JP4690232B2 - Information processing apparatus, software registration method, and program - Google Patents

Description

  The present invention relates to an information processing apparatus, a software registration method, and a program, and more particularly, to an information processing apparatus, a software registration method, and a program having a function for classifying and starting installed software by genre.

  There is known an information processing apparatus having a software introduction unit having a function for classifying and starting installed software by genre (for example, for mail / Internet, for document / postcard creation). The software introduction part is realized by a program (software).

  Conventionally, when registering newly installed software in the software introduction unit, the user has confirmed the software genre and manually registered the software name in the software introduction unit in association with the genre. .

Patent Document 1 (Japanese Patent Laid-Open No. 2004-30202) describes a feature word extraction system that extracts characteristic keywords from computerized information such as an electronic document or an Internet homepage.
JP 2004-30202 A

  For the user, it was troublesome to manually register the installed software in the software introduction section.

  An object of the present invention is to provide an information processing apparatus, a software registration method, and a program that can easily register installed software in a software introduction unit.

  In order to achieve the above object, an information processing apparatus of the present invention is an information processing apparatus that manages software names by software genre and introduces the software by genre, and manages software names by software genre. A management unit that stores software, a name detection unit that detects the name of the software from the software stored in the storage unit, and an extraction unit that extracts keywords from the software stored in the storage unit A genre determining unit that determines a genre of the software based on the keyword extracted by the extracting unit, and a name detected by the name detecting unit in association with the genre determined by the genre determining unit And a registration unit for registering with the management unit.

  The software registration method of the present invention includes a management unit that manages software names for each software genre, and a storage unit that stores software, and the software registration performed by an information processing apparatus that introduces the software for each genre. A method for detecting a name of software from software stored in the storage unit, an extraction step of extracting a keyword from software stored in the storage unit, and a method based on the extracted keyword A genre determining step for determining the genre of the software, and a registration step for registering the detected name in the management unit in association with the determined genre.

  According to the above invention, the name and genre of the software are automatically specified, and the specified name is automatically registered in the management unit in association with the specified genre. Therefore, it is possible to easily register the installed software in the management unit, and the user does not need to manually register the installed software in the management unit as in the past.

  The software includes a shortcut for the software, a program, and a help file for the program, and the storage unit stores a shortcut registration folder for storing the shortcut, and a program registration for storing the program and the help file. The name detection unit detects a name of the software from a shortcut stored in the shortcut registration folder, and the extraction unit extracts a keyword from a help file stored in the program registration folder It is desirable to do.

  There is a high possibility that the name of the software is included in the shortcut, and there is a high possibility that the shortcut has a smaller amount of information than the program. The help file is likely to contain a keyword indicating the function of the software.

  For this reason, according to the said invention, compared with the case where the whole software is made into the investigation object, it becomes possible to reduce the investigation object of a software name and a keyword.

  The monitor further includes a monitoring unit that monitors whether a new shortcut is registered in the shortcut registration folder, and the name detection unit detects that the monitoring unit has registered a new shortcut in the shortcut registration folder. Then, it is preferable that the name of the software is detected from the new shortcut, and the extraction unit extracts a keyword from a help file of a program corresponding to the new shortcut.

  According to the above invention, whenever new software is stored, the software can be automatically registered in the management unit.

  Further, the name detection unit includes a specific condition storage unit that stores a keyword specifying condition for specifying a keyword to be extracted from a shortcut stored in the shortcut registration folder, and a shortcut stored in the shortcut registration folder. A keyword discriminating unit for extracting a keyword based on a keyword specifying condition stored in the specific condition storing unit; a type discriminating unit for discriminating a type of a file corresponding to the shortcut based on a shortcut stored in the shortcut registration folder; It is preferable that a detection unit that detects the name of the software based on the keyword extracted by the keyword determination unit and the type determined by the type determination unit.

  According to the above invention, it is possible to increase the detection accuracy of the software name.

  Further, the extraction unit is limited by the limitation condition storage unit that stores a range limitation condition for limiting the range for extracting a plurality of nouns from the help file stored in the program registration folder, and the range limitation condition. A noun extraction unit that extracts a plurality of nouns from the range in the help file, and the frequency of appearance of the plurality of nouns extracted by the noun extraction unit is analyzed, and the noun having a high frequency is extracted as the keyword It is desirable to include a frequency analysis unit.

  According to the above invention, it is possible to improve the accuracy of extracting a keyword indicating the genre of software. Further, since the range for extracting nouns is limited, the noun extraction process can be reduced.

