JP2009054042A - Cooking method extractor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a technology proposing a plurality of cooking methods, and selecting the optimum cooking method therefrom. <P>SOLUTION: This cooking method extractor selects the desired cooking method based on recipe information after analyzed, by inputting the recipe information after analyzed out of recipes described by a natural language, and is provided with a cooking equipment database 34 registered with information including a kind of cooking equipment, a cooking function thereof and a cooking appliance usable in the cooking equipment, a user profile database 36 registered with information including the number of cooking equipment possessed by a user, and the using frequency thereof, and a cooking method extracting part 32 for extracting the plurality of cooking methods usable in the user, referring to the pieces of information registered in the cooking equipment database and the user profile database, based on the recipe information. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a cooking method extraction apparatus.

  In response to a request from the user terminal, an information provider server that includes a recipe database including a plurality of recipe information and is connected to a user terminal via a predetermined communication network so as to be able to transmit and receive data. A cooking information system configured to transmit predetermined cooking recipe information therein to the user terminal has been proposed (see Japanese Patent Application Laid-Open No. 2002-290955).

  In such a technique, in a home appliance cooking appliance that is a user terminal connected to a network, the cooking appliance is set using a control code given in advance to a recipe. Also in the cooking information system described in Patent Document 1, the control code is transmitted to the cooking device in the cooking procedure for operating the cooking information system cooking device.

However, in the technique described in Patent Document 1, first, a control code must be embedded in each piece of recipe information. Furthermore, a newly developed cooking appliance or the like may not be able to cope with changes in the system and programs because the control code may be different.
JP 2002-290955 A

  An object of the present invention is to propose a plurality of cooking methods and to provide a technique for selecting an optimum cooking method from among them.

  A cooking method extraction apparatus according to an aspect of the present invention inputs a recipe information after analysis from recipes described in a natural language, and selects a desired cooking method based on the analyzed recipe information. It is an extraction device, a cooking appliance database in which information including types of cooking appliances, cooking functions thereof, and cooking appliances usable in the cooking appliances is registered, and the number of cooking appliances owned by the user and the frequency of use thereof. Cooking that extracts a plurality of cooking methods available to the user with reference to information registered in the cooking equipment database and the user profile database, based on the user profile database in which information is registered and the recipe information And a method extraction unit. The present invention is not limited to an apparatus, and can be realized as an invention of a method and a program realized by the apparatus.

  According to the present invention, an optimal cooking method can be selected.

  Embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing a schematic configuration of a cooking system including a cooking method extraction device according to an embodiment of the present invention.

  The cooking system shown in FIG. 1 includes a natural language analysis device 10, a cooking recipe extraction device 20, a cooking method extraction device 30, a scheduler 40, and a server 45, and an information terminal 60 and a cooking device via a network 50. 65 is connected. The cooking system further includes a recipe database (recipe DB) 12 in which recipes written in a natural language are described, and a cooking equipment control code database (cooking equipment control code DB) in which codes for controlling the cooking equipment are stored. 16. The cooking method extraction device 30 includes a cooking method extraction unit 32, a cooking equipment database (cooking equipment DB) 34, and a user profile database (user profile DB) 36. The configurations of the cooking appliance DB 34 and the user profile DB 36 will be described later.

  In the above configuration, the recipe 14 described in the natural language stored in the recipe DB 12 is sent to the natural language analyzing apparatus 10 and the server 45. The natural language analyzer 10 analyzes the cooking recipe. Here, it is assumed that the “recipe” is a sentence described in a natural language as described above. The natural language analyzing apparatus 10 converts the cooking recipe described in the natural language into a predetermined format. Note that the analysis by the natural language analysis apparatus 10 can be performed by a conventionally used one, and a detailed description thereof will be omitted. FIG. 2 is a diagram illustrating an analysis example of the natural language analysis apparatus 10.

For example, when the cooking recipe of “fried tofu vegetable sauce” is described as shown in FIG. 2 (a), the natural language analysis apparatus 10 generates an analysis result as shown in FIG. 2 (b). can get. As shown in FIG. 2, sentences described in a natural language are subjected to morphological analysis, and their dependency relationships are shown. For example, in FIG. 2, the expression “drained tofu” is broken down into two expressions “drained tofu” and “tofu”. Then, the expression “drained” is broken down into the noun “drained” and the auxiliary verbs “shi” and “ta”. Also, the expression “tofu” is broken down into the noun “tofu” and the particle “o”. Thus, the recipes described in the natural language are each decomposed into language elements, and the cooking procedure in the recipe is analyzed. The analysis result is output to the cooking recipe extraction device 20, the cooking recipe is extracted by the cooking recipe extraction device 20, and the cooking recipe metadata is output from the cooking recipe extraction device 20.
As shown in the flowchart of FIG. 3, the cooking recipe extraction apparatus 20 includes a procedure data extraction unit 21, a development data processing unit 22, and a cooking recipe metadata generation unit 23. And a cooking equipment database. FIG. 3 is a flowchart showing a specific operation example of the cooking recipe extraction apparatus 20. First, before explaining the flowchart, a simple explanation of each part of the cooking recipe extracting device 20 will be given.

