JP2016126392A - Information providing device and method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily acquire information related to a laboratory of a university.SOLUTION: An information providing device comprises: a processing part 10 for performing information providing processing; and a storage part 20 comprising a laboratory database 21 in which, plural pieces of laboratory information and one or plural study categories corresponding to each of the plural pieces of laboratory information, are associated. Each of the plural pieces of laboratory information is information related to a laboratory of a university. The information providing processing which is performed by the processing part 10 comprises study category determination processing 11 for determining a study category which is an object of information providing, extraction processing 13 for extracting from the laboratory database 21, one or plural pieces of laboratory information corresponding to the study category which is determined by the determination processing, and output processing 14 for outputting the extracted one or plural pieces of laboratory information.SELECTED DRAWING: Figure 1

Description

  The present invention relates to information provision in a university laboratory.

  Information on university laboratories is generally posted on the university website.

JP 2011-14035 A

  The university has several departments such as engineering department and science department. In many cases, when selecting a course for a university, it is necessary to decide which department of which university to enter.

  However, it is not always easy for prospective students to select the appropriate faculty from the research they are interested in. For example, since the department name may not directly suggest the research content, it is not easy to select the department corresponding to the research of interest from the department name alone.

  Even if you select a faculty that you think is related to a research that you are interested in, based on the name of the faculty, the research may not be conducted in that department. In addition, even if a department at a certain university conducts an interesting study by a prospective university student, the research may not be carried out at a department with the same name or similar name at another university.

  One way to check whether a researcher is interested in a particular university is to refer to the university's home page. However, laboratory information on the university's website is only published according to the organization of the university, such as a faculty, department, graduate school, major, etc. It is not easy to confirm the existence of a research laboratory. Moreover, it is even more difficult to confirm the existence of laboratories that conduct specific research among many universities.

  Difficulties in finding a laboratory that conducts a specific study occur not only when a prospective university student decides where to go, but also when a company wants to find a laboratory that conducts a specific study. .

Here, a system that provides store information rather than information on a university laboratory is disclosed in many documents such as Patent Document 1. However, no information has been proposed for obtaining information on university laboratories more easily.
Therefore, it is desirable to obtain information on university laboratories more easily.

  An aspect of the present invention is a laboratory configured by associating a processing unit that performs information providing processing, a plurality of laboratory information, and one or a plurality of research categories corresponding to each of the plurality of laboratory information. A storage unit having a database. Each of the plurality of laboratory information is information on a university laboratory. The information providing process performed by the processing unit includes a category determining process for determining a research category to be an information providing target, and one or a plurality of laboratory information corresponding to the research category determined by the determining process. An extraction process for extracting from the laboratory database, and an output process for outputting the extracted one or more pieces of laboratory information.

  Another aspect of the present invention is a method executed by the information providing apparatus. Still another embodiment of the present invention is a computer program for causing a computer to execute as the information providing apparatus. Still another object of the present invention is a computer program for causing a computer to execute a method executed by the information providing apparatus. The computer program may be recorded on a recording medium.

  According to the present invention, information about a university laboratory can be obtained more easily.

It is a figure which shows an information provision apparatus. It is a flowchart which shows an information provision process. It is a flowchart which shows an information provision process. It is a figure which shows a laboratory database. It is a figure which shows a research category database and a university database. It is a figure which shows a researcher database and a research category-society database. It is a figure which shows a laboratory news database and a news registration process. It is a figure which shows a user database and a news output process. It is a flowchart which shows a laboratory registration process.

[1. Outline of Embodiment]
The information providing apparatus according to the embodiment includes a processing unit and a storage unit. The processing unit performs information provision processing. The storage unit has a laboratory database configured by associating a plurality of laboratory information with one or a plurality of research categories corresponding to the plurality of laboratory information. Each of the plurality of laboratory information is information on a university laboratory.
The information providing process performed by the processing unit includes a category determining process for determining a research category to be provided with information, and one or a plurality of laboratory information corresponding to the research category determined by the determining process. And an output process for outputting the extracted one or more pieces of laboratory information.

The processing unit preferably performs a narrowing condition setting process for setting a narrowing condition in the extraction process.
When the processing unit detects the news transmitted by the laboratory via the Internet, the processing unit refers to the laboratory database, acquires one or a plurality of research categories corresponding to the laboratory that transmitted the news, and acquires the news 1 Alternatively, it is preferable to perform news registration processing in which a plurality of research categories are associated with each other and registered in the laboratory news database.
The processing unit preferably performs a news output process of reading out news corresponding to the research category designated by the user from the laboratory news database and outputting the news.
It is preferable to include.
The processing unit preferably performs a laboratory registration process for accepting a laboratory registration application via the Internet.

[2. Information providing device]
Hereinafter, description will be given with reference to the accompanying drawings. As shown in FIG. 1, the information providing apparatus 1 according to the present embodiment includes a processing unit 10 and a storage unit 20. The information providing apparatus 1 is configured by a computer having a processing unit 10 and a storage unit 20. The information providing apparatus 1 is an Internet server that provides information via the Internet, for example. The information providing apparatus 1 may be a stand-alone computer.

  The processing unit 10 executes the laboratory information provision processing 11 to 14 and other processing 15 to 17 related to the laboratory information provision by executing the computer program stored in the storage unit 20. The storage unit 20 includes a plurality of databases 21 to 27 used for these processes 11 to 17.

  The information providing apparatus 1 can be accessed from the terminals 3 and 4 via the Internet 2. The terminals 3 and 4 are terminals that can access the Internet 2 and are configured by, for example, a personal computer, a smartphone, or a tablet computer. The terminals 3 and 4 include, for example, a user terminal 3 and a university laboratory terminal 4. The user is, for example, a person who plans to enter a university. A person who intends to go on to university can use the information providing apparatus 1 to select a course.

  The processing unit 10 performs a research category determination process, an extraction process 13 and an output process 14 as the information providing processes 11 to 14 (see FIGS. 2 and 3). The processing unit 10 performs a narrowing-down condition setting process 12 as necessary. The processing unit 10 includes a news registration process 15 (see FIG. 7B), a laboratory news output process 16 (see FIG. 8B), and a laboratory registration process 17 (see FIG. 9) as other processes 15-17. See). Hereinafter, a plurality of databases 21 to 27 used for these processes will be described.

