KR102189177B1 - Systems and method for providing social network based on patent - Google Patents

Abstract

The present invention relates to a system and method for providing a patent-based social relations network that enables the formation of social relations between users engaged in a specific technical field based on patents in a specific technical field, including patent bibliographic information and technical classification information A patent data storage unit that stores data, a user information receiving unit that receives user's personal information, a patent candidate search unit that searches for a user's owned patent candidates, a correlation calculation that calculates the correlation between the searched patent candidates and the user as a score A patent-based social network including a patent selection unit that selects whether or not a patent is owned by a user, a user patent matching information storage unit that matches and stores a user’s selected patent, and a social network provider unit that establishes and provides a social network A delivery system and method are provided.

Description

Systems and method for providing social network based on patent}

The present invention relates to a system and method for providing a patent-based social network, and more particularly, a system for providing a patent-based social network that enables the formation of a social relationship between users engaged in a specific technology field based on a patent in a specific technology field. And a method.

The social network is a system that strengthens personal relationships with acquaintances on the web using the Internet and smart devices, and allows individuals to form a wide personal network while building new contacts. It is a technology that allows you to introduce to the public, provide and receive information, form and maintain relationships, and view or connect to the network of other users within the system. However, in recent years, there are cases in which a user creates a social network by falsely writing his or her information on the web. Therefore, if a user wants to form a social network with users in a specific technical field in which he/she is engaged, it is necessary to verify objective information. Required.

The prior art Korean Patent Publication No. 10-2014-0076667, "Reliability-based social media sharing system" discloses a system that provides a social network by processing and analyzing user information collected from various social network services. The user's information had to be provided after collecting the user's location, personal profile, and interest information from various social networks, and processing and analyzing the data. However, if the user falsely writes his or her profile or interest in the social network that was previously used, there is a problem that the user's information is not objective because the user's information contains false information from the beginning. In the end, if a user falsely writes his or her profile or interests, there is a problem in that it cannot provide a social network by collecting objective information.

Therefore, a system and method of providing a social network using objective information about the related technology the user is engaged in is required, which will minimize the cost and time for the user to form a social network with the user engaged in a specific technology. It can provide a social network provision system that can be used.

Korean Patent Publication No. 10-2014-0076667

An object of the present invention is to form a social relationship between users engaged in a specific technical field based on more objective data by forming a social network based on a patent.

The present invention searches for patent candidates owned by the user based on the user's name information expressed in one or more languages and the inventor information of the patent, thereby matching the inventor information described in the patent filed in one or more countries with the user's name. Its purpose is to increase the search rate for patent candidates.

An object of the present invention is to match the user's patent based on the technical field in which the user is engaged by calculating a correlation by matching the technical field information of the user with the technical classification information of the patent.

The present invention stores correlation information between each technology field and the technology classification information of a patent, and calculates a correlation based on the relationship information between the user's technology field information and the technology classification information of a candidate patent by referring to it, The purpose of this is to enable users to search for patent candidates based on more objective data.

An object of the present invention is to calculate a correlation by matching the address information of the user and the address information of the inventor of the patent, so that the user's patent candidate can be searched based on more objective data by utilizing whether the user's address has been transferred. .

An object of the present invention is to enable a user's patent candidate to be searched based on more objective data based on the user's turnover record by matching the user's history information and the patent applicant's information to calculate a correlation.

In the present invention, the correlation is doubled by grouping the patents searched as patent candidates of the user to calculate the correlation with the user, calculating the correlation with the user for each grouped patent, and calculating the correlation by synthesizing the grouped patents. The purpose of the calculation is to increase the search rate of the user's patent candidates more accurately by searching the user's patents.

In order to achieve this purpose, the system for providing a patent-based social network according to an embodiment of the present invention includes a patent data storage unit that stores patent data including patent bibliographic information and technology classification information, and a user information receiver that receives user's personal information. , A patent candidate search unit that searches for a patent candidate possessed by a user based on the patent bibliographic information stored in the patent data storage unit and the personal information of the user received from the user information receiving unit, and technology classification information stored in the patent data storage unit And a correlation calculation unit that calculates the correlation between the searched patent candidate and the user as a score based on the user's personal information received from the user information receiving unit. A patent selection unit that provides the correlation score and selects whether or not a patent is owned by the user, a user patent matching information storage unit that matches and stores the patent selected by the user in the patent selection unit, and the user patent matching information It may be configured to include a social network providing unit that provides by building a social network based on the matching information stored in the storage unit.

In addition, the personal information of the user includes name information of the user expressed in one or more languages, the patent bibliographic information stored in the patent data storage unit includes the inventor information of each patent, and the patent candidate search unit It may be configured by matching the user's name information expressed in the above language and the inventor information of each patent to search for a patent candidate owned by the user.

In addition, the personal information of the user includes information on the technical field of the user, and the correlation calculator calculates a correlation by matching the technical field information of the user and the technical classification information of each candidate patent. It can be configured.

In addition, it further includes a technology field information storage unit for storing information on a plurality of technical fields and a degree of relation between each technical field and the technical classification information of the patent, wherein the user's technical field information is selected and input by a user from among the plurality of technical fields. Received, and the correlation calculation unit, with reference to the technology field information storage unit, calculates a correlation based on the relationship information between the technology field information of the user and the technology classification information of each candidate patent. Can be.

In addition, the user's personal information includes the user's address information, the patent bibliographic information stored in the patent data storage unit includes the inventor address information of each patent, and the correlation calculation unit includes the address information of the user and the It may be configured by matching the inventor address information of each patent candidate to calculate a correlation.

In addition, the user's personal information includes the user's history information, the patent bibliographic information stored in the patent data storage unit includes the applicant information of each patent, and the correlation calculation unit includes the user's history information and the respective It may be configured by matching the applicant information of the possessed patent candidate to calculate the correlation.

In addition, the correlation calculator classifies the searched patent candidates into one or more groups, calculates a correlation between the classified group and the user as a first correlation, and calculates a correlation between each of the patent candidates and the user. It may be configured by calculating a second correlation, and calculating the correlation by synthesizing the first correlation and the second correlation.

The present invention makes it possible to form a social relationship between users engaged in a specific technical field based on more objective data by forming a social relationship network based on a patent.

The present invention searches for patent candidates owned by the user based on the user's name information expressed in one or more languages and the inventor information of the patent, thereby matching the inventor information described in the patent filed in one or more countries with the user's name. It enables the search rate of patent candidates to be increased.

The present invention calculates a correlation by matching the technical field information of the user and the technical classification information of the patent, so that the user's patent can be matched based on the technical field in which the user is engaged.