  The genre detection unit, for each genre, a genre determination information storage unit storing a keyword corresponding to the genre, and a genre corresponding to the keyword extracted by the extraction unit as a genre of the software, And a search unit that reads from the genre determination information storage unit.

  According to the above invention, it is possible to increase the accuracy of determining the genre of software.

  A user interface that presents the name detected by the name detection unit and the genre determined by the genre determination unit, and that accepts permission to register the name in association with the genre; When the user interface accepts the permission, the registration unit preferably registers the name in the registration unit in association with the genre.

  According to the above invention, after the user confirmation is obtained, the software is registered in the registration unit. For this reason, it is possible to prevent the software from being registered in the wrong genre.

  The program of the present invention includes a management unit that manages software names for each software genre, and a storage unit that stores software, and causes a computer that introduces the software for each genre to execute software registration processing. Based on the extracted keyword, a name detection process for detecting the name of the software from the software stored in the storage unit, an extraction process for extracting a keyword from the software stored in the storage unit, and Causing the computer to execute a software registration process including a genre determination process for determining a genre of the software, and a registration process for registering the detected name in the management unit in association with the determined genre. .

  According to the above invention, it is possible to cause a computer to execute the software registration method.

  According to the present invention, the installed software can be easily registered in the management unit.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram showing an information processing apparatus according to an embodiment of the present invention.

  In FIG. 1, the information processing apparatus is a PC (personal computer), for example, and includes a software introduction unit 1, a PC data storage unit 2, a monitoring unit 3, a name detection unit 4, an extraction unit 5, and a genre determination unit. 6, a UI (user interface) 7, and a DB registration unit 8.

  The information processing apparatus, for example, by executing a program, the software introduction unit 1, the PC data storage unit 2, the monitoring unit 3, the name detection unit 4, the extraction unit 5, the genre determination unit 6, and the UI 7 And the DB registration unit 8 are realized.

  Note that each of the software introduction unit 1, the PC data storage unit 2, the monitoring unit 3, the name detection unit 4, the extraction unit 5, the genre determination unit 6, the UI 7, and the DB registration unit 8 You may comprise by wear.

  The software introduction unit 1 manages software names (hereinafter referred to as “AP names”) by software genre, and introduces software by genre. The software introduction unit 1 includes a DB (database) 1a and a display control unit 1b.

  In the DB (management unit) 1a, software names (AP names) stored in the PC data storage unit 2 are registered for each software genre.

  2a to 2c are explanatory diagrams showing an example of data registered in the DB 1a.

  In FIG. 2, for each genre 1a1, a registered AP (AP name: software name) 1a2 belonging to the genre is registered. For example, the category of “Mail / Internet” includes mail software 1, mail software 2, mail software 3, Internet browsing software 1, homepage creation software 1, homepage creation software 2, translation software, and virus. Detection and removal software 1, virus detection and removal software 2, virus detection and removal software 3, virus detection and removal software 4, harmful website browsing restriction software, TV phone software 1, TV phone software 2, and TV phone software 3 and Internet setting switching software are registered.

  Returning to FIG. 1, the display control unit 1b introduces the software registered in the DB 1a by genre.

  For example, the display control unit 1b first displays the genre 1a1 stored in the DB 1a on the UI 7, and then when any genre 1a1 is selected on the UI 7, the AP name belonging to the selected genre 1a1 is displayed. 1a2 is displayed on the UI 7 to introduce software by genre. After that, when any AP name is selected on the UI 7, the display control unit 1 b activates software of the selected AP name.

  The PC data storage unit 2 stores at least a plurality of software installed in the information processing apparatus. Most of the software includes at least a software shortcut, a program, and a help file for the program.

  The PC data storage unit 2 includes a shortcut registration folder 2a and a program registration folder 2b.

  The shortcut registration folder 2a stores shortcuts registered in the OS start menu.

  Generally, when new software is installed in the information processing apparatus, a shortcut folder having a shortcut for the software is formed below the shortcut registration folder 2a. There is a high possibility that the AP name is used for the name of the shortcut and the name of the shortcut folder.

  Further, the file type (for example, application) is written in the shortcut property.

  The shortcut describes the storage location (link destination) of the program corresponding to the shortcut.

  For example, the program and its help file are stored in the program registration folder 2b.

  In general, when new software is installed in the information processing apparatus, a program folder having a program of the software and a help file of the program is formed below the program registration folder 2b.