The procedure data extraction unit 21 extracts a cooking procedure from the results of morphological analysis and dependency analysis processing performed by the natural language analyzer.
The development data processing unit 22 refers to a cooking procedure development database (details will be described later with reference to FIG. 4), develops the procedure into a plurality of procedures, and deletes duplicate procedures. A specific example of the cooking procedure development database will be described later.
The cooking recipe metadata generation unit 23 refers to the cooking equipment database and outputs the cooking procedure in the metadata format. The cooking equipment database is a list of cooking utensils such as pots and pans provided in homes and kitchens where the cooking recipe extraction device 20 is introduced, or cooking equipment such as IH cooking heaters and gas stoves. The cooking equipment that can be used is registered. In this specification, utensils used for normal cooking such as pots, pans, kitchen knives, and cutting boards are referred to as “cooking utensils”, and IH cooking heaters, gas stoves, microwave ovens, and other devices are referred to as “cooking utensils”. Called.

The operation of the cooking recipe extraction apparatus 20 configured as described above will be described with reference to FIG.
First, based on the analysis result obtained by the natural language analysis of the cooking recipe as described above with reference to FIG. 2, the procedure data extraction unit 21 refers to data indicating the cooking procedure (hereinafter referred to as “procedure data”). Further, the cooking procedure is simply referred to as “procedure” (step A1). Here, the cooking procedure that the procedure data extraction unit 21 analyzes and extracts the cooking recipe includes, for example, a subject, a predicate, and an object that indicate the cooking work procedure. The extracted procedure data is output to the development data processing unit 22, and the procedure is developed into a plurality of procedures or a duplicate procedure is deleted with reference to the cooking procedure development database.

  First, the development data processing unit 22 determines whether or not the procedure can be developed with reference to the cooking procedure development database (step A2). If the procedure cannot be expanded (NO in step A2), the process proceeds to step A4. In step A2, if the procedure can be expanded (YES in step A2), the procedure is expanded with reference to the cooking procedure expansion database (step A3). This cooking procedure development database is preferably given in a table format or ontology format. For example, FIG. 4 shows an example of expanded data given in an ontology format. FIG. 4 is a diagram illustrating an example of development data in an ontology format.

  In the ontology format development data example of FIG. 4, each cooking procedure and cooking equipment are given in a hierarchical structure such as a hierarchical format. In this development data example, “cut” and “heating” are defined from “procedure”, and procedures for “cut” and “heating” are defined, respectively. In addition, “boil” and “fry” are defined from “heating”, and the procedure is defined similarly. Further, in the present development data example, the procedure “Fry” is associated with the cooking device “IH cooking heater”, and detailed functions and the like for the “IH cooking heater” are defined. In addition, the expansion | deployment data as shown in FIG. 4 are prepared previously, and are updated suitably by addition of a cooking appliance etc. FIG.

  For example, when fried food, after the procedure that “a person sets the knob at 170 ° C.”, after confirming that the temperature of the oil has risen sufficiently, put the tofu in a pan and add “IH cooking heater It is necessary to execute the "Fry for 5 minutes 30 seconds" procedure. However, it is common knowledge to wait until the temperature of the oil rises and to put the ingredients to be cooked in the pan, so it is not clearly stated in the cooking recipe. Therefore, the necessary procedure is supplemented by referring to the development data for the “fried” procedure.

  If the procedure is expanded as described above, it is next determined whether there is a duplicate procedure (step A4). If there is no duplicate procedure, the process proceeds to step A6. In step A4, if there is a duplicate procedure, a process for deleting the duplicate procedure is executed (step A5). Then, it is determined whether there is a continuation of the procedure (step A6). If there is no unnecessary procedure, the process proceeds to step A8. If there is an unnecessary procedure duplication in step A6, a process of deleting the duplicate procedure is executed (step A7).

  When the unnecessary procedure is deleted in step A7, it is determined whether the resource can be expanded (step A8). If the resource cannot be expanded, the process proceeds to step A10. If the resource can be expanded, the resource is expanded (step A9). This resource expansion is to expand the subject, predicate, and object of the procedure according to the contents of the procedure to supplement the resources (people, cooking utensils, cooking equipment, ingredients) necessary to execute the procedure. Is what you do.

  As described above, when the resource development is completed, the cooking recipe metadata generation unit 23 refers to the cooking equipment database, generates cooking recipe metadata, and generates data that enables actual cooking according to the procedure. It outputs to the cooking method extraction apparatus 30 (step A10).