The present invention stores correlation information between each technology field and the technology classification information of a patent, and calculates a correlation based on the relationship information between the user's technology field information and the technology classification information of a candidate patent by referring to it, It enables users to search for patent candidates based on more objective data.

The present invention calculates a correlation by matching the address information of the user and the address information of the inventor of the patent so that the user's patent candidate can be searched based on more objective data by utilizing whether the user's address has been transferred.

The present invention calculates a correlation by matching the user's history information and the patent applicant's information, so that a user's patent candidate can be searched based on more objective data based on the user's turnover record.

In the present invention, the correlation is doubled by grouping the patents searched as patent candidates of the user to calculate the correlation with the user, calculating the correlation with the user for each grouped patent, and calculating the correlation by synthesizing the grouped patents. By calculating and searching the user's patents, it is possible to more accurately increase the user's patent candidate search rate.

1 is a diagram showing the configuration of a system for providing a patent-based social network according to an embodiment of the present invention.
2 is a diagram illustrating an example of receiving personal information of a user according to an embodiment of the present invention.
3 is a diagram illustrating an example of searching for a patent candidate owned by a user according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating an example of searching for a patent candidate by matching address information and history information of a user, applicant information of a patent, and inventor address information according to an embodiment of the present invention.
5 is a diagram illustrating an example of calculating a correlation between a patent candidate and a user according to an embodiment of the present invention as a score.
6 is a diagram illustrating an example of calculating a correlation by calculating and synthesizing a patent candidate held according to an embodiment of the present invention as a first correlation and a second correlation.
7 is a flowchart showing a method for providing a patent-based social network according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In describing the present invention, when it is determined that a detailed description of a related known configuration or function may obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, in describing the embodiments of the present invention, specific numerical values are only examples, and the scope of the invention is not limited thereby.

The system for providing a patent-based social network according to the present invention may be configured in the form of a server that has a central processing unit (CPU) and a memory (memory device) and can be connected to other terminals through a communication network such as the Internet. However, the present invention is not limited by the configuration of the central processing unit and the memory. In addition, the system for providing a patent-based social network according to the present invention may be physically configured as a single device, or may be implemented in a distributed form in a plurality of devices, so that the present invention is limited by the configuration of such a physical device. It doesn't work.

1 is a diagram showing the configuration of a system for providing a patent-based social network according to an embodiment of the present invention.

The system for providing a patent-based social network according to the present invention includes a patent data storage unit 110, a user information receiving unit 120, a patent candidate search unit 130, a correlation calculation unit 140, a patent selection unit 150, and a user It may be composed of a patent matching information storage unit 160, a social network providing unit 170, and a technical field information storage unit 180, and each of the components may be a software module that physically operates in the same computer system. , Two or more physically separated computer systems may be configured to operate in conjunction with each other, and various embodiments including the same function belong to the scope of the present invention.

The patent data storage unit 110 stores patent data including patent bibliographic information and technology classification information.

The patent data stored in the patent data storage unit 110 may be intellectual property or intellectual property, which is all property arising from intellectual activity, and may include industrial property rights and copyrights such as patents, utility models, trademarks, and designs. .

The patent bibliographic information included in the patent data includes codes such as application number, publication number, registration number, etc., inventor information, personal information such as applicant information, patent classification, and applicant code. In addition, the technology classification information may be one of the information included in the patent bibliographic information, and the technology classification information is IPC (International Patent Classification), CPC (Cooperative Patent Classification), UPC (US Patent Classes), EPC (European Patent Classification). ), FI (File Index), or F-TERM. IPC used a different classification system for each country, such as the United States, Japan, and Europe, but the international patent classification (IPC) was introduced in 1968 as an internationally unified patent classification system was needed. CPC was established in 2013 as an internal classification system in the US and Europe, and until recently, the number of countries using CPC is increasing. In the case of FI, it is a more subdivided code based on the IPC classification code, and is mainly used in Japan, and F-TERM is developed by subdividing and diversifying based on FI for rapid examination by the Japanese Patent Office in response to the developing technology level. This is one code.

Patent bibliographic information includes information on inventors of each patent.

The patent bibliographic information includes information on the inventor address of each patent.

In the patent bibliographic information, information on the inventor is described, but the information on who invented the patent needs to be clearly stated. Therefore, it can include the inventor's name and the inventor's address.

The patent bibliographic information includes information on the applicant of each patent.

The applicant information included in the patent bibliographic information may be the holder of a patent application. The applicant information may be an individual or a company, and the applicant information may be a company name or applicant code information. Applicant code is a unique number issued by the applicant to apply for a patent, and the applicant can be identified by the applicant code. In addition, the applicant information may include the applicant's address information. In order to clearly describe the applicant's information, the applicant's address information may be included.

The user information receiving unit 120 receives personal information of a user.

The user's personal information received by the user information receiving unit 120 may be information capable of identifying an individual user who uses a social network. Users can sign up to use the social network, and when signing up, they can enter their personal information.

The user's personal information includes the user's name information expressed in one or more languages.

The user's personal information received by the user information receiving unit 120 may include the user's name information, and when the user signs up to use the social network, the user's name is expressed in various languages to store the user's name information. I can. In particular, the user may store information on the user's name expressed in a foreign language that may advance in a technology field to which he belongs or apply for a patent. The user's name information may be expressed in various languages such as Korean, English, Japanese, Chinese, and Russian. In this case, in the case of a corporate user, the name of the corporation may be included, and the name of the corporation may be expressed in various languages.

User's personal information includes user's technical field information.

The user's personal information received by the user information receiving unit 120 may include the user's technical field information, and the technical field information may be a specialized field in which the user is professionally engaged or a field related to the user's major.

The user's personal information includes the user's address information.

The user's personal information received by the user information receiving unit 120 may include address information where the user currently lives.

User's personal information includes user's history information.

The user's personal information received by the user information receiving unit 120 may include the user's history information, and the user's history information may be information on the work place where the user has worked or information on the history in which the user has moved.

The technology field storage unit stores information on a plurality of technical fields and the degree of relation between each technical field and the technical classification information of the patent.

The technology field storage unit may store information on whether or not the user is related and the degree of relevance by matching information on a technology field in which a user can engage or a technology field in which a user can major and the technology classification information of a patent.

For example, in the technical field of'automobile manufacturing', the IPC related to patent technology classification information is'B60B, B60D, B60F, B60G, B60H, B60J, B60K, B60L (excluding B60L13), B60N, B60P, B60R, B60S ( B60S3), B60T, B60W, B62D, E05F, F02M, F02N, F02P, F16J, G05G' can be stored. Among the related IPCs, the degree of relation to'B62D' is 90%, and the degree of relation to'B60L' is Relevance information can be stored by matching 89%. In addition, the technical field storage unit may store the degree of association with the stored IPC by matching that it is related to the'automotive manufacturing industry' technical field.