  The monitoring unit 3 monitors whether a new shortcut is registered in the shortcut registration folder 2a.

  For example, the monitoring unit 3 stores the state of the shortcut registration folder 2a, and when a shortcut not included in the stored shortcut registration folder 2a is added to the shortcut registration folder 2a of the PC data storage unit 2, the shortcut is added. In addition, the state of the changed shortcut registration folder 2a is stored.

  When the monitoring unit 3 detects that a new shortcut has been registered in the shortcut registration folder 2a, the monitoring unit 3 provides the name detection unit 4 with the name of the shortcut folder having the new shortcut.

  The name detection unit 4 detects the name (AP name) of the software from the software stored in the PC data storage unit 2, specifically, the shortcut stored in the shortcut registration folder 2a.

  The name detection unit 4 includes a DB 4a, a keyword determination unit 4b, a DB 4c, a file type determination unit 4d, a detection unit 4e, and an analysis result storage unit 4f.

  The DB 4a is an example of a specific condition storage unit, and stores keyword specifying conditions for specifying keywords to be extracted from shortcuts in the shortcut registration folder 2a.

  As the keyword specifying condition, for example, a condition of “extracting a keyword existing before a specific keyword (for example, setting, help, uninstallation, deletion)” is used.

  A keyword extracted based on the keyword specifying condition is highly likely to be an AP name.

  When the keyword determination unit 4b receives the name of a new shortcut folder from the monitoring unit 3, the keyword determination unit 4b detects the AP name from the shortcut included in the shortcut folder.

  For example, the keyword discriminating unit 4b extracts a keyword that matches the keyword specifying condition in the DB 4a from the new shortcut stored in the shortcut registration folder 2a.

  The DB 4c stores an extension (for example, EXE) of a file that activates the program body.

  When the file type determination unit 4d receives the name of a new shortcut folder from the monitoring unit 3, the file type determination unit 4d reads the type (extension) of the file corresponding to the shortcut from the property of the shortcut in the shortcut folder. The file type determination unit 4d compares the type with the extension stored in the DB 4c, and determines that the file is an application if the two match.

  The detection unit 4e detects the AP name based on the keyword extracted by the keyword determination unit 4b and the type determined by the file type determination unit 4d, and the detection result is used as the analysis result storage unit 4f. To store. The name stored in the analysis result storage unit 4f is used as a candidate for a newly installed AP name.

  Further, when detecting the AP name, the detecting unit 4e detects the storage location (link destination) of the help file of the program corresponding to the shortcut from the shortcut in the shortcut folder including the shortcut that detected the AP name. The storage location (link destination) is output to the extraction unit 5.

  The extraction unit 5 is a software help file stored in the PC data storage unit 2, specifically, a program stored in a storage location received from the detection unit 4e (specifically, in the program registration folder 2b). Keywords.

  The extraction unit 5 includes a DB 5a, a keyword determination unit 5b, a frequency analysis unit 5c, and an analysis result storage unit 5d.

  DB5a is a keyword extraction condition, specifically "Sentences starting with" (AP name) "and" Can. The condition of extracting nouns from sentences ending with “” and the range-limiting condition, specifically, “When the help file has a tree structure, if the help file has a“ Getting Started ”folder, The condition “Introduction folder is set as a search target” is stored. The DB 5a is an example of a limited condition storage unit.

  The keyword discriminating unit 5b is an example of a noun extracting unit. From the help file stored in the storage location of the help file received from the detecting unit 4e, the keyword discriminating unit 5b selects a plurality of keywords that match the keyword extraction condition of the DB 5a, that is, a plurality of nouns. For example, extraction is performed by morphological analysis.

  The frequency analysis unit 5c analyzes the appearance frequency of a plurality of nouns extracted by the keyword determination unit 5b, and extracts a high-frequency noun as a keyword. The frequency analysis unit 5c stores the extracted keyword in the analysis result storage unit 5d. The keyword stored in the analysis result storage unit 5d is used as a candidate indicating a function of newly installed software.

  In addition, the frequency analysis unit 5 c provides the keyword stored in the analysis result storage unit 5 d to the genre determination unit 6.

  The genre determination unit 6 determines the genre of the newly installed software based on the keywords extracted by the extraction unit 5.

  The genre determination unit 6 includes a DB 6a, a search unit 6b, and a search result storage unit 6c.

  The DB 6a is an example of a genre determination information storage unit, and a keyword corresponding to the genre is stored for each genre. The genre in the DB 6a is the same as the genre in the DB 1a.

