据繁杂,作为运营商而言,某些数据可能无法直接提供给用户使用。如何对此类数据进行有效管理成为了亟待解决的问题。
发明内容
本发明部分实施例的目的是提供一种数据服务系统,该数据服务系统可对来自第三方抓取工具(例如,爬虫工具)的数据进行有效的管理,使其可被安全可靠地提供给用户使用。
为了实现上述目的,本发明一个实施例提供了一种数据服务系统,该系统包含:内容管理系统(CMS,Content Management System);第三方抓取数据库,用于存储第三方抓取的数据;数据加工库,将所述数据分为重点数据与非重点数据,将所述非重点数据存入所述内容管理系统,并将所述重点数据输入至应用管理系统;以及应用管理系统(AMS,Application Management System),用于对所述重点数据进行审测,并将审测通过的重点数据存入所述内容管理系统。
其中,所述数据加工库可根据所述数据所属应用的以下一者或多者来划分重点数据与非重点数据:每日下载量、每日安装量、每周下载量、每周安装量、每月下载量以及每月安装量。
其中,所述应用管理系统可对所述重点数据进行以下一个或多个审测:安装卸载审测、运行稳定性审测、功能遍历审测以及性能审测。
其中,该系统还可包含:云测系统,用于对所述应用管理系统及内容管理系统内的数据进行杀毒以及终端适配审测。
其中,该系统还可包含:开发者平台,来自该开发者平台的数据直接存入所述内容管理系统。
其中,所述应用管理系统还可用于所述开发者平台的数据进行审测,并将审测通过的数据存入所述内容管理系统。
其中,所述内容管理系统可针对所存入的数据,生成该数据所属应用的增量文件。
其中,从所述第三方抓取数据库输入至所述数据加工库的数据均可为增 量数据。
通过上述技术方案,可对来自第三方抓取数据库的数据进行分类审测,一方面通过分类提高了数据处理的效率,另一方面保证了存入内容管理系统的数据的有效性,从而用户可放心获取的内容管理系统的数据,提高了用户体验。
本发明的其它特征和优点将在随后的具体实施方式部分予以详细说明。
附图说明
附图是用来提供对本发明部分实施例的进一步理解,并且构成说明书的一部分,与下面的具体实施方式一起用于理解本发明,但并不构成对本发明的限制。在附图中:
图1为本发明一个实施例提供的数据服务系统的结构框图。
附图标记说明
100  内容管理系统  200  第三方抓取数据库
300  数据加工库    400  应用管理系统
500  开发者平台    600  云测系统
具体实施方式
以下结合附图对本发明部分实施例的具体实施方式进行详细说明。应当理解的是,此处所描述的具体实施方式仅用于说明和解释本发明,并不用于限制本发明。
图1为本发明一个实施例提供的数据服务系统的结构框图。如图1所示,本发明一个实施例提供一种数据服务系统,该系统包含:内容管理系统100,其是位于Web服务器和后端办公系统或流程(内容创作、编辑)之间的软 件系统,其所存储的内容是由创作人员、编辑人员、发布人员提交、修改、审批、发布的内容(例如,应用、文件、表格、图片、数据库中的数据甚至视频等),从而用户可从该内容管理系统100下载所需的数据;第三方抓取数据库200,用于存储第三方抓取的数据,该第三方抓取的数据可包括利用爬虫工具从网络上抓取的各类感兴趣数据;数据加工库300,将所述数据分为重点数据与非重点数据,将所述非重点数据存入所述内容管理系统,并将所述重点数据输入至应用管理系统;以及应用管理系统400,用于对所述重点数据进行审测,并将审测通过的重点数据存入所述内容管理系统。
其中,所述系统还可包含开发者平台500,来自该开发者平台500的数据可直接存入所述内容管理系统100。一般而言,开发者平台500为运营商内部人员按照统一的标准完成软件开发的平台,其所发布的数据往往比来自第三方抓取数据库200的数据具有较高的可靠性,故可直接存入所述内容管理系统100,以供用户使用。当然,所述应用管理系统100亦可对该开发者平台500的数据进行审测,并将审测通过的数据存入所述内容管理系统,这样可进一步保证数据可靠性。可分别针对该开发者平台500以及所述来自数据加工库300的重点数据设置不同的应用管理系统进行审测。
所述数据加工库500可根据所述数据所属应用的以下一者或多者来划分重点数据与非重点数据:每日下载量、每日安装量、每周下载量、每周安装量、每月下载量以及每月安装量。例如,可将日下载量突破10000的应用设置为重点应用,日下载量低于5000的应用设置为非重点应用,而分别属于该重点应用与非重点应用的数据则分别为重点数据和非重点数据。对于非重点数据而言,由于其涉众不广,可不对其进行审测而直接将其存入内容管理系统。对于重点数据而言,则需要由应用管理系统400对其进行审测之后方能存入所述内容管理系统100。
