JP2010048658A - Apparatus, system and method for managing stop point information - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To manage the information on a stop point so that a user can intuitively recognize (understand) the same, by automatically adding a name of the stop point thereto. <P>SOLUTION: An apparatus has: a stop information acquisition part 20, which acquires stop information including the stop time and stop point at which a vehicle has stopped; an activity information acquisition part 30, which acquires activity information 2021 including time information and relating to activities of the user; a point name supposing part 40, which extracts letters expressing a facility from the activity information 2021 including the time information corresponding to the stop time, referring to a facility dictionary 41 which defines words relating to a facility name, and supposes the facility name corresponding to the extracted letters to be the name of the stop point; a name adding part 50, which adds the supposed name to the stop point; and an output part 60, which externally outputs the stop point having the name added. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a stop point information management apparatus, a stop point information management system, and a stop point information management method for managing a stop point of a vehicle with a name that is easily recognized by a user.

  Vehicle travel guidance that registers the location information included in the map data, nearby landmark names, general-purpose names, or other optional names on the spot with information on the point where the vehicle is stopped and the engine is turned off An apparatus is known (see Patent Document 1).

JP 2001-108466 A

  However, since conventional vehicle travel guidance devices are indexed at stopping points regardless of the user's own perception, the user's impression of the stopping point is light and intuitively recognizes the stopping point where the user is registered There was a problem that (understanding) could not be done.

  The problem to be solved by the present invention is to manage information on stopping points so that the user can intuitively recognize (understand) the information.

  The present invention solves the above problem by assigning a name to a stop point based on the stop time and stop point of the vehicle and the user's action information associated with the time information.

  According to the present invention, since a name can be given to a stop point based on a user's action record, even when the stop point is automatically registered, information on the stop point is intuitive to the user. It can be recognized (understood).

  The stop point management apparatus 100 of this embodiment is an apparatus that assigns a name to a stop point of a vehicle and manages the stop point. The name of the managed stop point is used for the destination of the route search process, the creation of the user's action history, and the like.

  FIG. 1 is a diagram illustrating a configuration example of a stop point management system 10000 including a stop point management device 100. As shown in FIG. 1, the stop point management system 10000 includes an in-vehicle device A including a stop point management device 100 mounted on a vehicle, and an information providing server 2000A and / or 2000B. The information providing server 2000 may be an information management computer included in an information center that manages the exchange of information such as providers, or may be an information management computer connectable to a communication network.

<First Embodiment>
Embodiments according to the present invention will be described below with reference to the drawings.

  FIG. 2 is a diagram illustrating an example of a block configuration of an in-vehicle navigation device 1000 including the stop point management device 100 according to the present embodiment, and an example of a block configuration of the information providing server 2000.

  First, the information providing server 2000 will be described. The information providing server 2000 performs a recording process of the behavior information 2021 related to the user's behavior.

  Specifically, the information providing server 2000 includes a server side communication function 2010 and a storage function 2020.

  The server-side communication function 2010 has a wired or wireless communication function, and exchanges information with a stop point management apparatus 100 and a personal computer 3000 described later.

  Further, the storage function 2020 centrally manages information (including behavior information 2021) identified for each user, and accepts writing, editing, and third party browsing of the behavior information 2021.

  This behavior information 2021 includes time information and is information related to the behavior actually performed by the user. The behavior information 2021 preferably includes information such as “when”, “where”, and “what”, “where”, and “what” the user is at. For example, as the behavior information 2021, weblog information 2022 in which a user records his / her behavior in a diary on a site provided on an accessible communication network, or for the user to inform others of his / her behavior. The e-mail information 2023 described in the above can be used. In addition, as the behavior information 2021, a schedule book in which the user's behavior recorded in the personal computer 3000 or the information providing server 2000 is recorded can be used.

The user can input the action information 2021 from the personal computer 3000 without selecting time and place. The personal computer 3000 has a web browser function, accesses a web log site provided on the information providing server 2000 side, writes information in an area with a user ID, and reads the written information. The personal computer 3000 has an e-mail transmission / reception function, and can create, send and receive e-mails.

  The personal computer 3000 may be a small computer such as a PDA (Personal Digital Assistant), a PND (Personal Navigation Device), or a mobile phone that can be carried by the user.

  Next, the in-vehicle device A will be described. The in-vehicle device A of the present embodiment includes a navigation device 1000 including a stop point management device 100, a vehicle controller 4000, and an input / output device 5000. The navigation device 1000 (including the stop point management device 100), the vehicle controller 4000 that centrally manages vehicle and vehicle-mounted device information, and the input / output device 5000 are connected by a CAN (Controller Area Network) or other vehicle-mounted LAN. And exchange information with each other.