  3 to 5 are explanatory diagrams showing an example of data registered in the DB 6a.

  Specifically, in FIGS. 3 to 5, for each genre 6a1, a keyword 6a2 corresponding to the genre is stored. For example, the category of “Mail / Internet” includes “Mail”, “Internet”, “Homepage”, “Virus”, “Virus”, “IP”, “Videophone”, “IP Phone”, and “Communication”. Stored in association.

  Returning to FIG. 1, the search unit 6b reads the genre corresponding to the keyword extracted by the extraction unit 5 from the DB 6a as the genre of the newly installed software, and stores the genre in the search result storage unit 6c. The genre stored in the search result storage unit 6c is used as a candidate indicating the genre of newly installed software.

  In addition, the search unit 6b provides the UI 7 with the genre stored in the search result storage unit 6c.

  The UI 7 includes a display unit and an input unit. When the genre is received from the search unit 6b, the UI 7 reads the AP name from the analysis result storage unit 4f and presents the genre and the AP name.

  The UI 7 also accepts permission to register the AP name in association with the genre. When the UI 7 accepts the permission, the UI 7 outputs the genre and the AP name to the DB registration unit 8.

  The DB registration unit 8 registers the AP name detected by the name detection unit 4 in the DB 1a in association with the genre determined by the genre determination unit 6.

  Next, the operation will be described.

  FIG. 6 is a flowchart for explaining the operation of the information processing apparatus. The operation of the information processing apparatus will be described below with reference to FIG.

  The monitoring part 3 will perform step S1, if operation | movement is started. The monitoring unit 3 is preferably realized by a resident program.

  In step S1, the monitoring unit 3 monitors whether or not a shortcut has been added to the shortcut registration folder 2a that manages the start menu.

  The monitoring unit 3 repeats step S1 until the addition of the shortcut is detected. When the addition of the shortcut is detected, the monitoring unit 3 checks the name of the shortcut folder storing the added shortcut, and determines the name of the shortcut folder as a keyword determination. Provided to the unit 4b and the file type determination unit 4d.

  When the keyword determination unit 4b receives the name of the shortcut folder from the monitoring unit 3, the keyword determination unit 4b executes Step S2.

  In step S2, the keyword discriminating unit 4b first refers to the shortcut registration folder 2a, and a specific keyword (for example, setting, help, uninstallation, deletion) in the DB 4a is added to the name of the shortcut in the folder with that name. Search for included shortcuts.

  The keyword discriminating unit 4b determines that there is a high possibility that a shortcut including a specific keyword in the name is not the main program.

  Subsequently, the keyword discriminating unit 4b receives the name received from the monitoring unit 3 for a keyword that matches the keyword specifying condition stored in the DB 4a (the condition that “the keyword existing before the specific keyword is extracted”). Extract from the name of the shortcut in the folder you have.

  The keyword determination unit 4b determines that the extracted keyword is highly likely to be an AP name.

  Subsequently, when the shortcut having the same name as the name of the shortcut folder received from the monitoring unit 3 exists in the folder, the keyword determination unit 4b determines that the folder name is likely to be an AP name.

  The keyword discriminating unit 4b provides the detecting unit 4e with the keyword extracted from the name of the shortcut and the name assigned to both the shortcut and the shortcut folder.

  On the other hand, when the file type determination unit 4d receives the name of the shortcut folder from the monitoring unit 3, the file type determination unit 4d executes step S3.

  In step S3, the file type determination unit 4d first refers to the property of the shortcut in the shortcut folder specified by the name received from the monitoring unit 3, and determines the type (extension) of the file corresponding to the shortcut. read.

  Subsequently, the file type determination unit 4d compares the type with the extension (EXE) stored in the DB 4c, and determines that the file is an application if the two match. The file type determination unit 4d provides the determination result to the detection unit 4e.

  The keyword discriminating unit 4b and the file type discriminating unit 4d execute steps S2 and S3 for all shortcuts in the shortcut folder specified by the name received from the monitoring unit 3 (step S4).

  When the keyword determination unit 4b and the file type determination unit 4d execute steps S2 and S3 for all shortcuts in the shortcut folder, the detection unit 4e executes step S5.

  In step S5, the detection unit 4e detects the AP name based on the keyword and name received from the keyword determination unit 4b and the determination result of the file type determination unit 4d.

  For example, the detection unit 4e has the same keyword and name received from the keyword determination unit 4b. If the determination result of the file type determination unit 4d indicates an application, the detection unit 4e has the same one. The name is detected as an AP name.