The user's technical field information is selected and input from a user among a plurality of technical fields.

The user's technical field information may select one or more of the technical fields stored in the technical field storage unit when the user wants to input the user's technical field. When the user selects a technical field related to the user, patent technology classification information related to the selected technical field may be stored together.

The patent candidate search unit 130 searches for a patent candidate held by the user based on the patent bibliographic information stored in the patent data storage unit 110 and the personal information of the user received by the user information receiving unit 120.

The patent candidate search unit 130 can search for a candidate for a patent held by a user, and based on the user's information and patent information, a candidate related to a user in order to search for a patent applied by the user as an applicant or registered as an inventor. You can search for a patent. That is, the user's patent candidate may be a patent that may be a patent related to the user. A patent related to a user can be searched by matching the inventor name and user name information, which is the patent bibliographic information stored in the patent data storage unit 110, and a patent related to the user can be searched by matching the inventor address and user address information. . In addition, it is possible to search for a patent related to a user by matching the applicant information of the patent bibliographic information with the user's name or the user's history information.

The patent candidate search unit 130 searches for a patent candidate owned by the user by matching the user's name information expressed in one or more languages with the inventor information of each patent.

The patent candidate search unit 130 may search for a patent related to a user by matching the user's name information expressed in various languages with the inventor information or applicant information of the patent. Among the patents of each country, the inventor's name in the patent bibliographic information can be expressed in the language of each country. The user's patent candidates can be searched by matching the patent's inventor information with the various languages that the user entered when signing up.If the name information entered by the user and the inventor information of the patent are different, they are commonly used in each country. The name expression can be matched with the user name to search for the user's patent candidate.

For example, if the user's name is'Lee Ji-eun' and the user has written only in Korean, the name'Lee Ji-eun' is usually written in English as'LEE JI-EUN','JI EUN LEE','JI-EUN; It can be expressed as'LEE'. The user's patent candidates can be searched by matching the user names'Lee Ji-eun','LEE JI-EUN','JI EUN LEE', and'JI-EUN;LEE'.

The patent candidate search unit 130 may search for a patent candidate owned by the user by matching company information of the user's history information expressed in one or more languages and applicant information of each patent.

The patent candidate search unit 130 may search for a patent related to a user by matching the user's company information expressed in various languages with the patent applicant information. Applicant information among the patents of each country can be expressed in the language of each country.

For example, a user has a history of attending a company called'Samsung Electronics', so when signing up, he wrote'Samsung Electronics' in Korean in his/her career, and'Samsung Electronics' can be expressed as'SAMSUNG ELECTRONICS' in English. By matching'Samsung Electronics' and'SAMSUNG ELECTRONICS' described by the user, it can be added as one piece of information to search for the user's own patent candidate.

The correlation calculation unit 140 calculates the correlation between the searched patent candidate and the user based on the technology classification information stored in the patent data storage unit 110 and the personal information of the user received from the user information receiving unit 120. Count by score.

The correlation calculation unit 140 may match the technology classification information stored in the patent data storage unit 110 with the technology field information among the user's personal information, and among candidate patents searched by matching the user's personal information and the patent bibliographic information. The correlation can be calculated as a score based on the patent's technology classification information and the patent in which the user's technology field is matched.

For example, if the patent candidate search unit 130 searches for 10 patents related to user A, and user A is engaged in the'automotive manufacturing industry', the correlation calculation unit 140 is Patents with a high correlation can be calculated based on patents matching the technical classification information related to'automobile manufacturing industry'. That is, among the 10 patents searched as candidate patents, the scores of patents containing'B62D' and'B60L', which are technical classification information highly related to the'automotive manufacturing industry', can be calculated high and have relatively low relevance. The correlation score of a patent that contains technical classification information with or without can be calculated low.

The correlation calculation unit 140 calculates a correlation by matching the technology field information of the user and the technology classification information of each candidate patent held.

The correlation calculation unit 140 may calculate a correlation by mapping the technology field input by the user with the technology classification information included in the user-owned candidate patent searched as related to the user.

The correlation calculation unit 140 refers to the technology field information storage unit 180 and calculates a correlation based on the relationship information between the technology field information of the user and the technology classification information of each candidate patent.

The correlation calculation unit 140 may calculate a correlation based on a degree of relation between each technology field stored in the technology field information storage unit 180 and the technology classification information of the patent.

For example, if the user is engaged in a job related to the'automotive manufacturing industry' and the user's technical field is registered as'automotive manufacturing', the technical field information storage unit 180 contains technical classification information that is highly related to the'automotive manufacturing industry'. 'B60B, B60D, B60F, B60G, B60H, B60J, B60K, B60L (excluding B60L13), B60N, B60P, B60R, B60S (excluding B60S3), B60T, B60W, B62D, E05F, F02M, F02N, F02P, F16J G05G'. In the case of a patent containing technology classification information stored in the technology field information storage unit 180, it can be calculated that the correlation is high, and a patent containing technology classification information not stored in the technology field information storage unit 180 is It can be calculated as having low or no correlation.

The correlation calculator 140 calculates a correlation by matching the address information of the user and the address information of the inventor of each patent candidate.

The correlation calculator 140 may calculate a correlation by matching the inventor address information and the user's address information among the patent candidates retrieved by the patent candidate search unit 130. If the address information of the inventor and the address information of the user are identical or similar among the patent candidates held, it may be calculated that the possibility of the patent of the user is higher than that of other patent candidates whose address information does not match. That is, it can be calculated that the correlation is high when the address information of the inventor and the address information of the user are identical among the patents of the patent candidates held.

The correlation calculator 140 calculates a correlation by matching the user's history information and the applicant information of each patent candidate.

The correlation calculating unit 140 may calculate a correlation by matching applicant information and user history information among the patent candidates searched by the patent candidate search unit 130. If the applicant information and the user's history information are identical or similar among the patent candidates held, it may be calculated that the possibility of the patent of the user is higher than that of other patent candidates whose applicant information does not match. That is, if the applicant information and the user's history information match among the patents of the patent candidates held, the correlation may be calculated to be high.

The correlation calculator 140 classifies the searched patent candidates into one or more groups, calculates the correlation between the classified group and the user as a first correlation, and calculates the correlation between each of the patent candidates held and the user as a second correlation. The correlation is calculated by combining the first correlation and the second correlation by calculating the correlation.