[2.1 Laboratory database]
The laboratory database 21 is a database in which a plurality of laboratories belonging to a plurality of universities are registered. The university to which the laboratory registered in the laboratory database 21 belongs may be a university only in a specific country (for example, Japan), or may be a university in a plurality of countries.
As shown in FIG. 4A, the laboratory database 21 includes a plurality of laboratory data 210 corresponding to a plurality of laboratories. Each laboratory data 210 includes laboratory information 2110 and one or more research category information 2130. The one or more research category information 2130 is associated with the laboratory information 2110 and indicates one or more categories of research conducted in the laboratory indicated by the laboratory information 2110.

The research category according to the embodiment is a unique category employed in the information providing apparatus 1. A plurality of research categories used in the information providing apparatus 1 are registered in the research category database 22. In the research category information 2130 of the laboratory database 21, one or a plurality of research categories corresponding to research conducted in the laboratory among the plurality of research categories registered in the research category database 22 are set. The research category information 2130 of the laboratory database 21 may indicate the research category ID 221 of the research category database 22 or may indicate the research category 222 of the database 22.
The research category information 2130 in the laboratory database 21 is related to the research category ID 221 in the research category database 22 or the research category 222 in the database 22.

  By associating the research category information 2130 with the laboratory information 2110, the laboratory database 21 can search the laboratory information 2110 using the research category information 2130 as a search key. When a search is performed on a laboratory database 21 in which laboratories of a plurality of universities are registered using a research category as a search key, one or more laboratories corresponding to the research category belong to those laboratories. Regardless of the university or faculty to be extracted.

  As illustrated in FIG. 4B, the laboratory information 2110 includes a plurality of pieces of information 2111 to 2124 regarding the laboratory. The laboratory information 2110 includes, for example, a laboratory ID 2111, a laboratory URL 2112, a laboratory name 2112, an affiliated researcher name 2114, a title of the affiliated researcher 2115, a university 2116 of the laboratory, an organization 2117 of the laboratory, Information 2119, laboratory keyword 2119, laboratory introduction 2120, laboratory image 2121, laboratory apparatus 2122 used in the laboratory, laboratory news 2123, and joint research request 2124. In the output process 14, some or all of the information is output.

The laboratory ID 2111 is a laboratory identifier. The laboratory URL 2112 is information indicating the address of the laboratory website. The laboratory name 2112 is information indicating the name of the laboratory. The affiliated researcher name 2114 is information indicating a researcher who belongs to the laboratory. When there are a plurality of researchers belonging to one laboratory, one laboratory information 2110 has a plurality of affiliated researcher names 2114. The affiliation researcher name 2114 is related to the researcher name 241 (see FIG. 6A) in the researcher database 24.
The post 2115 of the affiliated researcher is information indicating the post of each of one or a plurality of researchers. The title indicates the position of a researcher, for example, a professor, an associate professor, or an assistant professor.

The laboratory university 2116 is information indicating the university to which the laboratory belongs. The affiliated university 2116 is related to the university 2310 (see FIG. 5B) in the university database 23.
The laboratory organization 2117 is information indicating the university organization to which the laboratory belongs. The university organization is, for example, a department, a graduate school, or a research institute. The affiliated organization 2117 is related to information 2324a (see FIG. 5C) indicating the department of the department data 2324 of the university database 23 or information 2325a indicating the graduate school of the graduate school data 2325.
In this embodiment, the affiliated university 2116 and the affiliated organization 2117 are both examples of information indicating the affiliated organization to which the laboratory belongs. Hereinafter, the affiliated university 216 is also referred to as “first affiliated institution”, and the affiliated organization 2117 is also referred to as “second affiliated institution”.

  The laboratory location 2118 is information indicating the location of the laboratory. The information indicating the location includes, for example, a country name and a domestic address. The keyword 2119 related to the laboratory is a keyword indicating the research content in the laboratory and other keywords related to the laboratory. Laboratory information 2110 can include one or more keywords 2119.

  The laboratory introduction sentence 21120 includes a sentence introducing the laboratory. The laboratory introduction sentence 2112 is output to the screen of the terminal 3 when providing the laboratory information by the output process 14. The laboratory image 2121 includes an image for visually introducing the laboratory, such as an image taken of the laboratory. The experimental device 2122 is information indicating the experimental device 2122 used in the laboratory.

  The laboratory news data 2123 is data indicating news transmitted from a laboratory, such as laboratory news posted on a laboratory website. The laboratory news 2123 may be text information of news transmitted from the laboratory, or may be URL of news transmitted from the laboratory. The joint research request 2124 is information indicating whether or not the laboratory desires joint research with a company or the like.

[2.2 Research category database]
The research category database 22 is a database in which a plurality of research categories for classifying various laboratories are registered. As shown in FIG. 5A, the research category database 22 includes a plurality of research category data 220 corresponding to a plurality of research categories. Each research category data 220 has a research category ID 221, a research category 222, a keyword 223, and a related category 224.

  The research category ID 221 is a research category identifier. The research category 222 is information indicating a research category. The plurality of research categories used in the information providing apparatus 1 are, for example, “nuclear fusion” that is a research category related to nuclear fusion, “nuclear power” that is a research category related to nuclear power, and “elementary particle that is a research category related to elementary particles / nuclei” ”,“ Universe ”, which is a research category related to space,“ light ”, which is research related to light, and“ superconductivity ”, which is research related to superconductivity.

  The keyword 223 is a keyword related to the research category 222. One research category data 220 may include one or more keywords 223. For example, when the research category 222 is “nuclear fusion”, the plurality of keywords 222 include, for example, “plasma generation / control”, “nuclear fusion”, “magnetic field confinement”, “electromagnetic fluid”, “high temperature plasma”. be able to.