  If the detection unit 4e cannot detect the AP name, step S6 is executed, and if the detection unit 4e detects the AP name, step S7 is executed.

  In step S6, the detection unit 4e displays a message indicating that the AP name could not be detected (for example, “AP name could not be extracted”) on the UI 7, and ends the detection operation.

  On the other hand, in step S7, first, the detection unit 4e searches for the storage location (link destination) of the help file of the program corresponding to the shortcut from the shortcut in the shortcut folder including the shortcut in which the AP name is detected.

  If the help file storage location is not found, the detection unit 4e executes step S8.

  In step S8, the detection unit 4e displays a message indicating that the help file could not be detected (for example, “Help file could not be found”) on the UI 7, and ends the detection operation.

  On the other hand, when the detection unit 4e finds the storage location of the help file, it outputs the storage location to the keyword determination unit 5b.

  Upon receiving the help file storage location from the detection unit 4e, the keyword determination unit 5b executes Step S9.

  In step S9, the keyword determination unit 5b extracts a plurality of keywords that match the keyword extraction condition of the DB 5a from the help file stored in the help file storage location, and sends the plurality of keywords to the frequency analysis unit 5c. provide. When receiving a plurality of keywords, the frequency analysis unit 5c executes Step S10.

  In step S10, the frequency analysis unit 5c analyzes the frequency of appearance of a plurality of keywords and extracts keywords with high frequency. The frequency analysis unit 5c stores the extracted keyword in the analysis result storage unit 5d. Subsequently, the frequency analysis unit 5c provides the keyword stored in the analysis result storage unit 5d to the search unit 6b. Retrieval part 6b will perform Step S11, if a keyword is received.

  In step S11, the search unit 6b reads the genre corresponding to the keyword from the DB 6a as the genre of the newly installed software, and stores the genre in the search result storage unit 6c. Thereafter, the search unit 6b provides the UI 7 with the genre stored in the search result storage unit 6c.

  FIG. 7 is a flowchart for explaining an example of steps S9 to S11. Hereinafter, an example of steps S9 to S11 will be described with reference to FIG.

  In step S101, the keyword discriminating unit 5b determines whether or not the “Introduction” folder exists in the help file folder based on the range limitation condition stored in the DB 5a. Executes step S102, and if there is no “Introduction” folder, executes step S103.

  In step S102, the keyword discriminating unit 5b sets the search target only in the “Introduction” folder, while in step S103, the keyword discriminating unit 5b sets the search target in the entire folder of the help file.

  In general, the “Getting Started” folder often contains an overview of the software functions. For this reason, when there is an “Introduction” folder, it is highly possible that a keyword representing a software function can be detected even if the search target is narrowed down to the “Introduction” folder. In addition, the search processing can be reduced by narrowing down.

  The search target is not limited to the “Introduction” folder, but may be a folder (for example, “Summary” folder) that is highly likely to contain an overview of software functions. In this case, the range limiting condition stored in the DB 5a defines that the folder is set as a search range.

  Thereafter, the keyword determination unit 5b executes Step S104.

  In step S104, the keyword determination unit 5b extracts nouns from the search target based on the keyword extraction condition “extract nouns from sentences beginning with“ (AP name) is ”” in the DB 5a. Thereafter, the keyword determination unit 5b executes Step S105.

  In step S105, the keyword determination unit 5b can perform the keyword extraction condition ““ in the DB 5a. Based on "extract nouns from sentences ending with", nouns are extracted from the search target.

  The keyword discriminating unit 5b provides the extracted nouns to the frequency analyzing unit 5c. When receiving the nouns, the frequency analysis unit 5c executes step S106.

  In step S106, the frequency analysis unit 5c analyzes the appearance frequency of a plurality of nouns and extracts nouns with high frequency (for example, top 10 words). The frequency analysis unit 5c stores the extracted noun in the analysis result storage unit 5d, and provides the search unit 6b with the noun stored in the analysis result storage unit 5d. When receiving the noun, the search unit 6b executes Step S107.

  In step S107, the search unit 6b reads the genre corresponding to the noun from the DB 6a as the genre of the newly installed software, and stores the genre in the search result storage unit 6c. Thereafter, the search unit 6b executes Step S108.

  In step S108, when a plurality of genres are read, the search unit 6b sorts the genres in the order of more hits and stores them in the search result storage unit 6c. After that, the search unit 6b provides the UI 7 with the genre located at the top of the genres stored in the search result storage unit 6c (the genre having the highest hit rate).