The correlation calculation unit 140 may classify the possessed patent candidates retrieved by the patent candidate search unit 130 into groups based on patent bibliographic information of patent data, technology classification information, and user's personal information. The correlation calculation unit 140 may group patents having similar patent bibliographic information among patent candidates searched by the patent candidate search unit 130, and may group patents having similar technical classification information. In addition, patents with similar personal information of users can be grouped. That is, among the patent candidates retrieved by the patent candidate search unit 130, patents having similar characteristics are grouped to calculate a correlation between the classified group and the user, thereby making the first correlation.

For example, it is assumed that 100 patents that are candidates for patents owned by user B were searched. If grouping is based on information matching the user's technical field information and the technology classification information of the patent among the user's personal information, 15 patents related to'artificial intelligence', 10 patents related to the'automobile industry', and'communication equipment' Grouping can be done with 8 patents related to'and 5 patents related to the'chemical fiber manufacturing industry'. In addition, if grouping is performed with the applicant information among the patent bibliographic information of the patent data,'Samsung Electronics' can group 20 patents as the applicant and'LG Electronics' 10 patents as applicants. In addition, grouping may be performed based on the related degree information stored in the technical field information storage unit 180. After grouping, the correlation between the user and each grouped group can be calculated.

The correlation calculation unit 140 may calculate a correlation between each of the patents included in the grouped group and a user to obtain a second correlation. In addition, a correlation obtained by combining the first correlation and the second correlation may be calculated.

The total correlation score obtained by combining the first correlation and the second correlation may be a score combining the first correlation and the second correlation, and is synthesized by adding an additional point to the first correlation score or the second correlation score. can do.

The patent selection unit 150 provides the user with the list of patent candidates and the correlation score of each candidate patent, and selects whether or not to hold a patent from the user.

The patent selection unit 150 may finally recommend the user's patent candidate to the user based on the correlation score calculated by the correlation calculation unit 140, and the user himself owns it based on the correlation score. You can select the patent you are doing.

For example, when a user fills out a subscription form to use the social network, the user may be provided with a patent list based on the correlation score calculated by the correlation calculator 140. The user can select a patent related to the user from the provided patent list.

User The user patent matching information storage unit 160 matches and stores the patent selected by the user in the patent selection unit 150 with a user.

User The user patent matching information storage unit 160 may match and store a patent selected by the user as a patent related to a user or a patent owned by the user in the patent selection unit 150. In addition, the patent selected by the user may be matched with user personal information and stored as user personal information.

The social network providing unit 170 constructs and provides a social network based on the matching information stored in the user-user patent matching information storage unit 160.

The social network providing unit 170 may establish and provide a social network based on the personal information of the individual matched with the user personal information and stored. If you want to form a social network between people working in the user's technical field, you can recommend users working in the same technical field to the user based on the user's technical field.

For example, since the user C is engaged in the'semiconductor manufacturing industry' and holds a number of patents, the user C may be matched and stored together with the'semiconductor manufacturing industry' in the user-user patent matching information storage unit 160. If a user C wants to form a social network with a person in the same industry, the social network provider 170 may recommend other users who are engaged in the'semiconductor manufacturing industry' and hold a patent. You can build a social network as a basis. In addition, if user C's major in university is'chemistry', he is currently engaged in the'semiconductor manufacturing industry', but is there any other job in the'chemistry' field for the turnover and is currently engaged in the'chemistry' field. There are times when you need advice from the user who is doing it. Accordingly, the social network provider 170 may recommend or provide another user related to'chemistry' to user C. A patent can be judged by objective data that he is actually engaged in the field, and a user who holds a patent can be judged as a practitioner in an industry that is actually engaged in the technical field and has achievements. Therefore, it can be said that the reliability of data is very high when a user wants to form a social network in the relevant technology field based on whether or not he has a patent, or when a user wants to form a social network in order to enter the field.

2 is a diagram illustrating an example of receiving personal information of a user according to an embodiment of the present invention.

The user information receiving unit 120 receives personal information of a user.

The user's personal information received by the user information receiving unit 120 may be information capable of identifying an individual user who uses a social network. Users can sign up to use the social network, and when signing up, they can enter their personal information.

The user's personal information includes the user's name information expressed in one or more languages. User's personal information includes user's technical field information. The user's personal information includes the user's address information. User's personal information includes user's history information.

Users can fill out a sign-up form to form a social network, and can enter user's personal information. For personal information of users, simple information such as ID, name (user name information), date of birth, mobile phone number, and address (user address information) can be entered. If you want to register as an expert or enter additional information, you can enter your academic background, major, and job change. Career information such as information (user history information), specialized field, field of interest, participated thesis and patent can be entered. The user information receiving unit 120 may receive personal information created by the user, and based on this, may form a social network with a practitioner in the same industry or an industry expert to be engaged in the future.

3 is a diagram illustrating an example of searching for a patent candidate owned by a user according to an embodiment of the present invention.

The patent candidate search unit 130 searches for a patent candidate held by the user based on the patent bibliographic information stored in the patent data storage unit 110 and the personal information of the user received by the user information receiving unit 120.

The patent candidate search unit 130 may classify and search a patent related to a user or a patent that is likely to be a patent owned by a user among all patents stored in the patent data storage unit 110 as possessed patent candidates.

The patent candidate search unit 130 can search for a candidate for a patent held by a user, and search for a patent applied by the user or registered as an inventor based on the user's information and patent information. You can search. That is, the user's patent candidate may be a patent that may be a patent related to the user. A patent related to a user can be searched by matching the inventor name and user name information, which is the patent bibliographic information stored in the patent data storage unit 110, and a patent related to the user can be searched by matching the inventor address and user address information. . In addition, it is possible to search for a patent related to a user by matching the applicant information of the patent bibliographic information with the user's name or the user's history information.

The patent candidate search unit 130 searches for a patent candidate owned by the user by matching the user's name information expressed in one or more languages with the inventor information of each patent.

The patent candidate search unit 130 may search for a patent related to a user by matching the name information of the user expressed in various languages with the inventor information of the patent. Among the patents of each country, the inventor's name in the patent bibliographic information can be expressed in the language of each country. The user's patent candidates can be searched by matching the patent's inventor information with the various languages that the user entered when signing up.If the name information entered by the user and the inventor information of the patent are different, they are commonly used in each country. The name expression can be matched with the user name to search for the user's patent candidate.

For example, if the user's name is'Lee Ji-eun' and the user has written only in Korean, the name'Lee Ji-eun' is usually written in English as'LEE JI-EUN','JI EUN LEE','JI-EUN; It can be expressed as'LEE'. The user's patent candidates can be searched by matching the user names'Lee Ji-eun','LEE JI-EUN','JI EUN LEE', and'JI-EUN;LEE'.