  The related category 224 is information indicating another research category related to the research category 222. One research category data 220 may include one or more related categories 224. Other research categories indicated by the related category 224 are also research categories registered in the research category database 22. When the research category 222 is “nuclear fusion”, the plurality of related categories 224 include, for example, information indicating “elementary particles”, “plasma”, “superconductivity”, “nuclear power”, and “space” as other research categories. including.

[2.3 University database]
The university database 23 is a database in which a plurality of universities are registered. The universities registered in the university database 23 include the universities indicated by the affiliated universities 2116 in the laboratory database 21. As shown in FIG. 5B, the university database 23 includes a plurality of university data 230 corresponding to a plurality of universities. Each university data 230 includes a university 2310 and university detailed data 2320.

  The university 2310 is information indicating a university. The detailed university data 2320 indicates detailed university data, and includes, for example, a university classification 2321, a university ranking 2322, a university deviation value 2323, undergraduate data 2324, and graduate school data 2325.

  The university division 2321 is information indicating the division of the university. The divisions of universities are, for example, national, public, and private. The university ranking 2322 is information indicating the rank in the university ranking. The university ranking may be a university ranking in a specific country (for example, Japan) or a university ranking in the world. The university deviation value 2323 is information indicating the university deviation value in the university entrance examination. When the deviation values are different for a plurality of departments, the deviation values for the whole university can be calculated based on the deviation values for all the departments in the university. In this case, the deviation value of the entire university can be, for example, the average value of the deviation values for a plurality of departments.

  In the present embodiment, the university ranking 2322 and the university deviation value 2323 are examples of the evaluation index of the university to which the laboratory belongs. In the present embodiment, the university deviation value 2323 is an example of the entrance examination difficulty level. The difficulty level of the entrance examination is not limited to the deviation value itself, but may be another index that is ranked based on the deviation value, or another index that indicates the difficulty level of the entrance examination without relying on the deviation value.

  As shown in FIG. 5C, the undergraduate data 2324 includes information 2324a indicating one or a plurality of undergraduates provided in the university, and information 2324b indicating a deviation value for each undergraduate. For example, when a certain university has a plurality of departments including the A department and the B department, the department data 2324 of the university data 230 of the university includes information indicating a plurality of departments including the A department and the B department. 2324a and information 2324b indicating deviation values of each of a plurality of departments including the A department and the B department.

  The undergraduate data 2324 is an example of entrance examination difficulty level information indicating the entrance difficulty level of each of a plurality of university entrance examination recruitment categories. That is to say, the undergraduate data 2324 is entrance difficulty information when the university entrance examination recruitment category is undergraduate. When the university entrance examination category of a certain university is not an undergraduate unit, the university data 230 has entrance examination difficulty information for each university entrance examination recruitment category instead of or in addition to the undergraduate data 2324.

  As shown in FIG. 5D, the graduate school data 2325 includes information 2325a indicating one or more graduate schools provided in the university, information 2325b indicating a department related to the graduate school, and the like. Each of the faculties indicated by 2325b has a weight 2325c.

A graduate school or the like refers to an organization other than an undergraduate department that is a university entrance examination category, for example, a graduate school or a research institute in a university. The graduate school data 2325 is an example of data indicating a university organization that does not match the university entrance examination recruitment category among the university organizations.
The graduate school data 2325 is used to identify a university entrance examination recruitment category related to a laboratory belonging to a university organization that does not match the university entrance examination recruitment category. The graduate school data 2325 is used to calculate the virtual entrance examination difficulty level of the university organization that does not match the university entrance examination recruitment category. How to calculate the virtual entrance exam difficulty will be described later.

  Information 2325b indicating a department related to a graduate school or the like indicates one or a plurality of departments related to the graduate school or the like indicated by the information 2325a, that is, a college entrance examination recruitment category. In the case of the example in FIG. 5D, a plurality of departments including the B department and the A department are associated with the department related to the P Graduate School. In addition, as faculties related to the Graduate School of Q, a plurality of faculties including C faculty and F faculty are associated. Furthermore, the A department and the C department are associated with the R laboratory.

  Here, a person who is considering going on to a university may want to consider a deviation value that is an entrance examination difficulty level. However, a laboratory may belong to a graduate school or a research institute in the university, not a department that often corresponds to the university entrance examination category due to the organization of the university. When a laboratory belongs to a graduate school or the like, the degree of difficulty in entrance to the laboratory is unknown only by the undergraduate data 2324 indicating the deviation value for each undergraduate department that is a university entrance examination recruitment category.

  In the present embodiment, the graduate school data 2325 is one or a plurality of data related to a university organization such as a graduate school or a research institute that does not correspond to a department that is a university entrance examination category. Since the faculties are associated and configured, it is possible to specify the faculties related to the graduate school or the research institute.

Further, in the graduate school data 2325 of this embodiment, since a plurality of departments can be associated with each university organization, appropriate presentation of a virtual entrance examination difficulty level of a university organization other than the department is appropriate. Is possible.
For example, when a graduate school of science and engineering is set up at a university, there are faculties of science and engineering as faculties at that university. And many. In this case, in the graduate school data 2325, the faculties of science and engineering are associated with each other as faculties related to the graduate school of science and engineering.

  The weight 2325c indicates the degree to which the department indicated by the information 2325b indicating the related department is related to the graduate school indicated by the information 2325a indicating the graduate school. The weight 2325c is appropriately set according to the degree of association between the graduate school and the like and the department. The degree of association between a graduate school or the like and a department is set based on, for example, the ratio of those who are from a certain department to all graduates of a certain graduate school.

[2.4 Researcher database]
The researcher database 24 is a database in which a plurality of researchers are registered. The researchers registered in the researcher database 24 include the researchers indicated by the researcher name 2114 of the laboratory database 21. As shown in FIG. 6A, the researcher database 24 includes a plurality of researcher data 240 corresponding to a plurality of researchers. Each researcher data 240 has a researcher name 241, an affiliated university 242, an affiliated organization 243, a title 244, and research result data 245.