  Thereafter, step S12 shown in FIG. 6 is executed.

  In step S12, when the UI 7 receives the genre from the search unit 6b, the UI 7 reads the AP name from the analysis result storage unit 4f and presents the genre and the AP name.

  Thereafter, the UI 7 executes Step S13.

  In step S13, when the UI 7 receives permission from the user to register the presented AP name in association with the presented genre, the UI 7 provides the presented genre and AP name to the DB registration unit 8, while When a prohibition command for prohibiting the registration is received from the user, step S14 is executed.

  In step S14, the UI 7 reads the next rank genre from the search result storage unit 6c. When the UI 7 reads the genre of the next rank, the UI 7 executes step S12 and presents the read genre and the AP name.

  On the other hand, the UI 7 executes step S15 if there is no genre of the next rank in the search result storage unit 6c.

  In step S15, the UI 7 displays a message indicating that the AP name could not be registered in the software introduction unit 1 (for example, “AP name could not be registered in the software introduction unit 1”) and ends the detection operation.

  On the other hand, when receiving the AP name and genre from the UI 7, the DB registration unit 8 executes Step S16.

  In step S16, the DB registration unit 8 registers the AP name in the DB 1a in association with the genre.

  Next, as a specific example, an operation when a “home net supporter” (application) is newly stored in the PC data storage unit 2 will be described.

  FIG. 8 is an explanatory diagram showing the registration status in the start menu (shortcut registration folder 2a) of the home net supporter and the detection result of the name detection unit 4 corresponding thereto.

  In this case, the name detection unit 4 detects “Home Net Supporter” which is a valid name as the AP name.

  FIG. 9 is an explanatory diagram showing the structure of the “Introduction” folder in the help of “Home Net Supporter” stored in the program registration folder 2b. As shown in FIG. 9, the “Introduction” folder includes files “Preparation before use”, “What is a home network?”, And “What can be done?”.

  FIG. 10 is an explanatory diagram showing the contents of the file “Preparation before use”, and FIG. 11 is an explanatory diagram showing the contents of the file “What is a home network?” These are explanatory drawings showing the contents of the file “What can I do?”.

  13 and 14 show the extraction result 5b1 of the keyword discriminating unit 5b for the “Introduction” folder shown in FIGS. 10 to 12, the frequency extraction result 5c1 of the frequency analysis unit 5c, and the search result 6b1 of the search unit 6b corresponding thereto. It is explanatory drawing which showed. The keywords used by the search unit 6b are the top 10 in descending order of frequency. The number of keywords used by the search unit 6 is not limited to 10 and can be changed as appropriate.

  FIG. 15 is an explanatory diagram showing a sorting result obtained by sorting the search results shown in FIG. 13 in the hit order.

  In this case, the search unit 6b outputs “network setting” appropriate as the genre of “home net supporter”.

  According to the present embodiment, the name detection unit 4 automatically detects the AP name, the genre determination unit 6 automatically specifies the software genre, and the DB registration unit 8 specifies the AP name. In association with the selected genre, it is automatically registered in the DB 1a of the software introduction unit 1.

  Therefore, it is possible to easily register the installed software in the DB 1a, and the user does not need to manually register the installed software in the DB 1a as in the past.

  In the present embodiment, the name detection unit 4 detects the name of the software from the shortcut stored in the shortcut registration folder 2a, and the extraction unit 5 extracts the keyword from the help file stored in the program registration folder 2b. .

  There is a high possibility that the name of the software is included in the shortcut, and there is a high possibility that the shortcut has a smaller amount of information than the program. The help file is likely to contain a keyword indicating the function of the software.

  For this reason, it becomes possible to reduce the investigation object of the software name and the keyword compared with the case where the entire software is the investigation object.

  In the present embodiment, when the monitoring unit 3 detects that a new shortcut is registered in the shortcut registration folder 2a, the name detection unit 4 detects an AP name from the new shortcut, and the extraction unit 5 The keyword is extracted from the help file of the program corresponding to the new shortcut.

  In this case, whenever new software is stored, the software can be automatically registered in the DB 1a.

  In this embodiment, the keyword discriminating unit 4b extracts keywords from the shortcuts stored in the shortcut registration folder 2a based on the keyword specifying conditions stored in the DB 4a, and the file type discriminating unit 4d Based on the shortcut stored in 2a, the type of the file corresponding to the shortcut is determined, and the detection unit 4e detects the keyword extracted by the keyword determination unit 4b and the type determined by the file type determination unit 4d. Based on the above, the AP name is detected.