The patent candidate search unit 130 may search for a patent candidate owned by the user by matching company information of the user's history information expressed in one or more languages and applicant information of each patent.

The patent candidate search unit 130 may search for a patent related to a user by matching the user's company information expressed in various languages with the patent applicant information. Applicant information among the patents of each country can be expressed in the language of each country.

For example, a user has a history of attending a company called'Samsung Electronics', so when signing up, he wrote'Samsung Electronics' in Korean in his/her career, and'Samsung Electronics' can be expressed as'SAMSUNG ELECTRONICS' in English. By matching'Samsung Electronics' and'SAMSUNG ELECTRONICS' described by the user, it can be added as one piece of information to search for the user's own patent candidate.

FIG. 4 is a diagram illustrating an example of searching for a patent candidate by matching address information and history information of a user, applicant information of a patent, and inventor address information according to an embodiment of the present invention.

The patent candidate search unit 130 searches for a patent candidate held by the user based on the patent bibliographic information stored in the patent data storage unit 110 and the personal information of the user received by the user information receiving unit 120.

The patent candidate search unit 130 can search for a candidate for a patent held by a user, and search for a patent applied by the user or registered as an inventor based on the user's information and patent information. You can search. That is, the user's patent candidate may be a patent that may be a patent related to the user. A patent related to a user can be searched by matching the inventor name and user name information, which is the patent bibliographic information stored in the patent data storage unit 110, and a patent related to the user can be searched by matching the inventor address and user address information. . In addition, it is possible to search for a patent related to a user by matching the applicant information of the patent bibliographic information with the user's name or the user's history information.

For example, P user applied for a total of 7 patents from January 2, 2010 to September 18, 2017, and was registered as an inventor. Patents P1 through P3 were filed while working at Company A, and patents P4 through P7 were applied while working at Company B. In addition, the P user was living in Yeoksam-dong, Gangnam-gu, Seoul at the time of filing for patents P1 to P4, and at the time of filing for patents P5 to P7 in Bundang-gu, Seongnam-si, Gyeonggi-do. The patent candidate search unit 130 may search for a patent candidate owned by user P based on this. Applicant information from patent P1 to patent P3 is listed as Company A, and the address of user P, the inventor, is listed in Yeoksam-dong, Gangnam-gu, Seoul, so it can be matched with the patent of user P, and served as company B on March 19, 2015. At that time, since the address is in Yeoksam-dong, Gangnam-gu, Seoul, the inventor information is addressed to Yeoksam-dong, Gangnam-gu, Seoul, so that the information that the user P has moved from company A to company B can be matched. In addition, if information matching the name of the inventor of user P is found among the patents of company B, based on the patent filed on June 15, 2016, user P can know that the address has moved to Bundang-gu, Seongnam-si, Gyeonggi-do, and based on this Can search for patent candidates held In this way, it is possible to search for a patent held by a user based on the inventor's address information and history information.

5 is a diagram illustrating an example of calculating a correlation between a patent candidate and a user according to an embodiment of the present invention as a score.

The correlation calculation unit 140 calculates the correlation between the searched patent candidate and the user based on the technology classification information stored in the patent data storage unit 110 and the personal information of the user received from the user information receiving unit 120. Count by score.

The correlation calculation unit 140 may match the technology classification information stored in the patent data storage unit 110 with the technology field information among the user's personal information, and among candidate patents searched by matching the user's personal information and the patent bibliographic information. The correlation can be calculated as a score based on the patent's technology classification information and the patent in which the user's technology field is matched.

The correlation calculation unit 140 calculates a correlation by matching the technology field information of the user and the technology classification information of each candidate patent held.

The correlation calculation unit 140 may calculate a correlation by mapping the technology field input by the user with the technology classification information included in the user-owned candidate patent searched as related to the user.

The correlation calculation unit 140 refers to the technology field information storage unit 180 and calculates a correlation based on the relationship information between the technology field information of the user and the technology classification information of each candidate patent.

The correlation calculation unit 140 may calculate a correlation based on a degree of relation between each technology field stored in the technology field information storage unit 180 and the technology classification information of the patent.

The correlation calculator 140 calculates a correlation by matching the address information of the user and the address information of the inventor of each patent candidate.

The correlation calculator 140 may calculate a correlation by matching the inventor address information and the user's address information among the patent candidates retrieved by the patent candidate search unit 130. If the address information of the inventor and the address information of the user are identical or similar among the patent candidates held, it may be calculated that the possibility of the patent of the user is higher than that of other patent candidates whose address information does not match. That is, it can be calculated that the correlation is high when the address information of the inventor and the address information of the user are identical among the patents of the patent candidates held.

The correlation calculator 140 calculates a correlation by matching the user's history information and the applicant information of each patent candidate.

The correlation calculating unit 140 may calculate a correlation by matching applicant information and user history information among the patent candidates searched by the patent candidate search unit 130. If the applicant information and the user's history information are identical or similar among the patent candidates held, it may be calculated that the possibility of the patent of the user is higher than that of other patent candidates whose applicant information does not match. That is, if the applicant information and the user's history information match among the patents of the patent candidates held, the correlation may be calculated to be high.

For example, if there are n patents searched as the user's patent candidates in the patent candidate search unit, the patent P1 judged to have the highest correlation with the user has a correlation score of 99%, followed by a high correlation with the user. The correlation score with the judged patent P2 can be calculated as 91%, the correlation score with the patent P3 is 82%, the correlation score with the patent P4 is 69%, and the correlation score with the patent P5 is 51%. The correlation calculation unit 140 may calculate a correlation based on the user's personal information and the technology classification information of the patent or the bibliographic information of the patent based on the patent searched as the user's patent candidate in the patent candidate search unit.

6 is a diagram illustrating an example of calculating a correlation by calculating and synthesizing a patent candidate held according to an embodiment of the present invention as a first correlation and a second correlation.

The correlation calculator 140 classifies the searched patent candidates into one or more groups, calculates the correlation between the classified group and the user as a first correlation, and calculates the correlation between each of the patent candidates held and the user as a second correlation. The correlation is calculated by combining the first correlation and the second correlation by calculating the correlation.

The correlation calculation unit 140 may classify the possessed patent candidates retrieved by the patent candidate search unit 130 into groups based on patent bibliographic information of patent data, technology classification information, and user's personal information. The correlation calculation unit 140 may group patents having similar patent bibliographic information among patent candidates searched by the patent candidate search unit 130, and may group patents having similar technical classification information. In addition, patents with similar personal information of users can be grouped. That is, among the patent candidates retrieved by the patent candidate search unit 130, patents having similar characteristics are grouped to calculate a correlation between the classified group and the user, thereby making the first correlation.