  The cooking method extraction unit 32 of the cooking method extraction device 30 inputs the output from the cooking recipe extraction device 20, executes a predetermined process, proposes a plurality of cooking methods, and the optimum cooking method from among them is proposed. Select. In the present specification, the “cooking method” basically means a combination of a cooking device, a cooking function, and a cooking utensil in a certain cooking process. Then, the cooking method extraction unit 32 of the cooking method extraction device 30 outputs the result to the scheduler 40. A specific processing flow of the cooking method extraction unit 32 of the cooking method extraction device 30 is shown in FIG. FIG. 5 is a flowchart illustrating a specific operation example of the cooking method extraction unit 32 of the cooking method extraction device 30. FIG. 6 is a diagram illustrating a processing example in the cooking method extraction unit 32 of the cooking method extraction device 30 along the processing flow illustrated in FIG. 5.

  First, a cooking process is acquired from the cooking recipe extraction apparatus 20 (step B1). Next, a list of cooking appliances is acquired from the cooking appliance DB 34 (step B2). In FIG. 7, the structural example of cooking appliance DB34 is shown. As shown in FIG. 7, for example, a cooking appliance, a cooking function, a cooking utensil, a cooking time, a degree of simplicity, an automatic execution degree, and power consumption are registered in the cooking appliance DB 34. Here, “cooking equipment” refers to IH cooking heaters, gas stoves, microwave ovens, and other equipment as described above, and “cooking utensils” are used for ordinary cooking such as pots, pans, kitchen knives, and cutting boards. Refers to an appliance. The “cooking function” is a function corresponding to a cooking appliance. For example, as shown in FIG. 4, the cooking function of the IH heater includes “fry”, “bake”, and the like. It can be seen as one cooking process. In the description of the present embodiment, it is assumed that the cooking function X is extracted by the natural language analyzer 10 as the cooking function. “Cooking time” is the time required to execute the cooking function X. "Easy degree" is a difficulty level for using a cooking appliance. The “automatic execution degree” is a guideline indicating how far the control code can be executed when the cooking function X is executed. “Power consumption” is power consumption required to execute the cooking function X.

   With reference to said data, the cooking method extraction part 32 performs the matching process of the cooking appliance which can perform a cooking process and the cooking function X (step B3). The cooking method extraction part 32 repeats a matching process, and produces | generates all the combinations of a cooking appliance, a cooking function, and a cooking appliance about all the cooking methods to match (step B3). This situation is shown in FIG.

  Fig.6 (a) has shown the example from which the cooking appliance, the cooking function, and the cooking utensil are extracted among cooking appliance DB34 of FIG. Here, instead of simply selecting only the cooking function X, the cooking function Y that can achieve the same purpose is selected from the purpose of implementing the cooking function X by the processing of step B3. From the combination of the cooking function X and the cooking function Y, it can be seen that cooking equipment A, cooking equipment B, and cooking equipment C are extracted as cooking equipment, and a pan and a pan with a temperature sensor are extracted as cooking utensils. In addition, the combination which concerns on the cooking function Y in the cooking appliance B and the cooking appliance C will be disregarded here.

Consider the following case in the above matching process.
For example, in the cooking process of “boil”, the ingredients are boiled using the cooking function “boil”. ”, Each cooking device
Cooking equipment A: Although there is no “boil” function, it has a “heating” function.
Cooking equipment B: Although it has a “boil” function, it does not support pans with temperature sensors.
Cooking equipment C: has a “simmering” function and is compatible with pans with temperature sensors.
It shall be cooking equipment. In this case, the cooking apparatus B and the cooking apparatus C having the “boil” function can execute the “boil” function. However, when using the cooking appliance A that does not have the “boil” function, it cannot be executed as instructed. However, as shown in FIG. 4, “heating” can be performed as an alternative method of the “boil” function. Therefore, the cooking appliance A can also be extracted as a cooking appliance for executing the “boil” function. In addition, in the cooking appliance C corresponding to the pan with a temperature sensor, it is preferable to use a pan with a temperature sensor.

As described above, in selecting a cooking appliance, there are restrictions on cooking utensils in addition to cooking appliances, and a one-to-one matching is not necessarily performed. For example, in the above case, when using the function of the pan with the temperature sensor, there is a restriction that the pan with the temperature sensor must be used,

It becomes. In order to perform such matching with restrictions, it is necessary to prepare rule information as shown in FIG. 4, for example, indicating matching of cooking equipment, cooking functions, and cooking utensils.

The process of step B3 will be described more specifically.
In the natural language analysis apparatus 10 of FIG. 1, “use cooking function X ...” as an example of input data.
Is shown. Receiving this, the cooking method extraction part 32 performs a matching process as follows.

