技术领域technical field
本发明涉及知识产权软件开发技术领域，具体涉及一种专利智能分析系统。The invention relates to the technical field of intellectual property software development, in particular to a patent intelligent analysis system.
背景技术Background technique
专利智能分析系统属于知识产权软件的一种类型。现有的专利软件都是从专利的检索查询、检索的角度进行开发的。缺乏一种代替知识产权咨询师或律师等专业人员的工作，指导企业进行专利申请或对专利风险情况进行人工智能分析的软件，如代替知识产权咨询师或律师的工作，指导从未申请过专利的企业进行专利挖掘、指导企业如何申请专利等等工作。Patent intelligent analysis system is a type of intellectual property software. Existing patent software is developed from the perspective of patent retrieval and retrieval. There is a lack of a software that can replace the work of professionals such as intellectual property consultants or lawyers and guide enterprises to apply for patents or conduct artificial intelligence analysis on patent risk situations. Enterprises conduct patent mining, guide enterprises how to apply for patents, and so on.
因此，开发一种服务于企业的专利智能分析系统，指导企业进行专利挖掘以申请，取代专业人员的商标系统，具有重要的意义。Therefore, it is of great significance to develop a patent intelligent analysis system that serves enterprises, guides enterprises to carry out patent mining and application, and replaces the professional trademark system.
发明内容Contents of the invention
本发明提供了一种专利智能分析系统，该系统首先解决了现有专利分析系统无法实现为企业智能提供专利申请建议的不足，实现了全智能专利分析，取代了专业人员的分析工作。The invention provides a patent intelligent analysis system, which firstly solves the problem that the existing patent analysis system cannot provide enterprise intelligence with patent application suggestions, realizes full intelligent patent analysis, and replaces the analysis work of professionals.
本发明所要解决的上述技术问题，通过以下技术方案予以实现：The above-mentioned technical problems to be solved by the present invention are realized through the following technical solutions:
一种专利智能分析系统，包含用户信息获取模块、专利数据库以及专利推荐模块；A patent intelligent analysis system, including a user information acquisition module, a patent database and a patent recommendation module;
所述的企业信息获取模块用于获取用户信息；The enterprise information acquisition module is used to acquire user information;
所述的专利推荐模块用于将与用户相关的专利信息推送给用户。The patent recommendation module is used to push the patent information related to the user to the user.
优选地，所述的用户信息包括如下信息中的一种或二种以上的集合：用户名称、用户所述的行业、用户的经营范围、用户已申请的专利信息。Preferably, the user information includes one or more than two of the following information: user name, industry mentioned by the user, business scope of the user, and patent information that the user has applied for.
优选地，所述的用户为企业用户或个人用户；所述的数据库为本地数据库或在线数据库。Preferably, the user is an enterprise user or an individual user; the database is a local database or an online database.
进一步优选地，所述的专利推荐模块通过用户信息获取模块获取用户信息；将获取的用户信息与专利数据库进行匹配，若用户的专利数据为空，则根据用户所在的行业或用户的经营范围，推荐用户行业相关或经营范围相关的专利供用户参考。Further preferably, the patent recommendation module acquires user information through the user information acquisition module; matches the acquired user information with the patent database, and if the user's patent data is empty, then according to the user's industry or the user's business scope, Recommend patents related to the user's industry or business scope for reference.
优选地，所述的专利推荐模块还用于推荐申请用户行业相关或经营范围相关的专利所需的材料给用户。Preferably, the patent recommendation module is also used to recommend to the user the materials needed to apply for patents related to the user's industry or business scope.
优选地，所述的专利智能分析系统，还包括近似专利监控模块；Preferably, the patent intelligent analysis system also includes an approximate patent monitoring module;
所述的近似专利监控模块用于将与用户已有专利相近似的专利进行分析并推送给用户；The similar patent monitoring module is used to analyze and push the patents similar to the user's existing patents to the user;
进一步优选地，所述的近似专利监控模块通过用户信息获取模块获取用户信息，将获取的用户信息与专利数据库进行匹配，若匹配出用户已有专利申请，则提取出用户已有专利的关键词，再将关键词与专利数据库进行匹配，获取与用户已有专利相的专利并推送给用户。Further preferably, the approximate patent monitoring module acquires user information through the user information acquisition module, and matches the acquired user information with the patent database, and if it matches the user's existing patent application, then extracts the keywords of the user's existing patent , and then match the keywords with the patent database to obtain patents that match the user's existing patents and push them to the user.