  The navigation device 1000 including the stop point management device 100, the vehicle controller 4000, the information providing server 2000, and the external device 3000 include a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a DSP (Digital Signal Processor), An operation circuit such as an FPGA (Field Programmable Gate Array) is combined.

  Next, the stop point management apparatus 100 will be described.

  The stop point management apparatus 100 according to the present embodiment includes a communication unit 10, a stop information acquisition unit 20, a behavior information acquisition unit 30, a point name estimation unit 40, a name appendage unit 50, and an output unit 60. Although not specifically limited, the point name estimation unit 40, the communication unit 10, the stop information acquisition unit 20, the behavior information acquisition unit 30. The name adding unit 50 and the output unit 60 include, for example, a program configured by a microcomputer and a memory, an ASIC (Application Specific Integrated Circuit) in which each process is incorporated as a circuit, and an FPGA (Field Programmable Gate Array). Can be configured.

  Hereinafter, functions of each component of the stop point management apparatus 100 will be described.

  The communication unit 10 includes a wide area communication function for performing communication with the information providing server 2000 configured on the communication network, and exchanges information with the information providing server 2000, the personal computer 3000, and other external devices. The specific mode of the communication unit 10 is not particularly limited, and a mobile phone network, a wireless LAN such as UWB (Ultra Wide Band) or DSRC (Dedicated Short Range Communication), a terrestrial data broadcast wave, a satellite broadcast wave, or the like is used. Can do.

The communication unit 10 has a wireless communication function via a CAN (Controller Area Network) or other in-vehicle LAN in order to exchange information with the navigation device 1000, the vehicle controller 4000, the input / output device 5000 and other in-vehicle devices. .

  The stop information acquisition unit 20 has a stop information storage function 21, and acquires and stores stop information including a stop time and a stop point of the vehicle accumulated in the storage device 300 included in the navigation device 1000.

  The storage device 300 of the navigation device 1000 determines the timing at which the vehicle stops based on the information obtained from the vehicle controller 4000, acquires the current position at the stop timing from the current position detection device 200, and associates them with the stop. Accumulated as history 302.

Specifically, the storage device 300 determines the timing at which the vehicle stops based on the timing at which the vehicle has finished traveling based on the ignition switch information, the ACC on / off information, and the engine information acquired from the vehicle controller 4000.

  The current position detection unit 200 of the navigation apparatus 1000 includes a GPS system 201, receives radio waves transmitted from positioning satellites with a GPS antenna, and acquires the current position of the host vehicle at predetermined intervals. The current position detection unit 200 measures the position of the vehicle using autonomous navigation that estimates the current position by a cumulative calculation method based on positioning data input from a gyro sensor and a distance sensor attached to a wheel. The expression mode of the current position of the vehicle is not particularly limited, and can be expressed based on latitude / longitude and other map coordinates.

  The storage device 300 acquires the current position at the timing when the vehicle stops from the current position detection unit 200. And the memory | storage device 300 memorize | stores the timing (stop time) and stop point where the vehicle stopped as the stop history 302, and permits the stop point management apparatus 100 to refer to the stop history 302. FIG.

  Next, the behavior information acquisition unit 30 will be described. The behavior information acquisition unit 30 of the present embodiment accesses the storage function 2020 of the information providing server 2000 via the communication unit 10 and acquires the behavior information 2021 stored here.

When the behavior information 2021 is stored in the personal computer 3000, the behavior information acquisition unit 30 accesses the personal computer 3000 via the communication unit 10 and acquires the behavior information 3031 stored in the storage function 303. May be.

  Furthermore, the spot name estimation part 40 is demonstrated.

  The point name estimation part 40 of this embodiment estimates the name of a stop point based on the stop time of a vehicle and action information 2021. Specifically, the location name estimation unit 40 refers to time information included in the behavior information 2021 and estimates the name of the stop location based on the behavior information 2021 related to the behavior performed at the time corresponding to the stop time of the vehicle. To do.

The relationship between the stop time of the vehicle and the time information of the action information 2021 corresponding thereto can be arbitrarily defined. For example, the time information of the behavior information 2021 includes the time including the stop time of the vehicle, the time including part or all of the time from the stop time of the vehicle to the start time of travel of the vehicle (the vehicle is stopped in a certain facility, It can be defined as the time until using the facility and returning from the facility and the time when a part or all of it is long), the date to which the stop time of the vehicle belongs, and the like.

The “behavior information 2021 including time information corresponding to the stop time of the vehicle” in the present embodiment is an article about the user's action in the time, date or period (week, month, season, vacation) including the stop time. This includes web log information and e-mail information.

Next, a method for estimating the name of the stop point will be described. Although the method of estimating the name of the stop point is not particularly limited, examples of four methods will be described below.