  The researcher name 241 is information indicating a researcher name. The affiliated university 242 is information indicating the university to which the researcher belongs. The affiliated organization 243 is information indicating a university organization to which the researcher belongs. The university organization is, for example, a department, a graduate school, or a research institute. The title 244 is information indicating the title of the researcher. The titles are, for example, professors, associate professors, and assistant professors.

  As shown in FIG. 6 (b), the research result data 245 is information indicating the research result of the researcher. The presentation contents 2451, the presentation destination (conference) 2452a, the first impact factor 2452b, the presentation destination (paper). 2453a and a second impact factor 2453b. The researcher data 240 can include a plurality of research result data 245 of the researcher. Researcher's research results may include only those for which the researcher is the first author (first author or first presenter), or may include those for which the researcher is a co-author or co-presenter. .

  The announcement content 2451 is information indicating the announcement content such as a presentation title, a paper title, and a book title in a conference presentation. The presentation contents 2451 may have the information indicated by the presentation destination (academic society) 2452a and the presentation destination (magazine) 2453a.

  The presentation destination (academic society) 2452a is information indicating the name of the academic society as the presentation destination of the presentation content indicated by the presentation content 2451. The first impact factor 2452b is information indicating the impact factor of the presentation at the presentation destination (conference) 2452a. The impact factor is a value that serves as an evaluation index for a published study, and a superior study is set to a higher value. The first impact factor 2452b is set in accordance with, for example, a presentation format at an academic conference (oral / poster / only paper).

  The publication destination (magazine) 2453a is information indicating a magazine name as a publication destination of the announcement content indicated by the announcement content 2451. The second impact factor 2453b is information indicating the impact factor of the announcement in the publication destination (magazine) 2453a. The second impact factor 2453b is set according to the social evaluation level of the magazine, for example. When the publication destination is a magazine that is not related to a specific academic society, values are not set in the publication destination (academic society) 2452a and the first impact factor 2452b of the research result data 2451, and the publication destination (magazine) 2453a and the second impact are not set. A value is set in the factor 2453b. It should be noted that a magazine that is not related to a specific academic society preferably has a high social evaluation level.

  FIG. 6B illustrates three research result data 245a to 245c. The first research result data 245a indicates that the research result of the title (AAA) is presented at the X society, and the first impact factor of the research result is F1. The second research result data 245b indicates that the research result of the title (BBB) is announced at Y academic society, and the first impact factor of the research result is F2. The third research result data data 245c indicates that the research result of the title (CCC) is published in the magazine ZZZ, and the second impact factor of the research result is F11.

The research result data 245 is data serving as a basis for calculating a research evaluation index of each researcher. The research evaluation index is calculated by, for example, the number of research result data 245 (the number of papers), the first impact factor 2452a, and the second impact factor 2453a.
Based on the research result data 245 of one or more researchers belonging to the laboratory, the research evaluation index for the entire laboratory can also be calculated.
In the present embodiment, the presentation destination (conference) 2452a and the presentation destination (article) 2453a are examples of information indicating the publication destination of the research result.

[2.5 Research Category-Society Database]
The research category-conference database 25 is a database in which one or a plurality of academic societies corresponding to a plurality of research categories are registered. As shown in FIG. 6 (a), the research category-society database 25 includes a plurality of research category-society data 250. Each research category-society data 250 includes a research category 251 and one or more academic societies 252 a and 252 b related to the research category 251. The research category 251 is information indicating a research category, and is associated with the research category ID 221 or the research category 222 in the research category database 22.

[2.6 Laboratory News Database]
The laboratory news database 26 is a database for collectively registering laboratory news transmitted from a plurality of laboratories. As shown in FIG. 7A, the laboratory news database 26 includes a plurality of laboratory news data 260 corresponding to a plurality of news. Each laboratory news data 260 includes a laboratory news 261, a laboratory ID 262, and a research category 263.

  The laboratory news 261 indicates news transmitted from the laboratory, such as laboratory news posted on the laboratory website. The laboratory news 261 may be text information of news transmitted from the laboratory, or may be URL of news transmitted from the laboratory.

  The laboratory ID 262 is an identifier indicating a laboratory. The laboratory ID 262 is related to the laboratory ID 2111 of the laboratory database 21. The research category 263 indicates one or more research categories corresponding to the laboratory news 261. The research category 263 is related to the research category ID 221 or the research category 222 in the research category database 22.

[2.7 User database]
The user database 27 indicates users registered in the information providing apparatus 1. As shown in FIG. 8A, the user database 27 includes a plurality of user data 270 corresponding to a plurality of users. Each user data 270 has a user ID 271, a user name 272, a research category 273, and a laboratory ID 274.

  The user ID is a user identifier. The user name 272 is information indicating the name of the user. The research category 273 is information indicating a research category in which the user is interested. The research category 273 is related to the research category ID 221 or the research category 222 in the research category database 22. The laboratory ID 274 indicates a laboratory ID of a laboratory in which the user is interested. The laboratory ID 274 is related to the laboratory ID 2111 of the laboratory database 21.

[3. Information provision processing]
Returning to FIG. 2 and FIG. 3, the information providing process performed by the processing unit 10 will be described. In the information providing process, a research category determination process 11, an extraction process 13, and an output process 14 are performed. Further, a narrowing-down condition setting process 12 is performed as necessary.

[3.1 Research category determination process]
The research category determination process 11 is a process in which the processing unit 10 determines a research category of a research target laboratory, that is, a laboratory extracted in the extraction process 13. There may be one or more research categories determined in the research category determination process 11. The research category is determined based on an input from the user terminal 3. When accessed from the user terminal 3 via the Internet 2, the processing unit 10 performs processing for causing the user terminal 3 to display a laboratory search screen. By displaying the laboratory search screen on the user terminal 3, the user can input information for determining a research category and other information on the user terminal 3. Hereinafter, information input to determine the research category is referred to as “input information”.

  The input information for determining the research category may be the research category itself or information other than the research category. Information other than the research category includes, for example, a university name, a deviation value, a university ranking, and a keyword. FIG. 2 shows a research category determination process when a research category, a university name, a deviation value, and a keyword are input as input information.