优选地，专利智能分析系统还包括专利展示模块、专利费用监控模块、专利资助监控模块；Preferably, the patent intelligent analysis system also includes a patent display module, a patent fee monitoring module, and a patent funding monitoring module;
所述的专利展示模块用于展示企业的专利类型以及专利的年度申请趋势；The patent display module is used to display the types of patents of enterprises and the annual application trend of patents;
所述的专利费用监控模块用于推荐给用户专利费用缴纳信息；The patent fee monitoring module is used to recommend payment information of patent fees to users;
所述的专利资助监控模块用于推荐给用户政府专利资助信息。The patent support monitoring module is used to recommend government patent support information to users.
本发明还提供一种专利推荐方法，其包含如下步骤：The present invention also provides a patent recommendation method, which includes the following steps:
获取用户信息；Obtain user information;
将获取的用户信息与专利数据库进行匹配；Match the obtained user information with the patent database;
若用户的专利数据为空，则根据用户所在的行业或用户的经营范围，推荐用户行业相关或经营范围相关的专利供用户参考；If the user's patent data is empty, according to the user's industry or the user's business scope, recommend patents related to the user's industry or business scope for the user's reference;
若匹配出用户已有专利申请，则提取出用户已有专利的关键词，再将关键词与专利数据库进行匹配，获取与用户已有专利相的专利并推送给用户。If the user's existing patent application is matched, the keyword of the user's existing patent is extracted, and then the keyword is matched with the patent database, and the patent corresponding to the user's existing patent is obtained and pushed to the user.
优选地，所述的用户信息包括如下信息中的一种或二种以上的集合：用户名称、用户所述的行业、用户的经营范围、用户已申请的专利信息；所述的获取用户信息是通过用户登录或输入用户名获取用户信息。Preferably, the user information includes one or more than two of the following information: user name, industry mentioned by the user, business scope of the user, patent information that the user has applied for; the obtained user information is Get user information through user login or input user name.
优选地，所述的用户为企业用户或个人用户；所述的数据库为本地数据库或在线数据库。Preferably, the user is an enterprise user or an individual user; the database is a local database or an online database.
有益效果：本发明提供了一种全新架构的专利智能分析系统，该系统实现了全智能专利分析，可取代专业人员的分析工作。所述专利智能分析系统可以通过获取企业所处行业或经营范围，通过数据库匹配出企业所在行业或经营范围所属技术领域的专利，将匹配出的专利推送给企业参考，为企业专利申请方向提供参考，同时还推送专利申请所需材料给企业，进一步指导企业如何申请专利。所述系统还可以对已有专利的企业推送与企业相近似的专利，一方面可以为企业研发提供参考，另一方面可以为企业识别竞争对手和潜在的合作伙伴。Beneficial effects: the present invention provides a patent intelligent analysis system with a new structure, which realizes full intelligent patent analysis and can replace the analysis work of professionals. The patent intelligent analysis system can obtain the industry or business scope of the enterprise, match the patents in the technical field of the industry or business scope of the enterprise through the database, and push the matched patents to the enterprise for reference, providing reference for the direction of the enterprise's patent application At the same time, it also pushes the materials required for patent applications to enterprises, and further guides enterprises on how to apply for patents. The system can also push patents similar to those of enterprises that have existing patents. On the one hand, it can provide references for enterprise research and development, and on the other hand, it can identify competitors and potential partners for enterprises.
附图说明Description of drawings
图1为实施例1所述的专利智能分析系统结构示意图。FIG. 1 is a schematic structural diagram of the patent intelligent analysis system described in Embodiment 1.
图2为实施例2所述的专利智能分析系统结构示意图。FIG. 2 is a schematic structural diagram of the patent intelligent analysis system described in Embodiment 2.