  In the first method, the spot name estimation unit 40 estimates a facility name using a facility dictionary 41 prepared in advance.

  The point name estimation part 40 of this embodiment is provided with the facility dictionary 41 which defines the word regarding the name of a facility previously. The location name estimation unit 40 refers to the facility dictionary 41, extracts words related to the facility name from the behavior information 2021 including time information corresponding to the stop time, and sets the facility name corresponding to the extracted word as the stop point name. Infer.

  FIG. 3 is a diagram illustrating an example of the facility dictionary 41. As shown in FIG. 3, the facility dictionary 41 includes a facility ID (identification symbol) for identifying a facility, location information of the facility, and a facility name list. The facility name list includes an official name of the facility and an abbreviation of the name of the facility (when there are plural types of abbreviations, each abbreviation).

  In addition, the facility dictionary 41 can also define a lexical phrase that is commonly used for a facility name as a facility name list. For example, words such as “center”, “mall”, “club”, “land”, “building”, “place”, and “institution” may be defined as words that indicate facilities, as words that are likely to be included in the name of the facility. Good.

  The location name estimation unit 40 refers to such a facility dictionary 41 and extracts a word related to the facility from the behavior information 2021 in a text form in which a record of the user's behavior in the time zone including the stop time is recorded. The facility name corresponding to the word is estimated as the name of the stop point.

  In the second method, the facility name estimation unit 40 estimates the facility name based on the phrase in the behavior information 2021 in which the behavior of the user stopping at a certain place is expressed.

  The point name estimation part 40 of this embodiment is provided with the action dictionary 42 which predefines the word regarding the action which stops at a certain place. The point name estimation unit 40 refers to the behavior dictionary 42 and extracts a phrase related to “behavior that stops at a certain place” from the behavior information 2021 including time information corresponding to the stop time.

  FIG. 4 is a diagram illustrating an example of the behavior dictionary 42. As shown in FIG. 4, a word relating to an action of a user stopping at a certain place is defined in advance. As the words related to the behavior that the user stops at a certain place, a word that allows the user to infer the fact that the user existed in “a certain facility” can be arbitrarily defined. As shown in FIG. For example, words such as “stopped” at a certain place, “visited” a certain place, and “arrived” at a certain place can be exemplified.

  Furthermore, the point name estimation unit 40 of the present embodiment has a syntax analysis function 43 that analyzes a dependency structure between a clause (word) and a clause (word) in a sentence described in a natural language. The parsing function 43 specifies words having a dependency relationship with a phrase related to an action that stops at a certain location extracted earlier. The parsing function 43 analyzes the dependency structure between the action “the user performed” and the “place where the user went”, and receives the “word about the action to stop at a certain place”. ”Is specified.

  The point name estimation unit 40 estimates a word that is specified by the syntax analysis function 43 and that is related to a phrase related to the stopping-by action as the name of the stop point.

  In the third method, the facility name estimation unit 40 estimates the facility name based on the names of facilities around the stop point.

  The point name estimation unit 40 according to the present embodiment includes facility information 441 in which position information and facility names are associated with each other, and a facility information reference function 44 that refers to the facility information 441. The facility information reference function 44 can refer to the facility information 410 superimposed on the map information 400 of the navigation device 1000.

  FIG. 5 is a diagram illustrating an example of the facility information 441 or 410. As shown in FIG. 5, in the facility information 441 or 410, position information and a facility name are associated with a facility ID (identification symbol) that identifies the facility.

  The point name estimation unit 40 refers to the facility information 441 or 410 based on the stop point acquired by the stop information acquisition unit 20, and selects a facility whose distance from the stop point is less than a predetermined value. Furthermore, when the selected facility (facility within a predetermined distance from the stop point) is included in the behavior information 2021 including the time information corresponding to the stop time, the point name estimation unit 40 displays the selected facility as the stop point. Guess the name. That is, the point name estimation part 40 estimates the facility described in the action information 2021 among the facilities located near the stop point as the name of the stop point.

  In the fourth method, the facility name estimation unit 40 estimates the facility name based on the attributes of the facilities around the stop point.

  The point name estimation unit 40 according to the present embodiment includes facility information 441 in which position information, a facility name, and a facility attribute are associated with each other, and a facility information reference function 44 that refers to the facility information 441.

  As shown in FIG. 5, in the facility information 441 or 410, the location information and the facility name are associated with the facility ID (identification symbol) that identifies the facility, and further, the facility attribute is associated.

  The facility attributes include “category category” information that indicates what type of facility the facility is, “service content of the facility” that indicates what service the facility provides, and what the facility is “Products handled by the facility” indicating whether the product is sold, and “purposes of the facility” indicating what purpose the facility is used for. These attributes may overlap each other.