The correlation calculation unit 140 may calculate a correlation between each of the patents included in the grouped group and a user to obtain a second correlation. In addition, a correlation obtained by combining the first correlation and the second correlation may be calculated.

The total correlation score obtained by combining the first correlation and the second correlation may be a score combining the first correlation and the second correlation, and is synthesized by adding an additional point to the first correlation score or the second correlation score. can do.

For example, patent candidates searched by the patent candidate search unit 130 are patents P1 to P8, and the correlation calculation unit 140 classifies the patents P1 to P4 into group 1, and the patents P5 to P8 into group 2 I did. The first correlation score for the user and group 1 was calculated as 89%, and the second correlation score for each of the patents was 99% for patent P1, 7% for patent P2, 92% for patent P3, and 84% for patent P4. Was calculated as In addition, the first correlation score for the patent of the user and group 2 was calculated as 15%, and each patent P5 was 41%, the patent P6 was 38%, the patent P7 was 17%, and the patent P8 was a second correlation score of 94%. Was calculated. Assuming that the total correlation score, which is the sum of the first correlation and the second correlation, is the sum of the first correlation score and the second correlation score, the total score of patent P1 of group 1 is the highest at 188%, followed by As a result, the composite score of patent P3 was 181%, the composite score of patent P4 was 173%, and the composite score of patent P8, group 2, was 109%. Group 2's patent P8 has a higher overall score than group 1's P2. Even if the group's correlation score is high, the user and each patent score are high, so if the overall score is high, then the patent may be a candidate owned by the user. have.

7 is a flowchart showing a method for providing a patent-based social network according to an embodiment of the present invention.

The above patent-based social network providing system can be implemented and realized by a patent-based social network providing method, and the technical idea of the patent-based social network providing system can be applied as it is.

Such a method of providing a patent-based social network may be implemented as an application or in the form of program instructions that can be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded in the computer-readable recording medium may be specially designed and constructed for the present invention, and may be known and usable to those skilled in the computer software field.

In step S701 of storing the patent data, the patent data storage unit 110 stores patent data including patent bibliographic information and technology classification information.

The patent data stored in the step of storing the patent data (S701) may be intellectual property or intellectual property, which is all property arising from intellectual activity, and may include industrial property rights and copyrights such as patents, utility models, trademarks, and designs. I can.

The patent bibliographic information included in the patent data includes codes such as application number, publication number, registration number, etc., inventor information, personal information such as applicant information, patent classification, and applicant code. In addition, the technology classification information may be one of the information included in the patent bibliographic information, and the technology classification information is IPC (International Patent Classification), CPC (Cooperative Patent Classification), UPC (US Patent Classes), EPC (European Patent Classification). ), FI (File Index), or F-TERM. IPC used a different classification system for each country, such as the United States, Japan, and Europe, but the international patent classification (IPC) was introduced in 1968 as an internationally unified patent classification system was needed. CPC was established in 2013 as an internal classification system in the US and Europe, and until recently, the number of countries using CPC is increasing. In the case of FI, it is a more subdivided code based on the IPC classification code, and is mainly used in Japan, and F-TERM is developed by subdividing and diversifying based on FI for rapid examination by the Japanese Patent Office in response to the developing technology level. This is one code.

Patent bibliographic information includes information on inventors of each patent.

The patent bibliographic information includes information on the inventor address of each patent.

In the patent bibliographic information, information on the inventor is described, but the information on who invented the patent needs to be clearly stated. Therefore, it can include the inventor's name and the inventor's address.

The patent bibliographic information includes information on the applicant of each patent.

The applicant information included in the patent bibliographic information may be the holder of a patent application. The applicant information may be an individual or a company, and the applicant information may be a company name or applicant code information. Applicant code is a unique number issued by the applicant to apply for a patent, and the applicant can be identified by the applicant code. In addition, the applicant information may include the applicant's address information. In order to clearly describe the applicant's information, the applicant's address information may be included.

In the step of receiving the user's personal information (S702), the user information receiving unit 120 receives the user's personal information.

The user's personal information received in step S702 of receiving the user's personal information may be information capable of identifying an individual user who uses a social network. Users can sign up to use the social network, and when signing up, they can enter their personal information.

The user's personal information includes the user's name information expressed in one or more languages.

The user's personal information received in the step (S702) of receiving the user's personal information may include the user's name information, and when the user signs up to use the social network, the user's name is expressed in various languages Name information can be saved. In particular, the user can store information on the user's name expressed in foreign languages that have a high possibility to advance or apply for a patent in the technical field to which he belongs. The user's name information may be expressed in various languages such as Korean, English, Japanese, Chinese, and Russian.

User's personal information includes user's technical field information.

The user's personal information received in the step of receiving the user's personal information (S702) may include the user's technical field information, and the technical field information is a field related to the user's major or a field in which the user is professionally engaged. I can.

The user's personal information includes the user's address information.

The user's personal information received in step S702 of receiving the user's personal information may include address information where the user currently lives.

User's personal information includes user's history information.

The user's personal information received in the step (S702) of receiving the user's personal information may include the user's history information, and the user's history information is information on the work place where the user has worked or information on the history of the user's job change. Can be

In the step of storing the degree of relation information between the technical classification information of the patent, a plurality of technical fields and the relation degree information between the technical classification information of each technical field and the patent are stored in the technical field storage unit.

The step of storing the information on the degree of relevance between the technical classification information of the patent is information on the degree of relevance and the degree of relevance by matching the information on the technical field in which the user can engage or the technical field in which the user can major and the technical classification information of the patent. Can be saved.

The user's technical field information is selected and input from a user among a plurality of technical fields.

The user's technical field information may select one or more of the technical fields stored in the step of storing the relationship degree information between the technical classification information of the patent when the user wants to input the user's technical field. When the user selects a technical field related to the user, patent technology classification information related to the selected technical field may be stored together.

In the step (S703) of searching for a user's patent candidate, the patent bibliographic information stored in the step (S701) of storing the patent data in the patent candidate search unit (130) and the personal information of the user are received in the step (S702). A patent candidate of the user is searched based on the user's personal information.

In the step of searching for a patent candidate owned by the user (S703), the user can search for a patent candidate owned by the user, and based on the user's information and the patent information, the user can search for a patent filed by the user or registered as an inventor. Can search for candidate patents related to. That is, the user's patent candidate may be a patent that may be a patent related to the user. By matching the inventor name and user name information, which is the patent bibliographic information stored in the step of storing the patent data (S701), a patent related to a user can be searched, and a patent related to a user can be searched by matching the inventor address and user address information. I can. In addition, it is possible to search for a patent related to a user by matching the applicant information of the patent bibliographic information with the user's name or the user's history information.