  When a research category is input as input information (step S111), the processing unit 10 determines the input research category as a research category to be provided with information. Note that the input of the research category may be input of characters indicating the research category, or may be input of selection from a plurality of research category lists displayed on the screen.

  When a university name is input as input information (step S121), the processing unit 10 sets the input university name as a narrowing condition (step S122). The input of the university name may be input of characters indicating the university name, or may be input of selection from a plurality of university lists displayed on the screen.

The processing unit 10 extracts the laboratory data 210 of one or more laboratories belonging to the university indicated by the input university name from the laboratory database 21 (step S123). The process of step S123 is performed by the affiliation university 2116 of the laboratory database 21 extracting the laboratory data 210 that matches the input university name from the laboratory database 21.
In addition, you may output the 1 or several laboratory data 210 extracted by the process of step S123 on the screen of the user terminal 3 (step S124).

  The processing unit 10 acquires one or more research categories 2130 included in the laboratory data 201 from the one or more laboratory data 210 extracted in step S123. The acquired research category indicates one or a plurality of research categories related to all research conducted in the university indicated by the input university name. The processing unit 10 outputs the acquired one or more research categories 2130 to the screen of the user terminal 3 (step S125).

  The user can select and input a research category for which information is desired from among one or a plurality of research categories output on the screen by the process of step S125 on the user terminal 3 (step S126). Note that step S126 may be omitted, and all the research categories acquired by the process of step S125 may be determined as research categories to be provided with information (S127).

  When a deviation value is input as input information (step S131), the processing unit 10 sets the input deviation value as a narrowing condition (step S132). The input of the deviation value may be a numerical value indicating the deviation value, or may be a selection input from a plurality of deviation value lists displayed on the screen. The input deviation value may be a value indicating a specific deviation value or information indicating a range of the deviation value.

  The processing unit 10 extracts from the university database 23 one or more universities that match the input deviation value (step S133). The process of step S133 is performed by extracting from the university database 23 a university that matches the deviation value to which the university deviation value 2323 of the university database 23 is input. Note that the process of step S133 may be performed by extracting a university in which any of the information 2324b indicating the deviation value of the undergraduate data 2324 in the university database 23 matches the input deviation value from the university database 23. good.

  In step S131, university rankings may be entered instead of deviation values. In this case, universities that match the entered university ranking are extracted from the university database 23. In step S132, the university ranking is set as a narrowing-down condition.

  The processing unit 10 performs the processes (steps S134 to S137) from the one or more universities extracted in the process of step S133 until the research category to be provided information is determined (steps S134 to S137). This is basically the same as the processing. However, in steps S134 to S137, there may be a plurality of extracted universities.

  When one or more keywords are input as input information (step S141), the processing unit 10 sets the input one or more keywords as a narrowing condition (step S142).

  The processing unit 10 refers to the research category database 22 and determines one or more research categories related to the input one or more keywords as research categories to be provided with information (step S143). Note that when performing the process of step SS143, the plurality of input keywords may be handled as an AND condition or an OR condition.

[3.2 Filtering condition setting process]
The refinement condition setting process 12 is a process in which the processing unit 10 sets the refinement condition of the laboratory information 2111 extracted in the extraction process 13. In the refinement condition setting process 12, one or more refinement conditions can be set. In the laboratory search screen described above, in addition to input information for determining a research category, it is possible to input narrowing conditions. The research category determination process 11 and the narrowing-down condition setting process 12 are collectively referred to as an input process 18.

As shown in FIG. 2, the narrowing-down conditions include, for example, a university name, a university classification (national / public / private, etc.), a laboratory location, a deviation value, a university ranking, a keyword, and a research evaluation index. The research evaluation index includes, for example, the number of papers and an impact factor. The input of these narrowing conditions may be input of characters indicating the narrowing conditions, or may be selected from a plurality of narrowing condition lists displayed on the screen. The input narrowing condition is set as the narrowing condition of the laboratory information 2111 extracted in the extraction process 13.
Note that steps S122, S132, and S142 in the research category determination process 11 are also a narrowing-down condition setting process.

  The narrowing-down condition may be used as a sorting condition when the extracted laboratory information 2111 is displayed on the screen. The input condition may be used only as a sort condition without being used for narrowing down.

[3.3 Extraction process]
As illustrated in FIG. 3, the extraction process 13 includes a process in which the processing unit 10 extracts one or a plurality of laboratory information 2111 corresponding to the research category determined by the research category determination process 11 from the laboratory database 21. (Step S231).

  In step S231, the processing unit 10 searches the laboratory database 21 using one or a plurality of research categories determined by the research category determination processing 11 as a search key. By searching the laboratory database 21, the laboratory information 2110 of the research data 210 in which at least one of the determined one or more research categories matches the research category 2130 is extracted. Through the above processing, laboratory information 2110 of the research category in which the user is interested is extracted.

  When one or a plurality of narrowing conditions are set, in step S231, one or a plurality of laboratory information 2110 that matches those narrowing conditions and corresponds to the determined research category is extracted. Hereinafter, specific processing for each narrowing condition will be described.

[3.3.1 Narrowing by university name]
If the set narrowing condition includes a university name, in step S231, “laboratory belonging university” 2116 of the laboratory information 2110 is extracted as laboratory information 2110 matching the university name as the narrowing condition. The university name as the narrowing-down condition is an example of the narrowing-down condition regarding the institution to which the laboratory belongs. Here, the university name that is the first affiliation institution name is used as the narrowing-down condition, but the university organization name (such as a graduate school name) that is the second affiliation institution name may be used as the narrowing-down condition.

[3.3.2 Narrowing processing by university division]
When the set narrowing-down condition includes a university classification, the processing unit 10 refers to the university database 23 for the university classification 2321 indicated by the “laboratory university” 2116 of the laboratory information 2110 in step S231. Get by. The laboratory information 2110 in which the acquired university division 2321 matches the university division as a narrowing-down condition is extracted. The classification of universities as a narrowing-down condition is also an example of narrowing-down conditions related to the institution to which the laboratory belongs.