  For example, the facility category includes “Outlet Mall”, “Amusement Hall”, “Museum”, “Shopping Center”, “Hotel”, “Restaurant”, “Hot Spring”, and the like. “Service contents” include “restaurant”, “barbecue”, “ramen”, “gas station”, and the like. “Handling products” include “department store (department store)” “supermarket” “bread” “cake” and the like. The “purpose” is “shopping”, “hospital”, “exercise”, “play”.

  The point name estimation unit 40 refers to the facility information 441 or 410 including the facility attributes such as the service content of the facility and the handling products of the facility, and the lexical representing the facility attribute from the behavior information 2021 including the time information corresponding to the stop time And the facility name corresponding to the extracted lexical phrase is estimated as the name of the stop point.

  The point name estimation unit 40 sends the name of the stop point estimated using the above method to the name appendage unit 50.

  The name adding unit 50 associates the name estimated by the point name estimating unit 40 with the ID (identification symbol) of the stop point, writes it in the internal name storage area 51, or sends it to the output unit 60. The name storage area 51 stores the stored stop point and name information in a readable state.

  The output part 60 outputs the information of the stop point to which the name was attached outside. Information on the stop point with the name added is output to the navigation apparatus 1000, the information providing server 2000, or the personal computer 3000.

  The “information of the stop point with the name attached” is used for setting the destination in the route search unit 500 of the navigation device 1000. The destination setting function 510 of the route search unit 500 presents information on the stop point with the name to the user via the display 5001. The user can select a destination by looking at the list of presented names. Since the name of the point presented is estimated based on the behavior experienced by the user, the user can intuitively recognize the point and select the destination appropriately. .

  Further, the “information on the stopping point with the name attached” output to the information providing server 2000 or the personal computer 1000 can be used as a user's action history. The user can check the movement history from the information of the stop point with the name.

  Next, an operation control procedure of the stop point management apparatus 100 configured as described above will be described based on the flowchart of FIG.

  The stop point management apparatus 100 starts processing in response to the engine on or engine off signal acquired from the vehicle controller 4000. Note that power supply for a predetermined time is ensured even after the engine is turned off.

  In step S101, the stop information acquisition unit 20 accesses the stop history 302 of the storage device 300, and acquires the stop time and stop point.

  In step S <b> 102, the behavior information acquisition unit 30 accesses the information providing server 2000 and acquires behavior information 2021.

  In step S103, the point name estimation unit 40 estimates the name of the stop point based on the stop time acquired in step S101 and the behavior information 2021 acquired in step S102. This process will be described in detail later.

  Furthermore, in step S104, the name adding unit 50 associates the name estimated in step S103 with the information on the stop point.

  In step S <b> 105, the output unit 60 sends the stop point with the name to the outside such as the route search unit 500 of the navigation device 1000.

  Next, the spot name estimation process will be described based on the flowchart of FIG. The processing shown in FIG. 7 relates to the first method and the second method among the aforementioned methods for estimating the name of the stop point.

  First, in step S <b> 201, the spot name estimation unit 40 acquires the stop time when the vehicle stops via the stop information acquisition unit 20.

  In step S202, the spot name estimation unit 40 refers to the behavior information 2021 acquired by the behavior information acquisition unit 30, and selects the behavior information 2021 on the date (time information) including the stop time. And the spot name estimation part 40 performs a morphological analysis about the sentence of the acquired action information 2021, extracts the word or lexical phrase contained in the action information 2021, and produces a morpheme list.

  FIG. 8 is a diagram illustrating an example of the selected behavior information 2021. The behavior information 2021 shown in FIG. 8 is information described by the user regarding the behavior of the user himself / herself on the web log site provided on the information providing server 2000 side. The behavior information 2021 illustrated in FIG. 8 includes a region A including time information, a region B including heading information, and a region C including text information. The behavior information 2021 in FIG. 8 is a description regarding the behavior that the user went to “Granberry Mall (registered trademark)”.

  The time information in the behavior information 2021 is date information written in the A area. The mode of the time information is not particularly limited, and may be described in the main part of the C region. In addition, the point name estimation unit 40 determines the action information from the date information written in the A area and the words specifying the dates such as “Yesterday”, “Last week”, and “Tomorrow” described in the text of the C area. Time information when the action 2021 is performed can also be obtained.

  In step S203, the spot name estimation unit 40 refers to a facility dictionary 41 that defines words related to facility names.

  In subsequent step S <b> 204, the spot name estimation unit 40 extracts a word representing a facility defined in the facility dictionary 41 from the morpheme list of the behavior information 2021.