In step S703 of searching for a user's patent candidate, the user's name information expressed in one or more languages and the inventor information of each patent are matched to search for a user's patent candidate.

In the step of searching for a patent candidate owned by the user (S703), the user's name information expressed in various languages and the inventor information of the patent may be matched to search for a patent related to the user. Among the patents of each country, the inventor's name in the patent bibliographic information can be expressed in the language of each country. The user's patent candidates can be searched by matching the patent's inventor information with the various languages that the user entered when signing up.If the name information entered by the user and the inventor information of the patent are different, they are commonly used in each country. The name expression can be matched with the user name to search for the user's patent candidate.

In the step of searching for the user's patent candidate (S703), the user's patent candidate may be searched by matching the company information of the user's history information expressed in one or more languages and the applicant information of each patent.

In the step S703 of searching for the user's patent candidate, the user's company information expressed in various languages and the patent applicant information may be matched to search for a patent related to the user. Applicant information among the patents of each country can be expressed in the language of each country.

The step of calculating the correlation between the searched patent candidate and the user as a score is the step of receiving the technical classification information stored in the step (S701) of storing the patent data in the correlation calculator 140 and the personal information of the user (S702). Based on the user's personal information received in ), the correlation between the searched patent candidate and the user is calculated as a score.

In the step (S704) of calculating the correlation between the searched patent candidate and the user as a score, the technology classification information stored in the step (S701) of storing the patent data and the technology field information among the user's personal information can be matched. Among the candidate patents searched by matching personal information and patent bibliographic information, the correlation can be calculated as a score based on the patent in which the technology classification information of the patent and the user's technology field are matched.

In step S704 of calculating a correlation between the searched patent candidate and the user as a score (S704), the correlation is calculated by matching the technical field information of the user and the technology classification information of each candidate patent.

In the step of calculating the correlation between the searched patent candidate and the user as a score (S704), the correlation can be calculated by mapping the technical field input by the user and the technology classification information included in the searched user-owned candidate patent that is related to the user. have.

In the step (S704) of calculating the correlation between the searched patent candidate and the user as a score, referring to the technology field information storage unit 180, the relationship between the user's technology field information and the technology classification information of each candidate patent The correlation is calculated based on.

In the step of calculating the correlation between the searched patent candidate and the user as a score (S704), the correlation can be calculated based on the degree of relevance between each technology field stored in the technology field information storage unit 180 and the technology classification information of the patent. have.

In step S704 of calculating the correlation between the searched patent candidate and the user as a score (S704), the correlation is calculated by matching the address information of the user and the address information of the inventor of each patent candidate.

In the step of calculating the correlation between the searched patent candidate and the user as a score (S704), the address information of the inventor and the address information of the user are matched among the searched patent candidates of the user (S703). Relationships can be calculated. If the address information of the inventor and the address information of the user are identical or similar among the patent candidates held, it may be calculated that the possibility of the patent of the user is higher than that of other patent candidates whose address information does not match. That is, it can be calculated that the correlation is high when the address information of the inventor and the address information of the user are identical among the patents of the patent candidates held.

In the step (S704) of calculating a correlation between the searched patent candidate and the user as a score, the correlation is calculated by matching the user's history information and the applicant information of each patent candidate.

The step (S704) of calculating the correlation between the searched patent candidate and the user as a score is performed by matching the applicant information and the user's history information among the searched patent candidates of the user (S703). Can be calculated. If the applicant information and the user's history information are identical or similar among the patent candidates held, it may be calculated that the possibility of the patent of the user is higher than that of other patent candidates whose applicant information does not match. That is, if the applicant information and the user's history information match among the patents of the patent candidates held, the correlation may be calculated to be high.

In the step of calculating the correlation between the searched patent candidates and the user as a score (S704), the searched patent candidates are classified into one or more groups, the correlation between the classified group and the user is calculated as a first correlation, and held The correlation between each of the patent candidates and the user is calculated as a second correlation, and the correlation is calculated by synthesizing the first correlation and the second correlation.

In the step (S704) of calculating the correlation between the searched patent candidates and the user as a score, the searched patent candidates searched in the step (S703) of searching for the user's patent candidates are converted to patent bibliographic information, technology classification information, and user's It can be classified into groups based on personal information. In the step (S704) of calculating the correlation between the searched patent candidates and the user as a score, patents with similar patent bibliographic information can be grouped among the patent candidates searched in the search step (S703) of the user's patent candidates. Patents with similar classification information can be grouped. In addition, patents with similar personal information of users can be grouped. That is, patents with similar characteristics are grouped among the patent candidates retrieved in step S703 of searching for the user's owned patent candidates, and a correlation between the classified group and the user may be calculated, thereby making the first correlation.

After grouping, the correlation between the user and each grouped group can be calculated.

In the step (S704) of calculating the correlation between the searched patent candidate and the user as a score (S704), a correlation between each of the patents included in the grouped group and the user may be calculated as a second correlation. In addition, a correlation obtained by combining the first correlation and the second correlation may be calculated.

The total correlation score obtained by combining the first correlation and the second correlation may be a score combining the first correlation and the second correlation, and is synthesized by adding an additional point to the first correlation score or the second correlation score. can do.

In the step (S705) of receiving selection input of whether or not to hold a patent from the user, the patent selection unit 150 provides the user with the list of patent candidates and the correlation score of each candidate, and selects whether or not to hold a patent from the user Receive input

In the step (S705) of receiving a selection input of whether or not to hold a patent from the user, the user's patent candidate is finally determined to the user based on the correlation score calculated in the step (S704) of calculating the searched patent candidate and the user's correlation as a score. It can be recommended as, and the user can select a patent owned by the user based on the correlation score.

In the step of matching and storing the patent selected by the user with the user (S706), the patent selected by the user is matched with the user in the step (S705) of receiving a selection input from the user whether or not to hold a patent in the user-user patent matching information storage unit 160 Save it.

In the step (S706) of matching and storing the patent selected by the user with the user (S706), in the step (S705) of receiving a selection input from the user whether or not to hold a patent, the user matches the patent selected as a patent related to the user or a patent owned by the user. Can be saved. In addition, the patent selected by the user may be matched with user personal information and stored as user personal information.

In the step of constructing and providing a social network based on the matching information (S707), a social network is created based on the matching information stored in the step (S706) of matching and storing the patent selected by the user in the social network provider 170. Build and provide.

In the step S707 of establishing and providing a social relational network based on the matching information, a social relational network may be constructed and provided based on the personal information of the individual matched and stored with the user's personal information. If you want to form a social network between people working in the user's technical field, you can recommend users working in the same technical field to the user based on the user's technical field.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CDROMs and DVDs, and magnetic-optical media such as floptical disks. , And a hardware device specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the present invention, and vice versa.