[3.3.3 Narrowing by location]
If the set narrowing condition includes the laboratory location, in step S231, the “laboratory location” 2118 of the laboratory information 2110 includes the laboratory information 2210 that matches the laboratory location as the filtering condition. Extracted.

[3.3.4 Narrowing process by deviation value (1)]
When the set narrowing condition includes a deviation value, in step S231, the processing unit 10 determines the university deviation value 2323 of the university indicated by the “laboratory university (first institution)” 2116 of the laboratory information 2110. Is obtained by referring to the university database 23. Laboratory information 2110 in which the acquired university-university deviation value 2323 matches the deviation value as the narrowing-down condition is extracted.

  The deviation value as the narrowing-down condition is also an example of the narrowing-down condition regarding the institution to which the laboratory belongs. The deviation value as the narrowing-down condition is also an example of an evaluation index of the university to which the laboratory belongs. The deviation value as the narrowing-down condition is also an example of the entrance examination difficulty level.

[3.3.5 Narrowing processing by deviation value (2)]
If the set narrowing condition includes a deviation value, the processing unit 10 may perform the following process in step S231. First, the processing unit 10 refers to the university data 230 of the university to which the laboratory belongs based on the “laboratory university (first institution)” 2116 of the laboratory information 2110, and the undergraduate data 2324 and the graduate school The equal data 2325 is acquired. Furthermore, the processing unit 10 determines whether the “laboratory organization (second affiliated institution)” 2117 of the laboratory information 2110 corresponds to the undergraduate 2324a indicated by the undergraduate data 2324 of the university data 230, or graduate school data Whether it corresponds to the graduate school 2325a indicated by 2325 is determined.

  If “laboratory organization (second affiliated institution)” 2117 of the laboratory information 2110 corresponds to the department 2324a indicated by the department data 2324 of the university data 230, the laboratory matches the entrance examination category of the university. You belong to a department that is a university organization. In this case, the processing unit 10 acquires the deviation value 2324b of the undergraduate 2324a. The processing unit 10 extracts laboratory information 2110 in which the acquired deviation value 2324b matches the deviation value as the narrowing-down condition. In this case, the laboratory information 2110 is narrowed down by the deviation value of the department to which the laboratory belongs.

  If “laboratory organization (second affiliated institution)” 2117 of laboratory information 2110 corresponds to graduate school 2325a indicated by graduate school data 2325, the laboratory matches the entrance examination category of the university. You belong to a graduate school that is not a university organization. In this case, the processing unit 10 extracts laboratory information 2110 in which the virtual entrance examination difficulty level (virtual deviation value) of the graduate school or the like to which the laboratory belongs matches the deviation value as the narrowing-down condition.

  The processing unit 10 calculates the virtual entrance examination difficulty (virtual deviation value) of the graduate school to which the laboratory belongs using the undergraduate data 2324 and the graduate school data 2325. Specifically, the processing unit 10 includes one or a plurality of departments 2325b related to the graduate school indicated by the “laboratory organization (second affiliated institution)” 2117 of the laboratory information 2110, and the departments 2325b. The weight 2325c is acquired. For example, if the graduate school indicated by “laboratory organization (second affiliation organization)” 2117 is the P graduate school in FIG. 5D, the faculties related to the P graduate school are the Multiple faculties including faculties shall be extracted. Here, it is assumed that the weight of the B department is 0.5, the weight of the A department is 0.4, and the weights of the other departments are 0.1.

In the present embodiment, the virtual deviation value that is the degree of difficulty of the entrance examination of the P Graduate School is calculated as, for example, a weighted average of the deviation values of a plurality of departments related to the P Graduate School. That is, assuming that the deviation value of the B department is S _B , the deviation value of the A department is S _A , and the deviation values of the other departments are S _X , the virtual deviation value of the Graduate School P = 0.5 × S _B + 0.4 × S _A + 0.1 × S _X.
The virtual deviation value may be calculated as a simple average of deviation values of a plurality of departments related to the graduate school or the like, and in this case, the weight 2325c is unnecessary. When there is one department related to the graduate school, the deviation value of the related department can be obtained as a virtual deviation value of the graduate school.

  In the present embodiment, since the virtual deviation value (virtual entrance examination difficulty level) is used, even if the laboratory belongs to a graduate school or the like that is a university organization that does not match the university entrance examination category, Information 2110 can be narrowed down by a deviation value (admission difficulty level).

[3.3.6 Narrowing by Research Evaluation Index (Number of Papers, Impact Factor)]
When the set narrowing condition includes the number of papers as a research evaluation index of the researcher, the processing unit 10 performs one or a plurality of researches indicated by the “researcher name” 2114 of the laboratory information 2110 in step S231. One or a plurality of research result data 245 associated with the researcher is acquired by referring to the researcher database 24. The number of acquired research result data 245 is calculated as a research result index (the number of papers). Then, laboratory information 2110 to which a researcher having a research result that matches the number of papers (research evaluation index) as a narrowing condition belongs is extracted. In other words, narrowing down is performed based on whether or not the research result index as the narrowing condition matches the research evaluation index that is a value calculated based on the research result data 24.

  When the set narrowing condition includes an impact factor as an evaluation index of a researcher, the processing unit 10 in step S231 selects one or a plurality of researchers indicated by the “researcher name” 2114 of the laboratory information 2110. One or a plurality of research result data 245 associated with the data is acquired by referring to the researcher database 24. The sum of the first impact factor 2452b and the second impact factor 2453b included in the acquired research result data 245 is calculated as a research evaluation index (impact factor). Then, laboratory information 2110 to which a researcher having a research result that matches an impact factor (research evaluation index) as a narrowing condition belongs is extracted.

  The research evaluation index as a narrowing-down condition is an example of a condition related to a researcher belonging to a laboratory. Papers and impact factors are examples of research evaluation indicators. If multiple researchers belong to a single laboratory, the laboratory information may be extracted if the research results of any of the researchers match the narrowing conditions. When the total value (for example, average value) calculated from the research result indexes of all the researchers belonging to the room matches the narrowing-down conditions, the laboratory information may be extracted.