For example, in the facility dictionary 41, the name “Granberry Mall” and the abbreviations “Granberry” and “Gramo” are defined for the facility identification ID of the facility “Granberry Mall”, and the facility “La Fett (registered) It is assumed that the name “La Fett Tama” and the abbreviations “La Fett” and “Rafetama” are registered for the facility identification ID of “Tama”.

The spot name estimation unit 40 performs morphological analysis on the text information text of the behavior information 2021 illustrated in FIG. 8 and extracts “Granberry” of the word W1 and “La Fett” of the word W2 included in the behavior information 2021.

  Furthermore, in step S205, the spot name estimation unit 40 determines whether the name of the facility has been extracted in step S204. If there is no facility name in the behavior information 2021, the process ends (S211). On the other hand, if the name of the facility is extracted in step S204, the process proceeds to step S206, and it is determined whether there are a plurality of facility names included in the behavior information 2021.

  If there is not a plurality of facility names included in the behavior information 2021 in step S206, that is, if only one facility name is included in the behavior information 2021, the process proceeds to step S209.

  On the other hand, if a plurality of facility names included in the behavior information 2021 are extracted in step S206, the process proceeds to step S207. In the behavior information 2021 shown in FIG. 8, since words related to two facility names are extracted, the process proceeds to step S207.

  In step S207, the spot name estimation unit 40 refers to the behavior dictionary 42 that defines words related to behavior that stops at a certain place, and extracts phrases related to behavior that stops at a certain location from behavior information 2021 that includes time information corresponding to the stop time. To do.

For example, it is assumed that the word “going out” is registered in the action dictionary 42 in which a word related to an action at a certain place shown in FIG. 4 is defined.

The spot name estimation unit 40 extracts “outing” of the lexical word W6 included in the text information of the behavior information 2021 shown in FIG.

  Further, in step S208, the syntax analysis function 43 of the spot name estimation unit 40 analyzes the text information text of the behavior information 2021, and extracts words having a dependency relationship with the extracted clause. Taking the behavior information 2021 shown in FIG. 8 as an example, the spot name estimation unit 40 extracts “Granberry” of the word W1 having a dependency relationship with “outing” of the lexical word W6.

  In step S209, the point name estimation unit 40 estimates a word having a relationship between a clause related to the user's stop-by action and a dependency as the name of the stop point. Taking the action information 2021 shown in FIG. 8 as an example, the word “Granberry” of the word W1 is estimated as the name of the stop point.

  In this way, not only whether or not the facility name is included, but also to analyze the syntax of the sentence and infer the name of the stop based on the dependency relationship with the word representing the user's stopping action, The name of the stop point can be estimated based on the person's action.

  Next, another example of the spot name estimation process will be described based on the flowchart of FIG. The process shown in FIG. 9 relates to the third method and the fourth method among the aforementioned methods for estimating the name of the stop point.

  First, in step S <b> 301, the point name estimation unit 40 acquires the stop point of the vehicle via the stop information acquisition unit 20.

  In step S302, the spot name estimation unit 40 refers to the facility information 441 or 410 as shown in FIG. 3, selects a facility within a predetermined distance range from the stop point, and specifies its name.

FIG. 10 is a diagram showing the vicinity of the stop point X where the user's vehicle has stopped. As shown in FIG. 10, facilities B to E exist in a region (inside a broken-line circle) that is less than a predetermined distance centered on the stop point X.

  The point name estimation unit 40 refers to the facility information 441 or 410 and, as shown in FIG. 11, the name of the point B is “Granberry Mall” and the name of the point C for facilities within a predetermined distance range from the stop point X. Is “Minamimachida Station”, the name of the point D is “Ramen XX house”, and the name of the point E is “XX park”.

Furthermore, in step S303, the spot name estimation unit 40 compares the time information included in the behavior information 2021 with the stop time, and reads the behavior information 2021 including the time information of the time including the stop time. And the spot name estimation part 40 performs a morphological analysis about the acquired action information 2021, and produces the morpheme list which made the phrase contained in the action information 2021 a list.

  In step S304, the spot name estimation unit 40 determines whether the behavior information 2021 including the time information corresponding to the stop time includes the name of the facility near the stop point selected in step S302. When the behavior information 2021 includes the name of a facility existing near the stop point, the name of the facility is specified.

  For example, “Granberry Mall” is included in the morpheme list of the action information 2021 shown in FIG. 8, and “Granberry Mall” is used as the name of the facility existing within a predetermined distance range from the stop point X, as shown in FIG. When “Minamimachida Station”, “Ramen XX House”, and “XX Park” are specified, the common name “Granberry Mall” is specified.

  In subsequent step S305, the spot name estimation unit 40 determines whether one facility name that is within a predetermined distance range from the stop point and is included in the behavior information 2021 has been identified. If only one facility name is specified, the spot name estimation unit 40 proceeds to step S310.