图3为实施例3所述的专利智能分析系统结构示意图。FIG. 3 is a schematic structural diagram of the patented intelligent analysis system described in Embodiment 3.
图4为实施例4所述的专利推荐方法流程图。FIG. 4 is a flow chart of the patent recommendation method described in Embodiment 4.
具体实施方式detailed description
以下结合具体实施例来进一步解释本发明，但实施例对本发明不做任何形式的限定。The present invention is further explained below in conjunction with specific examples, but the examples do not limit the present invention in any form.
实施例1Example 1
如图1所示，本实施例提供一种专利智能分析系统，其包括用户信息获取模块1、专利数据库2以及专利推荐模块3；As shown in Figure 1, the present embodiment provides a patent intelligent analysis system, which includes a user information acquisition module 1, a patent database 2 and a patent recommendation module 3;
所述的企业信息获取模块1用于获取用户信息；The enterprise information acquisition module 1 is used to acquire user information;
所述的专利推荐模块3用于将与用户相关的专利信息推送给用户。The patent recommendation module 3 is used to push the patent information related to the user to the user.
在本实施例中，所述的用户信息包括：用户名称、用户所述的行业、用户的经营范围、用户已申请的专利信息。In this embodiment, the user information includes: user name, industry mentioned by the user, business scope of the user, and patent information that the user has applied for.
在本实施例中，所述的用户为企业用户；所述的数据库为本地数据库。In this embodiment, the user is an enterprise user; the database is a local database.
在本实施例中，所述的专利推荐模块3通过用户信息获取模块1获取用户信息；将获取的用户信息与专利数据库2进行匹配，若用户的专利数据为空，则根据用户所在的行业或用户的经营范围，推荐用户行业相关或经营范围相关的专利供用户参考并推荐申请用户行业相关或经营范围相关的专利所需的材料给用户。In this embodiment, the patent recommendation module 3 obtains user information through the user information acquisition module 1; matches the obtained user information with the patent database 2, and if the user's patent data is empty, then according to the industry or The user's business scope, recommending the user's industry-related or business scope-related patents for user reference and recommending the materials required to apply for the user's industry-related or business scope-related patents to the user.
在本实施例中，专利智能分析系统可以通过获取企业所处行业或经营范围，通过数据库匹配出企业所在行业或经营范围所属技术领域的专利，将匹配出的专利推送给企业参考，为企业专利申请方向提供参考，同时还推送专利申请所需材料给企业，进一步指导企业如何申请专利。In this embodiment, the patent intelligent analysis system can obtain the industry or business scope of the enterprise, match the patents in the technical field of the industry or business scope of the enterprise through the database, and push the matched patents to the enterprise for reference. The application direction provides reference, and at the same time pushes the materials required for patent application to the enterprise to further guide the enterprise on how to apply for a patent.
实施例2Example 2
如图2所示，本实施例提供一种专利智能分析系统，其包括企业信息获取模块1、专利数据库2以及专利推荐模块3、近似专利监控模块4；As shown in Figure 2, the present embodiment provides a patent intelligent analysis system, which includes an enterprise information acquisition module 1, a patent database 2, a patent recommendation module 3, and an approximate patent monitoring module 4;
所述的用户信息获取模块1用于获取用户信息；The user information acquisition module 1 is used to acquire user information;
所述的专利推荐模块3用于将与用户相关的专利信息推送给用户。The patent recommendation module 3 is used to push the patent information related to the user to the user.
在本实施例中，所述的用户信息包括：用户名称、用户所述的行业、用户的经营范围、用户已申请的专利信息。In this embodiment, the user information includes: user name, industry mentioned by the user, business scope of the user, and patent information that the user has applied for.
在本实施例中，所述的用户为企业用户；所述的数据库为本地数据库。In this embodiment, the user is an enterprise user; the database is a local database.