  In this case, the AP name detection accuracy can be increased.

  Moreover, in this embodiment, the keyword discrimination | determination part 5b extracts several nouns from the range in the help file limited by the range limitation conditions stored in DB5a, and the frequency analysis part 5c is the keyword discrimination | determination part 5b. Analyzing the frequency of a plurality of nouns extracted in step 1, and extracting nouns with high frequency as keywords.

  In this case, it is possible to increase the accuracy of extracting a keyword indicating the software genre. Further, since the range for extracting nouns is limited, the noun extraction process can be reduced.

  Moreover, in this embodiment, the detection part 6b reads the genre corresponding to the keyword extracted in the extraction part 5 from DB6a as a software genre.

  In this case, it becomes possible to improve the determination accuracy of the genre of software.

  In the present embodiment, the UI 7 presents the AP name detected by the name detection unit 4 and the genre determined by the genre determination unit 6, and the DB registration unit 8 accepts registration permission by the UI 7. Then, the presented name is registered in the DB 1a in association with the presented genre.

  In this case, the software is registered in the DB 1a after the user confirmation is obtained. For this reason, it is possible to prevent the software from being registered in the wrong genre.

  In the embodiment described above, the illustrated configuration is merely an example, and the present invention is not limited to the configuration.

  For example, the shortcut may not be registered in the shortcut registration folder 2a, and the program and the help file may not be registered in the program registration folder 2b.

  In this case, the monitoring unit 3 monitors the copy command, and provides the name detection unit 4 with the file added by the new copy command.

  If the extension of the file linked to the file is EXE, the name detection unit 4 detects the name of the file with the extension of EXE as the AP name. The name detection unit 4 provides the link destination to the extraction unit 5. If there is a help file for the program at the link destination, the extraction unit 5 extracts a keyword from the help file.

  Further, the user may manually register the software in the DB 1a using the UI 7 as in the related art.

  Moreover, in the said Example, although the name detection part 4 started operation | movement, when the monitoring part 3 detected a new shortcut, for example, when UI7 receives operation start instruction | indication, you may make it start operation | movement. . In this case, the software can be easily registered in the DB 1a without the monitoring unit 3.

  Note that after the UI 7 displays a message that the AP name could not be registered in the software introduction unit 1, the user operates the UI 7 to select a genre in the DB 1a in which the AP name is to be registered. When the AP name is registered in the genre, the DB registration unit 8 may perform the following operation.

  The DB registration unit 8 registers the nouns with high appearance frequency (for example, the top 5 words) stored in the analysis result storage unit 5d at that time in the DB 6a in association with the genre selected by the user. In this case, the user's selection is reflected in the DB 6a, and the accuracy of information in the DB 6a may be improved.

It is the block diagram which showed the information processing apparatus of one Embodiment of this invention. It is explanatory drawing which showed an example of the data registered into DB1a. It is explanatory drawing which showed an example of the data registered into DB1a. It is explanatory drawing which showed an example of the data registered into DB1a. It is explanatory drawing which showed an example of the data registered into DB6a. It is explanatory drawing which showed an example of the data registered into DB6a. It is explanatory drawing which showed an example of the data registered into DB6a. It is a flowchart for demonstrating operation | movement of this information processing apparatus. It is a flowchart for demonstrating an example of operation | movement of this information processing apparatus. It is explanatory drawing which showed the registration condition to the start menu of a home net supporter, and the detection result of the name detection part 4. FIG. It is explanatory drawing which showed the structure of the "Introduction" folder of the help of "Home Net supporter." It is explanatory drawing which showed the content of the file of "preparation before use". It is explanatory drawing which showed the content of the file of "what is a home network?" It is explanatory drawing which showed the content of the file of what can be done. It is explanatory drawing which showed the extraction result 5b1 of the keyword discrimination | determination part 5b, the frequency extraction result 5c1 of the frequency analysis part 5c, and the search result 6b1 of the search part 6b. It is explanatory drawing which showed the extraction result 5b1 of the keyword discrimination | determination part 5b, and the frequency extraction result 5c1 of the frequency analysis part 5c. It is explanatory drawing which sorted the search result into hit order, and showed the sort result.