  In step S310, the spot name estimation unit 40 estimates the facility name specified in step S305 as the name of the stop point.

  Returning to step S305 again, in step S305, only one facility name within a predetermined distance range from the stop point could not be specified, that is, when no facility name could be specified, and a plurality of facility names could be specified. If so, the process proceeds to step S306. In the example shown in FIGS. 10 and 11, since four facility names are specified, the process proceeds to step S306. Of course, from the viewpoint of improving the accuracy of the name estimation process, the processes in and after step S306 may also be performed for facilities that are within a predetermined distance range from the stop point.

  Subsequently, in step S306, the spot name estimation unit 40 refers to the facility information 441 or 410 in which the facility attribute and the facility name are associated with each other.

In step S307, the point name estimation unit 40 refers to the previously created morpheme list and extracts a lexical representing the facility attribute from the behavior information 2021 including time information corresponding to the stop time. A lexical representing the attribute of the facility to be extracted is defined in advance in the facility attribute 441 or 413.

  For example, if “Outlet Shop” is included as the facility category of the facility attribute 441 or 413, “Down Jacket” is included in the product handled by the facility, and “Shopping” is included in the purpose of the facility, the point name is estimated. The unit 40 extracts the lexical word W3 “Outlet shop”, “Down jacket”, and “Shopping” from the action information 2021 shown in FIG.

  Subsequently, in step S308, the location name estimation unit 40 refers to the facility information 441 or 410, and the facility associated with the common attribute of the facility included in the behavior information 2021 is within a predetermined distance range from the stop point. It is judged whether it is included in the facility in. Then, the spot name estimation unit 40 identifies a facility having an attribute common to the facility attribute included in the behavior information 2021.

  Finally, in step S309, the spot name estimation unit 40 estimates the name of the facility specified in step S308 as the name of the stop point.

For example, in the facility information 441 or 410 in which the facility name and the facility attribute shown in FIG. 5 are associated with each other, for the “Granberry Mall” which is a facility within a predetermined distance from the stop point, the facility attribute It is assumed that a certain “outlet shop”, “down jacket”, and “shopping” are associated with each other.

The location name estimation unit 40 is a facility that has one or more of “Outlet Shop”, “Down Jacket”, and “Shopping” obtained by morphological analysis of the text information text of the behavior information 2021 shown in FIG. The “Granberry Mall” is estimated as the name of the stop. Of course, in the facility information 441 or 410, when the store name “XY” is associated with the handled product “down jacket”, the store name can be estimated as the stop point name.

The point name estimation unit 40 sends the estimated name and stop point information (information for specifying the stop point) to the name appendage unit 50.

Thereafter, the processing after step S104 in FIG. 6 is performed.

  Since the stop point management apparatus 100 of this embodiment is comprised as mentioned above and functions, there exist the following effects.

  In the present embodiment, the user's actual action is obtained by assigning a name to the stop point based on the stop time and stop point of the vehicle and the action information 2021 in which the action of the user is associated with the time information. And the name can be given to the stop point based on the memory. For this reason, the user can intuitively recognize (understand) the information of the automatically registered stop point.

  In other words, even if the stop point is automatically registered, the user intuitively recognizes the stop point from the registered stop point name, such as the location of the stop point, access, and the contents of the facility. (I can understand.

  In addition, in this embodiment, in order to infer the name of the stop point from the content of the action information 2021 such as a web log or an e-mail describing the matters related to the action of the time, date, and period corresponding to the stop time of the vehicle, Can be estimated with high accuracy, and the name thus estimated effectively functions as a keyword for the user to call the memory of the point.

For example, when the stop point is stored together with the latitude and longitude information when the engine is off, and the name of the stop point is registered as “near 3-7 Tsuruma, Machida-shi, Tokyo”, the user stores the address of the stop point. If not, the user cannot intuitively recognize where it is registered. On the other hand, since the stop point management apparatus 100 of this embodiment estimates the name of a stop point using the action information 2021 where the user's own action was recorded, it stops the name which a user can understand intuitively. It can be recorded with a point attached. That is, the user who has seen the recorded name can intuitively remember the location, access, and facility contents of the point.

  Furthermore, referring to the facility dictionary 41 that defines words related to the facility name, a name or abbreviation representing a predefined facility is extracted from the behavior information 2021 including time information corresponding to the stop time, and the name or abbreviation is supported. Since the facility name is estimated as the name of the stop point, the name of the stop point can be estimated with high accuracy.

  In this way, by preparing the facility dictionary 41 in advance, a name can be given to the stop point based on the specific name of the facility actually performed by the user.