在本实施例中，所述的专利推荐模块3通过用户信息获取模块1获取用户信息；将获取的用户信息与专利数据库2进行匹配，若用户的专利数据为空，则根据用户所在的行业或用户的经营范围，推荐用户行业相关或经营范围相关的专利供用户参考并推荐申请用户行业相关或经营范围相关的专利所需的材料给用户。In this embodiment, the patent recommendation module 3 obtains user information through the user information acquisition module 1; matches the obtained user information with the patent database 2, and if the user's patent data is empty, then according to the industry or The user's business scope, recommending the user's industry-related or business scope-related patents for user reference and recommending the materials required to apply for the user's industry-related or business scope-related patents to the user.
在本实施例中，所述的近似专利监控模块4用于将与用户已有专利相近似的专利进行分析并推送给用户；所述的近似专利监控模块4通过用户信息获取模块1用于获取用户信息，将获取的用户信息与专利数据库2进行匹配，若匹配出用户已有专利申请，则提取出用户已有专利的关键词，再将关键词与专利数据库进行匹配，获取与用户已有专利相的专利并推送给用户。In this embodiment, the similar patent monitoring module 4 is used to analyze and push the patents similar to the user's existing patents to the user; the similar patent monitoring module 4 is used to obtain For user information, match the obtained user information with the patent database 2. If the user’s existing patent application is matched, then extract the keywords of the user’s existing patent, and then match the keyword with the patent database to obtain the patent application that is related to the user’s existing patent application. The patent of the patent phase is pushed to the user.
在本实施例中，所述专利智能分析系统可以通过获取企业所处行业或经营范围，通过数据库匹配出企业所在行业或经营范围所属技术领域的专利，将匹配出的专利推送给企业参考，为企业专利申请方向提供参考，同时还推送专利申请所需材料给企业，进一步指导企业如何申请专利。所述系统还可以对已有专利的企业推送与企业相近似的专利，一方面可以为企业研发提供参考，另一方面可以为企业识别竞争对手和潜在的合作伙伴。In this embodiment, the patent intelligent analysis system can obtain the industry or business scope of the enterprise, match the patents in the technical field of the enterprise's industry or business scope through the database, and push the matched patents to the enterprise for reference, for Provide references for the direction of enterprise patent applications, and at the same time push the materials required for patent applications to enterprises, and further guide enterprises on how to apply for patents. The system can also push patents similar to those of enterprises that have existing patents. On the one hand, it can provide references for enterprise research and development, and on the other hand, it can identify competitors and potential partners for enterprises.
实施例3Example 3
如图3所示，本实施例提供一种专利智能分析系统，其包括企业信息获取模块1、专利数据库2以及专利推荐模块3、近似专利监控模块4、专利展示模块5、专利费用监控模块6、专利资助监控模块7；As shown in Figure 3, the present embodiment provides a patent intelligent analysis system, which includes an enterprise information acquisition module 1, a patent database 2, a patent recommendation module 3, an approximate patent monitoring module 4, a patent display module 5, and a patent fee monitoring module 6 , Patent subsidy monitoring module 7;
所述的用户信息获取模块1用于获取用户信息；The user information acquisition module 1 is used to acquire user information;
所述的专利推荐模块3用于将与用户相关的专利信息推送给用户。The patent recommendation module 3 is used to push the patent information related to the user to the user.
所述的专利展示模块5用于展示企业的专利类型以及专利的年度申请趋势；The patent display module 5 is used to display the patent type of the enterprise and the annual application trend of the patent;
所述的专利费用监控模块6用于推荐给用户专利费用缴纳信息；The patent fee monitoring module 6 is used to recommend payment information of patent fees to users;
所述的专利资助监控模块7用于推荐给用户政府专利资助信息。The patent support monitoring module 7 is used to recommend government patent support information to users.
在本实施例中，所述的用户信息包括：用户名称、用户所述的行业、用户的经营范围、用户已申请的专利信息。In this embodiment, the user information includes: user name, industry mentioned by the user, business scope of the user, and patent information that the user has applied for.
在本实施例中，所述的用户为企业用户；所述的数据库为本地数据库。In this embodiment, the user is an enterprise user; the database is a local database.