Explanation of symbols

1 Software Introduction Department 1a DB
1b Introduction unit 2 PC data storage unit 3 Monitoring unit 4 Name detection unit 4a DB
4b Keyword discriminator 4c DB
4d file type determination unit 4e detection unit 4f analysis result storage unit 5 extraction unit 5a DB
5b Keyword discriminating unit 5c Frequency analyzing unit 5d Analysis result storing unit 6 Genre determining unit 6a DB
6b Search unit 6c Search result storage unit 7 UI
8 DB registration department

Claims (8)

A management unit that manages software by genre;
A storage unit for storing software ;
An extraction unit for extracting a keyword from the software stored before Symbol storage unit,
A genre determination unit that determines a genre of the software based on the keywords extracted by the extraction unit;
A registration unit that registers the software in the management unit in association with the genre determined by the genre determination unit ;
The software includes a program that is an executable binary code, a shortcut for the program, a help file for the program, and a shortcut for the help file.
The storage unit has a shortcut registration folder for storing a shortcut of the program and a shortcut of the help file,
The information processing apparatus , wherein the extraction unit extracts a keyword from a help file specified by a shortcut of the help file stored in the shortcut registration folder . The information processing apparatus according to claim 1 ,
A monitoring unit for monitoring whether a shortcut of a new program and a shortcut of a help file are registered in the shortcut registration folder;
The information processing apparatus, wherein the extraction unit extracts a keyword from a help file specified by a shortcut of the new help file . The information processing apparatus according to claim 1 or 2 ,
A name detection unit for detecting a name of the software from the software stored in the storage unit;
The name detection unit
A specific condition storage unit for storing a keyword specifying condition for specifying a keyword to be extracted from the shortcut stored in the shortcut registration folder;
A keyword discriminating unit for extracting a keyword from a shortcut stored in the shortcut registration folder based on a keyword specifying condition stored in the specific condition storing unit;
A type discriminating unit for discriminating the type of a file corresponding to the shortcut based on the shortcut stored in the shortcut registration folder;
An information processing apparatus comprising: a detection unit that detects a keyword extracted by the keyword determination unit as a name of the software when the type determined by the type determination unit indicates an execution file . The information processing apparatus according to any one of claims 1 to 3 ,
The extraction unit includes:
From the help file stored in the storage unit, a limiting condition storage unit that stores a range limiting condition for limiting the range of extracting a plurality of nouns;
A noun extraction unit for extracting a plurality of nouns from the range in the help file limited by the range limitation condition;
An information processing apparatus, comprising: a frequency analysis unit that analyzes appearance frequencies of a plurality of nouns extracted by the noun extraction unit and extracts the nouns having a high frequency as the keywords. The information processing apparatus according to any one of claims 1 to 4 ,
The genre determination unit
For each genre, a genre determination information storage unit in which a keyword corresponding to the genre is stored;
An information processing apparatus comprising: a search unit that reads a genre corresponding to the keyword extracted by the extraction unit from the genre determination information storage unit as a genre of the software. The information processing apparatus according to any one of claims 1 to 5 ,
A user interface that presents the name detected by the name detection unit and the genre determined by the genre determination unit, and that accepts permission to register the name in association with the genre;
When the user interface accepts the permission, the registration unit associates the name with the genre and registers the information in the management unit. A management unit for managing software by genre, a storage unit and a software registration method including information processing apparatus performs for storing software,
An extraction step of extracting a keyword extraction section, the software stored before Symbol storage unit,
A genre determination unit for determining a genre of the software based on the extracted keyword;
Registration unit, the software, in association with the determined genre, only contains a registration step, the to be registered in the management unit,
The software includes a program that is an executable binary code, a shortcut for the program, a help file for the program, and a shortcut for the help file.
The storage unit has a shortcut registration folder for storing a shortcut of the program and a shortcut of the help file,
In the extracting step, the extracting unit extracts a keyword from a help file specified by a shortcut of the help file stored in the shortcut registration folder . A management unit for managing software by genre, a storage unit for storing the software, the a program for executing the software registration process including computer,
The software registration process includes
An extraction process of extracting a keyword from the software stored before Symbol storage unit,
A genre determination process for determining a genre of the software based on the extracted keyword;
The software, in association with the determined genre, only including the registration process, the to be registered in the management unit,
The software includes a program that is an executable binary code, a shortcut for the program, a help file for the program, and a shortcut for the help file.
The storage unit has a shortcut registration folder for storing a shortcut of the program and a shortcut of the help file,
In the extraction process, a program for extracting a keyword from a help file specified by a shortcut of the help file stored in the shortcut registration folder .

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