That is, when multiple companies and stores, such as tenant buildings and complex commercial facilities, are registered at one point, if the name is given only from the location information of the point, the name of the tenant building and the name of the complex commercial facility It will be the name of the stop point. However, if the intended location that the user actually went to is a specific company or store in the general facility, the name of the general facility is known even if the name of the target company or store is remembered. It may not be. In such a case, even if the name of the tenant building or the name of the complex commercial facility is registered as the name of the stop point, it is highly likely that the user cannot recognize the point. On the other hand, since the stop point management apparatus 100 of this embodiment estimates the name of a stop point using the facility dictionary 41 prepared beforehand and the action information 2021 in which the user's own action was recorded, the user himself The name of the facility made by can be recorded as a stop point. That is, the user who has seen the recorded name can intuitively recall the location, access, and contents of the facility from the user's own memory.

In addition, referring to the action dictionary 42 that defines words related to actions that stop at a certain place, a phrase related to actions that stop at a place is extracted from action information 2021 that includes time information corresponding to the stop time, and the extracted phrases are modified. Therefore, since the facility name corresponding to the name or abbreviation is estimated as the name of the stopping point, the name of the stopping point can be estimated with high accuracy.

Even if the name of the facility is described in the behavior information 2021, the user does not always go to the facility. For example, in the example of the behavior information 2021 shown in FIG. 8, the names of two facilities “Granberry” and “La Fett” are included. If the name of the user's stop point is determined based only on the name of the facility, it will be determined as a stop point, but the action information 2021 of FIG. 8 says “I thought about La Fett, but stop it”. As such, the user does not actually go to “La Fett”. On the other hand, as the action information 2021 in FIG. 8 indicates “Going out to Granbury”, the user actually visits “La Fett”. In the present embodiment, the text document of the behavior information 2021 is parsed and a word having a dependency relationship with a word related to the behavior that stops at a certain place is used as the name of the stop point. Therefore, the name of the facility that does not actually stop is It can be prevented that the name of the stop point is mistakenly estimated.

Furthermore, in the present embodiment, the time information corresponding to the stop time is selected by selecting a facility whose distance from the stop point is less than a predetermined value based on the facility information 441 or 410 in which the position information and the name of the facility are associated with each other. If the name of the selected facility is included in the action information 2021 including, the selected facility is estimated as the name of the stop point. Thereby, even when there are a plurality of facilities in the vicinity of the stop point, the name of the facility actually performed by the user is referred to by referring to the record information 2021 in which the actual action of the user is recorded. Can be guessed.

  Further, when an error occurs in the GPS system 201 of the navigation device 1000 when searching for the name of the stop point from only the position information, and the detected position information has a deviation, the facility at the stop point is identified as a neighboring facility. May be judged as a facility. On the other hand, since the stop point management apparatus 100 of this embodiment refers to the record information 2021 in which the actual behavior of the user is recorded, the name of the facility actually performed by the user can be estimated.

  Furthermore, not only when there is an error in the GPS system 201, but also when the facilities are close to each other, when the site of the facility is intricately complicated, when using the parking lot of a nearby facility, The name of the stop point can be estimated with high accuracy without misjudging the facility at the stop point as another facility.

In addition, in the present embodiment, referring to the facility information 441 or 410 in which the facility attribute and the facility name are associated with each other, the lexical representing the facility attribute from the behavior information 2021 including the time information corresponding to the stop time And the facility name corresponding to the extracted lexical phrase is estimated as the name of the stop point. For this reason, the name of the facility where the user has stopped, that is, the name of the stop point can be estimated from the attribute of the facility described in the behavior information 2021.

In addition, in the action information 2021 such as a web log or an e-mail, the user is likely to describe the content of the action “what was done”. That is, in the behavior information 2021, in order to express information such as “where to” and “what to do” and “what to buy”, the type of facility, the service provided by the facility, and the facility sell. It is likely to describe the purpose of using the product or facility. These can be associated in advance with facility names and facility IDs as facility attributes.

Thus, the name of the stop point can be estimated with high accuracy by judging the facility where the user actually visited based on the facility information 441 or 410 that associates the name of the facility with the attribute of the facility and the behavior information 2021. can do.

  In addition, even if the behavior information 2021 includes only “what to do” and “what to buy”, and the information “where” is not described, the stopping point based on the attribute of the facility Can be guessed. That is, even if the behavior information 2021 does not include a unique name indicating a facility, it is possible to give a name to the stop point.

  In particular, if a facility within a predetermined distance from the stop point can be identified, the name of the stop point is highly accurate by comparing the attribute of the identified facility with the attribute of the facility described in the behavior information 2021. Can be guessed.

  Each embodiment described above is described in order to facilitate understanding of the present invention, and is not described in order to limit the present invention. Therefore, each element disclosed in the above embodiment is intended to include all design changes and equivalents belonging to the technical scope of the present invention.