在本实施例中，所述的专利推荐模块3通过用户信息获取模块1获取用户信息；将获取的用户信息与专利数据库2进行匹配，若用户的专利数据为空，则根据用户所在的行业或用户的经营范围，推荐用户行业相关或经营范围相关的专利供用户参考并推荐申请用户行业相关或经营范围相关的专利所需的材料给用户。In this embodiment, the patent recommendation module 3 obtains user information through the user information acquisition module 1; matches the obtained user information with the patent database 2, and if the user's patent data is empty, then according to the industry or The user's business scope, recommending the user's industry-related or business scope-related patents for user reference and recommending the materials required to apply for the user's industry-related or business scope-related patents to the user.
在本实施例中，所述的近似专利监控模块4用于将与用户已有专利相近似的专利进行分析并推送给用户；所述的近似专利监控模块4通过用户信息获取模块1用于获取用户信息，将获取的用户信息与专利数据库2进行匹配，若匹配出用户已有专利申请，则提取出用户已有专利的关键词，再将关键词与专利数据库进行匹配，获取与用户已有专利相的专利并推送给用户。In this embodiment, the similar patent monitoring module 4 is used to analyze and push the patents similar to the user's existing patents to the user; the similar patent monitoring module 4 is used to obtain For user information, match the obtained user information with the patent database 2. If the user’s existing patent application is matched, then extract the keywords of the user’s existing patent, and then match the keyword with the patent database to obtain the patent application that is related to the user’s existing patent application. The patent of the patent phase is pushed to the user.
在本实施例中，所述专利智能分析系统可以通过获取企业所处行业或经营范围，通过数据库匹配出企业所在行业或经营范围所属技术领域的专利，将匹配出的专利推送给企业参考，为企业专利申请方向提供参考，同时还推送专利申请所需材料给企业，进一步指导企业如何申请专利。所述系统还可以对已有专利的企业推送与企业相近似的专利，一方面可以为企业研发提供参考，另一方面可以为企业识别竞争对手和潜在的合作伙伴。In this embodiment, the patent intelligent analysis system can obtain the industry or business scope of the enterprise, match the patents in the technical field of the enterprise's industry or business scope through the database, and push the matched patents to the enterprise for reference, for Provide references for the direction of enterprise patent applications, and at the same time push the materials required for patent applications to enterprises, and further guide enterprises on how to apply for patents. The system can also push patents similar to those of enterprises that have existing patents. On the one hand, it can provide references for enterprise research and development, and on the other hand, it can identify competitors and potential partners for enterprises.
实施例4Example 4
如图4所示，本实施例提供一种专利推荐方法，其包含如下步骤：As shown in Figure 4, the present embodiment provides a patent recommendation method, which includes the following steps:
S1. 获取用户信息；S1. Obtain user information;
S2. 将获取的用户信息与专利数据库进行匹配；S2. Match the obtained user information with the patent database;
S31. 若用户的专利数据为空，则根据用户所在的行业或用户的经营范围，推荐用户行业相关或经营范围相关的专利供用户参考；S31. If the user's patent data is empty, recommend patents related to the user's industry or business scope for the user's reference according to the user's industry or the user's business scope;
S32. 若匹配出用户已有专利申请，则提取出用户已有专利的关键词，再将关键词与专利数据库进行匹配，获取与用户已有专利相的专利并推送给用户。S32. If the user's existing patent application is matched, the keywords of the user's existing patents are extracted, and then the keywords are matched with the patent database, and the patents corresponding to the user's existing patents are obtained and pushed to the user.
本实施例中，所述的用户信息包括如下信息：用户名称、用户所述的行业、用户的经营范围、用户已申请的专利信息；所述的获取用户信息是通过用户登录获取用户信息。In this embodiment, the user information includes the following information: user name, industry mentioned by the user, business scope of the user, and patent information that the user has applied for; the user information is acquired through user login.
本实施例中，所述的用户为企业用户；所述的数据库为本地数据库。In this embodiment, the user is an enterprise user; the database is a local database.