  When calculating the research evaluation index, it is not necessary to use all the research result data 245 of the researcher belonging to the laboratory, and the processing unit 10 relates to the research category determined by the research category determination process. The research result data 245 to be selected may be selected, and the research evaluation index of the researcher may be calculated using the selected research result data 245. Since a single researcher may conduct research in a plurality of research categories, the laboratory information 2110 can be more appropriately obtained by calculating the research evaluation index with an emphasis on the research category in which the user is interested. You can narrow down.

  For example, the processing unit 10 refers to the research category-society database 25 based on the determined research category, and extracts one or a plurality of academic societies 252a related to the determined research category. When the processing unit 10 calculates the research evaluation index of the researcher, the academic society indicated by the publication destination (scientific society) 2452a of the research result data 245 among the research result data 245 is related to the determined research category. Alternatively, research result data 245 corresponding to a plurality of academic societies 252a is selected, and a research evaluation index is calculated using the selected research result data 245. In this case, the processing unit 10 does not need to use only the selected research result data 245. If the selected research result data 245 is evaluated relatively low, the research result data not selected is selected. H.245 may be used.

  Even when the processing unit 10 uses the research result data 245 related to the research category determined by the research category determination processing to calculate the research evaluation index of the researcher, the research published to the predetermined publication destination The result data is selected and used for calculating the evaluation index regardless of the research category determined by the research category determination process. The predetermined presentation destination is, for example, research result data 245 in which the presentation destination is registered in the publication destination (magazine) 1453a of the research result data 245. By using the research result data 245 whose publication destination is registered in the publication destination (magazine) 1453a regardless of the research category, for example, research results published in a magazine with a high social evaluation level beyond the research category Can be reflected in the research evaluation index.

  In the extraction process 13 of FIG. 3, other research categories related to each of the one or more research categories determined by the research category determination process 11 are further extracted (step S232). In step S232, the processing unit 10 refers to the research category database 22 and extracts the related category 224 of each of the determined one or more research categories.

[3.4 Output processing]
The output process 14 is a process for outputting information obtained by the above process. The output process 14 is related to the research category determined by the output process of one or a plurality of laboratory information extracted in step S231, the output process of other research categories extracted in step S232, and the research category determination process 11. Includes laboratory news output processing and the like (step S241). Since the laboratory news database 261 and the research category 260 are registered in association with each other in the laboratory news database 26, the processing unit 10 displays laboratory news related to the research category determined by the research category determination processing 11. It can be extracted from the laboratory news database 26 and output. The output of the information in the output process 14 is performed by displaying it on the screen of the user terminal 3, for example.

  According to the information providing apparatus 1 of the present embodiment, the laboratory information of the research category in which the user is interested is presented to the user, so that the user can easily obtain the laboratory information. Further, since other research categories related to the research category determined by the research category determination processing 11 are also presented to the user, the convenience for the user is improved. That is, the user can obtain laboratory information 2110 of other research categories by performing selection input (step S111) of the other research categories that have been output. Furthermore, since the laboratory news related to the determined research category is also displayed, the convenience of the user is improved from this point.

[4. News registration process and news output process]
As shown in FIG. 7B, in the laboratory news registration process 15, first, laboratory news is detected by the processing unit 10 (step S301). The laboratory news may be detected by receiving the laboratory news transmitted from the laboratory terminal 4 or the laboratory server by the information providing apparatus 1 via the Internet 2 or by using a crawler. May be performed by detecting laboratory news uploaded to the laboratory server.

  Subsequently, the processing unit 10 identifies which laboratory registered in the laboratory database 21 belongs to the laboratory news from the laboratory news transmission source address or the URL of the laboratory server (step). S302). By step S302, the laboratory ID 2111 of the laboratory news source is obtained. Further, the processing unit 10 acquires one or a plurality of research categories 2130 of the laboratory from which the laboratory news is transmitted, from the laboratory data 210 of the specified laboratory.

  The processing unit 10 registers the detected laboratory news, laboratory ID 2111, and research category 2130 in the laboratory news database 26 as laboratory news 261, laboratory ID 262, and research category 263 constituting the research news data.

  As shown in FIG. 8B, the laboratory news output process 16 includes a process (step S401) of extracting and outputting news of a research category in which the user is interested. In step S 401, the processing unit 10 includes the research news data 26 in which the research category 260 matches the interesting research category 273 of the user data 270 of the user database 27 among the research news data 260 registered in the laboratory news database 26. Lab news 261 is extracted and output for provision to the user. The extracted laboratory news 261 is output when the processing unit 10 generates an electronic mail including the laboratory news 261 and transmits it to the user terminal 3. The extracted laboratory news 261 may be output on a screen displayed on the user terminal 3 when the user terminal 3 accesses the information providing apparatus 1.

[5. Laboratory registration process]
The registration of the laboratory data 210 in the laboratory database 21 may be performed by the administrator of the information providing apparatus 1 based on the information collected by the crawler on the information on the laboratory website, or from the laboratory. May be based on the registration application. When there is a registration application from a laboratory that has already been registered by the administrator of the information providing apparatus 1, the laboratory data 210 is updated to the contents relating to the registration application.

  FIG. 9 shows a process (laboratory registration process) by the processing unit 10 when there is a registration application. The processing unit 10 receives laboratory information and one or more keywords related to the laboratory from the laboratory terminal 4 (step S501). The processing unit 10 refers to the research category database 22 and acquires one or a plurality of research categories associated with the input keyword (step S502). Subsequently, the processing unit 10 registers the input laboratory information and the extracted one or a plurality of research categories in the laboratory database 21 as the laboratory data 210 in which both are associated (Step). S503).

  The processing unit 10 accepts input of laboratory information and one or more research categories corresponding to the laboratory from the laboratory terminal 4, and the input laboratory information and the input one or more May be registered in the laboratory database 21 as the laboratory data 210 in which both are associated. However, as described above, it is possible to prevent an erroneous selection of a research category on the laboratory side by accepting an input of a keyword instead of a research category.

[6. Addendum]
The present invention is not limited to the above embodiment, and various modifications can be made.