来自所述第三方抓取数据库200内的数据分为三种数据:增量数据、重 点数据、非重点数据。其中,重点数据与非重点数据即构成了即为该第三方抓取数据库200内的所有数据,增量数据是对重点数据及非重点数据的补充。一般而言,对于数据加工库300而言,对来自第三方抓取数据库200的增量数据每5分钟处理一次,重点数据每小时处理2次,非重点数据2天检查一次。对于重点数据与非重点数据而言,数据加工库300对其所进行的处理只是对相应增量数据的检查。
所述应用管理系统400可对所述重点数据以及其他需要审测的数据(例如,之前审测失败的数据)进行以下一个或多个审测:安装卸载审测(具体为测试应用在指定的百款批量终端上是否可正常安装、正常卸载)、运行稳定性审测(具体为测试应用实际运行的稳定性,并记录运行中的错误及警告)、功能遍历审测(具体为自动识别应用可执行的功能,在一定时间内尽可能的遍历应用的所有功能,通过截图记录操作路径,并记录日志和崩溃现象)以及性能审测(具体为测试应用在指定终端上运行时的性能数据,包括启动时间、CPU消耗、内存消耗等,为应用性能优化提供参考)。当然,本发明并不限于此,其他所需的审测亦可适用于此,例如可通过一些人工审核来判断应用是否存在国家政策敏感的内容等等。
为进一步保证内容管理系统100内的数据的可靠性,本发明的数据服务系统还可包含:云测系统600,用于对所述应用管理系统400及内容管理系统内的数据100进行杀毒以及终端适配审测(具体为基于真实的终端设备(例如,乐视公司某一型号的手机),测试并记录应用实际的显示界面与目标真实终端的屏幕是否适配等)。
经过上述处理之后,内容管理系统100可具有所有的数据,其可针对该所有的数据进行增量文件的生成,例如对于某一应用而言,可生成该应用不同版本之间的安卓增量包或升级安装包,这样用户可在进行应用升级时减少不必要文件的下载(例如,整个文件包升级需要下载50MB的流量,而在存 在增量文件的情况下,可仅下载10MB的文件就可以完成升级)。
通过上述技术方案,可对来自第三方抓取数据库的数据进行分类审测,一方面通过分类提高了数据处理的效率,另一方面保证了存入内容管理系统的数据的有效性,从而用户可放心获取的内容管理系统的数据,提高了用户体验。
以上结合附图详细描述了本发明部分实施例的优选实施方式,但是,本发明并不限于上述实施方式中的具体细节,在本发明的技术构思范围内,可以对本发明的技术方案进行多种简单变型,这些简单变型均属于本发明的保护范围。
另外需要说明的是,在上述具体实施方式中所描述的各个具体技术特征,在不矛盾的情况下,可以通过任何合适的方式进行组合。为了避免不必要的重复,本发明对各种可能的组合方式不再另行说明。
此外,本发明的各种不同的实施方式之间也可以进行任意组合,只要其不违背本发明的思想,其同样应当视为本发明所公开的内容。

Claims (8)

  1. 一种数据服务系统,包含:
    内容管理系统;
    第三方抓取数据库,用于存储第三方抓取的数据;
    数据加工库,将所述数据分为重点数据与非重点数据,将所述非重点数据存入所述内容管理系统,并将所述重点数据输入至应用管理系统;以及
    应用管理系统,用于对所述重点数据进行审测,并将审测通过的重点数据存入所述内容管理系统。
  2. 根据权利要求1所述的数据服务系统,其中,所述数据加工库根据所述数据所属应用的以下一者或多者来划分重点数据与非重点数据:每日下载量、每日安装量、每周下载量、每周安装量、每月下载量以及每月安装量。
  3. 根据权利要求1或2所述的数据服务系统,其中,所述应用管理系统对所述重点数据进行以下一个或多个审测:安装卸载审测、运行稳定性审测、功能遍历审测以及性能审测。
  4. 根据权利要求1,2或3所述的数据服务系统,其中,该系统还包含:
    云测系统,用于对所述应用管理系统及内容管理系统内的数据进行杀毒以及终端适配审测。
  5. 根据权利要求1到4任一项所述的数据服务系统,其中,该系统还包含:
    开发者平台,来自该开发者平台的数据直接存入所述内容管理系统。
  6. 根据权利要求5所述的数据服务系统,其中,所述应用管理系统还 用于所述开发者平台的数据进行审测,并将审测通过的数据存入所述内容管理系统。
  7. 根据权利要求1到6任一项所述的数据服务系统,其中,所述内容管理系统针对所存入的数据,生成该数据所属应用的增量文件。
  8. 根据权利要求1到7任一项所述的数据服务系统,其中,从所述第三方抓取数据库输入至所述数据加工库的数据均为增量数据。
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