在本实施例中，所述专利推荐方法可以通过获取企业所处行业或经营范围，通过数据库匹配出企业所在行业或经营范围所属技术领域的专利，将匹配出的专利推送给企业参考，为企业专利申请方向提供参考，指导企业如何申请专利。所述方法还可以对已有专利的企业推送与企业相近似的专利，一方面可以为企业研发提供参考，另一方面可以为企业识别竞争对手和潜在的合作伙伴。In this embodiment, the patent recommendation method can obtain the industry or business scope of the enterprise, match the patents in the technical field of the industry or business scope of the enterprise through the database, and push the matched patents to the enterprise for reference. The patent application direction provides references to guide enterprises on how to apply for patents. The method can also push patents that are similar to the enterprises that have existing patents, on the one hand, it can provide a reference for enterprise research and development, and on the other hand, it can identify competitors and potential partners for the enterprise.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710517752.9ACN107315816A (en) | 2017-06-29 | 2017-06-29 | A patented intelligent analysis system |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710517752.9ACN107315816A (en) | 2017-06-29 | 2017-06-29 | A patented intelligent analysis system |
| Publication Number | Publication Date |
|---|---|
| CN107315816Atrue CN107315816A (en) | 2017-11-03 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710517752.9APendingCN107315816A (en) | 2017-06-29 | 2017-06-29 | A patented intelligent analysis system |
| Country | Link |
|---|---|
| CN (1) | CN107315816A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107784126A (en)* | 2017-11-27 | 2018-03-09 | 广州中龙信息科技有限公司 | A kind of patent comprehensive retrieval system based on internet |
| CN107844478A (en)* | 2017-11-20 | 2018-03-27 | 山东浪潮云服务信息科技有限公司 | A kind of processing method and processing device of patent document |
| CN108830752A (en)* | 2018-04-04 | 2018-11-16 | 广州市优专网络科技有限公司 | A kind of intellectual property managing method Internet-based stores equipment and mobile terminal |
| CN108985584A (en)* | 2018-06-27 | 2018-12-11 | 广州朝舜网络科技有限公司 | A kind of trade mark intelligent analysis method, device, terminal and storage medium |
| CN109063148A (en)* | 2018-08-07 | 2018-12-21 | 黑龙江阳光惠远信息技术有限公司 | A kind of related patents recommender system and recommended method based on third-party platform |
| CN109213873A (en)* | 2018-08-24 | 2019-01-15 | 浙江知识产权交易中心有限公司 | A kind of patent matching process and matching system for the potential buyer of patent Auto-matching for sale |
| CN109948941A (en)* | 2019-03-26 | 2019-06-28 | 苏州大成有方数据科技有限公司 | One kind is for Intellectual Property Risk control management system and its working method |
| CN114170043A (en)* | 2021-12-17 | 2022-03-11 | 南京叁月半信息科技有限公司 | Internet-based enterprise intellectual property management system |
| CN115374849A (en)* | 2022-08-19 | 2022-11-22 | 维正知识产权科技有限公司 | Enterprise related patent retrieval method, device, equipment and medium |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104035997A (en)* | 2014-06-13 | 2014-09-10 | 淮阴工学院 | Scientific and technical information acquisition and pushing method based on text classification and image deep mining |
| WO2017041256A1 (en)* | 2015-09-09 | 2017-03-16 | 何兰 | Information prompting method for use when automatically matching water flow intensity to water temperature, and water heater |
| CN106897451A (en)* | 2017-03-06 | 2017-06-27 | 横琴国际知识产权交易中心有限公司 | A kind of social network platform system and intelligent social method based on patent information |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104035997A (en)* | 2014-06-13 | 2014-09-10 | 淮阴工学院 | Scientific and technical information acquisition and pushing method based on text classification and image deep mining |
| WO2017041256A1 (en)* | 2015-09-09 | 2017-03-16 | 何兰 | Information prompting method for use when automatically matching water flow intensity to water temperature, and water heater |
| CN106897451A (en)* | 2017-03-06 | 2017-06-27 | 横琴国际知识产权交易中心有限公司 | A kind of social network platform system and intelligent social method based on patent information |
| Title |
|---|
| 周涛: ""基于Web2.0的专利资源协同建设和管理方法与系统"", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》* |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107844478A (en)* | 2017-11-20 | 2018-03-27 | 山东浪潮云服务信息科技有限公司 | A kind of processing method and processing device of patent document |