DESCRIPTION OF SYMBOLS 1 Information provision apparatus 10 Processing part 11 Research category determination process 12 Refinement condition setting process 13 Extraction process 14 Output process 15 News registration process 16 News output process 17 Laboratory registration process 20 Storage part 21 Laboratory database 26 Laboratory news database

Claims (14)

A processing unit for performing information providing processing;
A storage unit having a laboratory database configured by associating a plurality of laboratory information and information indicating one or a plurality of research categories corresponding to each of the plurality of laboratory information;
With
Each of the plurality of laboratory information is information on a university laboratory,
The information providing process performed by the processing unit includes:
A category determination process for determining a research category for which information is provided;
An extraction process for extracting one or a plurality of laboratory information corresponding to the research category determined by the determination process from the laboratory database;
Output processing for outputting one or more extracted laboratory information;
Including information providing device. The information providing process performed by the processing unit includes:
Further includes a refinement condition setting process for setting refinement conditions in the extraction process,
The information providing apparatus according to claim 1, wherein the extraction process is performed so as to extract one or a plurality of laboratory information that matches the narrowing-down condition when the narrowing-down condition is set. The laboratory information in the laboratory database includes information indicating an organization to which the laboratory belongs,
The narrowing-down condition setting process is performed so that a condition related to an institution to which a laboratory belongs can be set as the narrowing-down condition.
When conditions relating to the affiliated institution are set as the narrowing-down conditions, one or more laboratory information extracted by the extraction process is information on laboratories belonging to the affiliated institution that matches the narrowing-down conditions. The information providing apparatus according to claim 2. The condition regarding the affiliated institution as the narrowing-down condition is at least one selected from the group including the name of the institution to which the laboratory belongs, the classification of the university to which the laboratory belongs, and the evaluation index of the university to which the laboratory belongs. The information providing apparatus according to claim 3. The laboratory information in the laboratory database includes information indicating a university organization to which the laboratory belongs,
The university organization includes a university organization that does not match the university entrance examination category,
The conditions relating to the institution belonging as the narrowing-down conditions include the entrance examination difficulty level,
The storage unit further includes information indicating the difficulty level of each of the plurality of college entrance examination recruitment categories,
The extraction process is:
When the entrance examination difficulty level is set as the narrowing-down condition, one or a plurality of laboratory information belonging to the university organization that matches the entrance examination difficulty level as the narrowing-down condition is extracted. ,
When extracting laboratory information belonging to the university organization that matches the difficulty level of the entrance examination as the narrowing-down condition, the entrance difficulty level of the university organization that does not match the university entrance examination category is: The information providing apparatus according to claim 3, which is indicated by a virtual entrance examination difficulty level calculated from the information indicating an entrance examination difficulty level of one or a plurality of university entrance examination recruitment categories related to the in-college organization that does not match. The laboratory information in the laboratory database includes information indicating one or more researchers belonging to the laboratory,
The narrowing-down condition setting process is performed so that conditions regarding a researcher belonging to a laboratory can be set as the narrowing-down condition.
When the condition regarding the researcher is set as the narrowing-down condition, one or a plurality of laboratory information extracted by the extraction processing is information on a laboratory to which the researcher who matches the narrowing-down condition belongs. The information providing apparatus according to any one of claims 2 to 5. The storage unit further includes research result data associated with the information indicating a researcher included in the laboratory information of the researcher database,
The condition regarding the researcher as the narrowing-down condition includes a research evaluation index,
When the research evaluation index is set as the narrowing-down condition, the one or more laboratory information extracted by the extraction process has a research result that matches the research evaluation index as the narrowing-down condition Information on the laboratory to which the researcher belongs,
When extracting the laboratory information to which the researcher who has the research result that matches the research evaluation index as the narrowing condition belongs, the research evaluation index of the researcher was calculated based on the research result data The information providing apparatus according to claim 6 indicated by a value. The research evaluation index indicated by a value calculated based on the research result data of the researcher is:
The information providing apparatus according to claim 7, wherein the processing unit is calculated by selecting research result data related to the research category determined by the category determination process and using the selected research result data. The information providing apparatus according to claim 8, wherein research result data published to a predetermined publication destination is used for calculation of the research evaluation index regardless of the research category determined by the category determination process. The storage unit further includes a laboratory news database for registering news transmitted by the laboratory,
The processor is
When the laboratory detects the news transmitted via the Internet, the laboratory database is referenced to acquire one or more research categories corresponding to the laboratory that transmitted the news, and the news and the acquired 1 Or a plurality of research categories and news registration processing for registering in the laboratory news database in association with each other,
The information provision according to any one of claims 1 to 9, wherein news output corresponding to a research category designated by a user is read from the laboratory news database and output. apparatus. The category determination process includes determining a research category related to the input information based on input information input from a user;
The information providing apparatus according to claim 1, wherein the input information is information other than a research category. The processing unit is configured to perform a laboratory registration process for accepting a laboratory registration application via the Internet,
The laboratory registration process is performed such that the laboratory information of the laboratory related to the registration application and one or more research category information corresponding to the laboratory information are associated with each other and registered in the laboratory database. The information provision apparatus according to any one of claims 1 to 11. The storage unit further includes a research category database configured by associating a research category with one or more keywords related to the research category,
The laboratory registration process is as follows:
Accepting the laboratory information of the laboratory related to the registration application and one or more keywords related to the laboratory via the Internet,
Obtaining one or more categories corresponding to the accepted one or more keywords by referring to the research category database,
The information providing apparatus according to claim 12, wherein the obtained information category is registered in the laboratory database as one or more research categories corresponding to the laboratory information. A method performed by an information providing apparatus including a storage unit and a processing unit,
The storage unit is configured by associating a plurality of laboratory information, each of which is information related to a university laboratory, and information indicating one or a plurality of research categories corresponding to each of the plurality of laboratory information. Have a laboratory database,
The method
The processing unit performs a category determination process for determining a research category to be provided with information;
The processing unit performs an extraction process for extracting from the laboratory database one or more laboratory information corresponding to the research category determined by the determination process;
The processing unit performs an output process of outputting the extracted one or more laboratory information;
Including methods.

Images