  That is, in the present specification, as one aspect of the stop point management device according to the present invention, the stop “stop information acquisition unit 20 as an example of information acquisition unit, and the behavior information acquisition unit 30 as an example of behavior information acquisition unit, Although the stop point management apparatus 100 provided with the spot name estimation part 40 as an example of a spot name estimation means and the name addition part 50 as an example of a name addition means is demonstrated, this invention is not limited to this. Absent.

It is a figure which shows the structural example of the stop point management system 10000. FIG. It is a figure which shows an example of a block configuration of the vehicle-mounted navigation apparatus 1000 containing the stop point management apparatus 100 which concerns on this embodiment, an example of a block configuration of the information provision server 2000, and an example of a block configuration of the personal computer 3000. It is a figure which shows an example of the facility dictionary. It is a figure which shows an example of the action dictionary. It is a figure which shows an example of the facility information 441 or 410. FIG. It is a flowchart figure for demonstrating the operation control procedure of the stop point management apparatus. It is a flowchart for demonstrating the estimation process of a spot name. It is a figure which shows an example of the selected action information 2021. It is a flowchart for demonstrating the other example of a guess process of a point name. It is a figure which shows the periphery of the stop point X where a user's vehicle stopped. It is a figure for demonstrating the process which judges the name of the facility around the stop point X where a user's vehicle stopped.

Explanation of symbols

10000 ... Stop point management system 1000 ... Navigation device 100 ... Stop point management device 10 ... Communication unit 20 ... Stop information acquisition unit 21 ... Stop information storage function 30 ... Behavior information acquisition unit 40 ... Point name estimation unit 41 ... Facility dictionary 42 ... Action dictionary 43 ... Syntax analysis function 44 ... Facility information reference function 441 ... Facility information 50 ... Name addition unit 60 ... Output unit 200 ... Current position detection device 300 ... Storage device 400 ... Map information 500 ... Route search unit 4000 ... Vehicle controller 5000 ... I / O devices

Claims (10)

A stop point management device mounted on a vehicle,
Stop information acquisition means for acquiring the stop time and stop point at which the vehicle stops,
Action information acquisition means for acquiring action information relating to user behavior, including time information;
Based on the stop time of the vehicle and the behavior information, point name estimation means for estimating the name of the stop point;
A stop point management device comprising: name attaching means for attaching the estimated name to the stop point. In the stop point management device according to claim 1,
The location name inference means refers to a facility dictionary that defines a word related to a facility name, extracts a word related to the facility name from behavior information including time information corresponding to the stop time, and a facility name related to the extracted word Is a name of the stop point. In the stop point management device according to claim 1 or 2,
The point name inference means refers to an action dictionary that defines a word related to an action that stops at a place, extracts a phrase related to an action that stops at the place from action information including time information corresponding to the stop time, and the extraction A stop point management device that estimates a word having a dependency relationship with a set phrase as a name of the stop point. In the stop point management device according to any one of claims 1 to 3,
The location name estimation means refers to the facility information in which the location information of the facility is associated with the name of the facility, selects a facility whose distance from the stop point is less than a predetermined value, and corresponds to the stop time A stopping point management device that extracts the name of the selected facility from behavior information including information, and estimates the extracted name as the name of the stopping point. In the stop point management device according to claim 4,
The location name estimation means further refers to facility information in which facility attributes and facility names are associated with each other, and extracts the facility attributes from behavior information including time information corresponding to the stop time, A stopping point management apparatus that estimates a facility name associated with the extracted attribute as the name of the stopping point. In the stopping point management apparatus according to claim 5,
The facility attribute is a stop management device that is at least one of a facility type, a service provided by the facility, a product sold by the facility, or a purpose of using the facility. In the stop point management device according to any one of claims 1 to 6,
The user's behavior information is a stop management device that is web log information describing the behavior of the user. In the stop point management device according to any one of claims 1 to 6,
The user's action information is a stop management device that is e-mail information describing the action of the user. Obtain the stop time and stop point at which the vehicle stopped,
Inferring the name of the stop point based on the stop time and the action information in which the user's action is associated with the time information,
A stop point management method for managing the estimated stop point. A stopping point management system comprising a stopping point management device mounted on a vehicle and an information providing device capable of exchanging information with the stopping point management device,
The information providing apparatus includes recording means for recording behavior information related to the user's behavior in association with time information,
The stop point management device is:
Stop information acquisition means for acquiring the stop time and stop point at which the vehicle stops,
Action information acquisition means for acquiring action information from the information providing apparatus side;
Based on the stop time of the vehicle and the behavior information, point name estimation means for estimating the name of the stop point;
A stop point management system comprising: name attaching means for attaching the estimated name to the stop point.

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