Although the above has been described with reference to embodiments, those skilled in the art can variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims.

110: patent data storage unit 120: user information receiving unit
130: patent candidate search unit 140: correlation calculation unit
150: patent selection unit 160: patent matching information storage unit
170: social network provision unit 180: technology field information storage unit

Claims (15)

A patent data storage unit that stores patent data including patent bibliographic information and technology classification information;
A user information receiving unit for receiving user's personal information;
A patent candidate search unit for searching for a patent candidate held by a user based on the patent bibliographic information stored in the patent data storage unit and the personal information of the user received by the user information receiving unit;
A correlation calculation unit calculating a correlation between the searched patent candidate and the user as a score based on the technology classification information stored in the patent data storage unit and the personal information of the user received from the user information receiving unit;
A patent selection unit that provides the user with the list of patent candidates and the correlation score of each of the patent candidates, and receives a selection input of whether or not to hold a patent from the user;
A user patent matching information storage unit matching and storing the patent selected by the user by the patent selection unit; And
A social network providing unit that establishes and provides a social network based on the matching information stored in the user patent matching information storage unit
Including,
The correlation calculation unit
Classify the searched patent candidates into one or more groups,
A correlation between the classified group and the user is calculated as a first correlation,
The correlation between each of the patent candidates and the user is calculated as a second correlation,
Computing the correlation by synthesizing the first correlation and the second correlation
Patent-based social network providing system, characterized in that. The method of claim 1,
The user's personal information includes name information of the user expressed in one or more languages,
The patent bibliographic information stored in the patent data storage unit includes the inventor information of each patent,
The patent candidate search unit
Searching for patent candidates owned by the user by matching the user's name information expressed in one or more languages with the inventor information of each patent
Patent-based social network providing system, characterized in that. The method of claim 1,
The user's personal information includes the user's technical field information,
The correlation calculation unit
Computing a correlation by matching the technical field information of the user and the technical classification information of each patent candidate
Patent-based social network providing system, characterized in that. The method of claim 3,
A technology field information storage unit that stores information on a plurality of technical fields and the degree of relationship between each technical field and the technical classification information of a patent
Including more,
The technical field information of the user is selected and input from the user among the plurality of technical fields,
The correlation calculation unit
By referring to the technology field information storage unit, calculating a correlation based on the relationship information between the technology field information of the user and the technology classification information of each candidate patent
Patent-based social network providing system, characterized in that. The method of claim 1,
The user's personal information includes the user's address information,
The patent bibliographic information stored in the patent data storage unit includes the inventor address information of each patent,
The correlation calculation unit
Computing a correlation by matching the address information of the user and the address information of the inventors of each patent candidate
Patent-based social network providing system, characterized in that. The method of claim 1,
The user's personal information includes the user's history information,
The patent bibliographic information stored in the patent data storage unit includes applicant information of each patent,
The correlation calculation unit
Computing a correlation by matching the user's history information and the applicant information of each of the patent candidates
Patent-based social network providing system, characterized in that. delete Storing patent data including patent bibliographic information and technology classification information in the patent data storage unit;
Receiving personal information of a user in a user information receiving unit;
Retention of the user based on the patent bibliographic information stored in the step of storing the patent data including the patent bibliographic information and technology classification information in the patent candidate search unit and the personal information of the user received in the step of receiving the user's personal information Searching for a patent candidate;
The retrieved proprietary patent based on the technology classification information stored in the step of storing the patent data including the patent bibliographic information and the technology classification information in the correlation calculation unit and the personal information of the user received in the step of receiving the user's personal information Calculating a correlation between a candidate and the user as a score;
Providing the user with the list of patent candidates and the correlation score of each patent candidate, and receiving a selection input of whether or not to hold a patent from the user;
Matching and storing the patent selected by the user with the user in the step of receiving a selection input of whether or not to hold a patent from the user in a user patent matching information storage unit; And
Constructing and providing a social network based on the matching information stored in the step of matching and storing the patent selected by the user by the social network providing unit
Including,
The step of calculating the correlation between the searched patent candidate and the user as a score based on the user's personal information
Classify the searched patent candidates into one or more groups,
A correlation between the classified group and the user is calculated as a first correlation,
The correlation between each of the patent candidates and the user is calculated as a second correlation,
Computing the correlation by synthesizing the first correlation and the second correlation
A method of providing a patent-based social network, characterized in that. The method of claim 8,
The user's personal information includes name information of the user expressed in one or more languages,
The patent bibliographic information stored in the step of storing patent data including the patent bibliographic information and technology classification information includes the inventor information of each patent,
The step of searching for patent candidates owned by the user based on the user's personal information
Searching for patent candidates owned by the user by matching the user's name information expressed in one or more languages with the inventor information of each patent
A method of providing a patent-based social network, characterized in that. The method of claim 8,
The user's personal information includes the user's technical field information,
The step of calculating the correlation between the searched patent candidate and the user as a score based on the user's personal information
Computing a correlation by matching the technical field information of the user and the technical classification information of each patent candidate
A method of providing a patent-based social network, characterized in that. The method of claim 10,
Storing a plurality of technical fields in the technical field information storage unit and the degree of relationship information between each technical field and the technical classification information of the patent
Including more,
The technical field information of the user is selected and input from the user among the plurality of technical fields,
The step of calculating the correlation between the searched patent candidate and the user as a score based on the user's personal information
With reference to the step of storing relational information between the plurality of technical fields and technical classification information of each technical field and patent, based on the relation degree information between the technical field information of the user and the technical classification information of each candidate patent To calculate the correlation with
A method of providing a patent-based social network, characterized in that. The method of claim 8,
The user's personal information includes the user's address information,
The patent bibliographic information stored in the step of storing patent data including the patent bibliographic information and technical classification information includes the inventor address information of each patent,
The step of calculating the correlation between the searched patent candidate and the user as a score based on the user's personal information
Computing a correlation by matching the address information of the user and the address information of the inventors of each patent candidate
A method of providing a patent-based social network, characterized in that.
The method of claim 8,
The user's personal information includes the user's history information,
The patent bibliographic information stored in the step of storing patent data including the patent bibliographic information and technology classification information includes the applicant information of each patent,
The step of calculating the correlation between the searched patent candidate and the user as a score based on the user's personal information
Computing a correlation by matching the user's history information and the applicant information of each of the patent candidates
A method of providing a patent-based social network, characterized in that. delete A recording medium on which a program for executing the method of any one of claims 8 to 13 is recorded.

Images