| CN107844478B (en)* | 2017-11-20 | 2020-12-04 | 浪潮卓数大数据产业发展有限公司 | Patent file processing method and device |
| CN107784126A (en)* | 2017-11-27 | 2018-03-09 | 广州中龙信息科技有限公司 | A kind of patent comprehensive retrieval system based on internet |
| CN108830752A (en)* | 2018-04-04 | 2018-11-16 | 广州市优专网络科技有限公司 | A kind of intellectual property managing method Internet-based stores equipment and mobile terminal |
| CN108985584A (en)* | 2018-06-27 | 2018-12-11 | 广州朝舜网络科技有限公司 | A kind of trade mark intelligent analysis method, device, terminal and storage medium |
| CN109063148A (en)* | 2018-08-07 | 2018-12-21 | 黑龙江阳光惠远信息技术有限公司 | A kind of related patents recommender system and recommended method based on third-party platform |
| CN109213873A (en)* | 2018-08-24 | 2019-01-15 | 浙江知识产权交易中心有限公司 | A kind of patent matching process and matching system for the potential buyer of patent Auto-matching for sale |
| CN109213873B (en)* | 2018-08-24 | 2020-09-15 | 浙江知识产权交易中心有限公司 | Patent matching method and matching system for automatically matching potential buyers for patents to be sold |
| CN109948941A (en)* | 2019-03-26 | 2019-06-28 | 苏州大成有方数据科技有限公司 | One kind is for Intellectual Property Risk control management system and its working method |
| CN114170043A (en)* | 2021-12-17 | 2022-03-11 | 南京叁月半信息科技有限公司 | Internet-based enterprise intellectual property management system |
| CN115374849A (en)* | 2022-08-19 | 2022-11-22 | 维正知识产权科技有限公司 | Enterprise related patent retrieval method, device, equipment and medium |
| Publication | Publication Date | Title |
|---|---|---|
| CN107315816A (en) | A patented intelligent analysis system | |
| Dingsøyr et al. | Emerging themes in agile software development: Introduction to the special section on continuous value delivery | |
| Haddara | ERP selection: the SMART way | |
| Manikas et al. | Software ecosystems–A systematic literature review | |
| Paz et al. | Forecasting of construction and demolition waste in Brazil | |
| Erfani et al. | Predictive risk modeling for major transportation projects using historical data | |
| Diegmann et al. | Journey towards agility: Three decades of research on agile information systems development | |
| US20120323812A1 (en) | Matching candidates with positions based on historical assignment data | |
| Oris et al. | Surveying human vulnerabilities across the life course | |
| Chao et al. | D ata P ractices and C uration V ocabulary (DPCV ocab): An empirically derived framework of scientific data practices and curatorial processes | |
| Schubert et al. | Adding structure to enterprise collaboration systems: Identification of use cases and collaboration scenarios | |
| Gaardboe et al. | Critical factors for business intelligence success | |
| Kirchhoff et al. | Toward a service-based workflow for automated information extraction from herbarium specimens | |
| Goeminne et al. | A historical dataset for the Gnome ecosystem | |
| Chowdhury et al. | The effectiveness of web-based technology platforms in facilitating construction project collaboration: A qualitative analysis of 1,152 user reviews | |
| US20150088592A1 (en) | Converting a text operational manual into a business process model or workflow diagram | |
| Longjohn et al. | Benchmark data repositories for better benchmarking | |
| Li et al. | Research data management: what can librarians really help? | |
| Pícha et al. | ALM tool data usage in software process metamodeling | |
| US20140172684A1 (en) | System and Method to Utilize Presumptions, Database Information, and/or User Defaults to Calculate Construction Lien, Notice, Bond Claim, and Other Construction Document Deadlines and Requirements | |
| Bano | Aligning services and requirements with user feedback | |
| CN117057866A (en) | Service recommendation method and device, electronic equipment and storage medium | |
| US20230010910A1 (en) | Systems and processes of position fulfillment | |
| CN117010847A (en) | Method for improving matching degree of virtual team sentry and terminal thereof | |
| Frączkowski et al. | Stakeholder impact on the success and risk of failure of ICT projects in Poland |
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20171103 | |
| RJ01 | Rejection of invention patent application after publication |