  First, simply “cooking function X” specified in the input data is one of the answers. In the simple matching process, only “cooking function X” is the answer, but in the repetition process of step B3 in FIG. 5, another alternative that can serve the same purpose as “cooking function X” is possible. Find cooking function.

  For example, when “cooking function Y” that can serve the same purpose as “cooking function X” is discovered, “cooking function X and cooking function Y” is the final answer. The presence or absence of a function that can be substituted may be acquired with reference to the cooking appliance DB.

When the cooking function is specifically considered as follows, it can be understood that the “cooking function Y” can be used instead of the explicitly described “cooking function X”.

  The instruction “use cooking function X” is not an instruction that “must use cooking function X”, but an instruction “intended to“ warm food ””. Look for alternative features.

  Next, a list of cooking appliances and utensils owned by the user is acquired from the user profile DB 36 (step B4). 8 and 9 show a configuration example of the user profile DB 36. FIG. FIG. 8 is an example of a database in which the types and number of cooking appliances and utensils owned by the user are registered, and FIG. 9 is an example of a database in which user profiles, that is, user family or personal data are registered. It is. 9A is an example of family data, FIG. 9B is an example of personal data, and is mainly referred to when a cooking procedure is presented by the cooking recipe extraction device 20. The In this embodiment, as family data, for example, in the case of a family of four, when a husband cooks, considering that the cooking proficiency is a “novice” who is a user unfamiliar with cooking, For example, it is preferable to select a combination of a cooking appliance and a cooking utensil that has a high “simpleness” and a high “automatic execution”.

  Hereinafter, in order to avoid complexity, selection of a cooking method when the user's family and personal data are not used will be described. As shown in FIG. 8, the user profile DB 36 registers the types and number of cooking appliances and utensils owned by the user. For example, as shown in FIG. The number is registered, or as shown in FIG. 8B, the use frequency and the last use date and time for a combination of cooking appliances, cooking functions, and cooking utensils (that is, cooking methods) are registered.

  With reference to data as shown in FIG. 8, all the cooking methods which a user can perform are shown (step B5). This state is shown in FIG. For example, in the data shown in FIG. 8A, since the user does not own the cooking appliance C, only the cooking appliance A and the cooking appliance B are combined with the cooking appliance, the cooking function, and the cooking utensil (that is, cooking). Method). In addition, since the pot and the pan with a temperature sensor are owned as a cooking utensil, the combination is also presented. In this case, since there is not necessarily one cooking method, a plurality of cooking methods are basically presented.

Here, for example, a process of “fermenting bread dough” is considered.
Ferment using the “Range Fermentation” function in the recipe instructions. In the cooking appliance having the “range fermentation” function, the “range fermentation” function can be executed. However, if the range owned by the user does not have the “range fermentation” function, or if the range is not owned in the first place, it cannot be executed as instructed. Therefore, it is registered in the rule information of FIG. 4 that it can be carried out by another cooking device (for example, “oven fermentation” of an oven) as an alternative method of the “range fermentation” function.

  Also, when making multiple recipes at the same time, even if the range is frequently used in other recipes, similar cooking is possible by using an oven instead of the range written in the recipe. I understand.

And a score is calculated with respect to each cooking method from appliance information and a user profile (step B6). Here, an algorithm for calculating the score will be described.
The score S is obtained by the following equation (1), for example.
S = ΣG _i X _i (1)
Where G _i : weighting factor for element i
X _i : score of element i
In formula (1), the elements are, for example, a guideline for selecting the cooking method. In FIG. 7, the cooking time, the simplicity, the automatic execution degree, and the power consumption are adopted as parameters. I can do it. The weight coefficient represents the weight for each parameter. For example, for the parameters shown in FIG. 7, the skilled person and the beginner change the weight coefficient as follows.
Expert: Increase the weighting factor for cooking time and power consumption.
Beginner: Increase the weighting factor for simplicity and automatic execution.
By doing in this way, the cooking method which considered the skill level of the cook etc. can be selected.

  Based on the score calculated as described above, priority is given to the cooking method (step B7). An example in which priorities are assigned to cooking methods and arranged in order is shown in FIG. In the example of FIG. 6C, not the case of using the formula (1), but in the combination of the cooking appliance, the cooking function, and the cooking utensil, first, the cooking function Y that is a higher function of the cooking function X is provided. Sort the combination of cooking appliances with the first priority, then sort the pans with the highest number of pans with the second priority, and set the cooking appliances with high frequency of use as the third priority. Rearranged. In this way, when rearrangement is performed by assigning priorities, the priorities may be determined by an algorithm using Expression (1), or the elements may be rearranged in order from the element having the highest priority.

  Here, the target item in the case where priority is provided to the cooking method to be presented will be briefly described. It is possible to propose a cooking method that can respond precisely to this target item, depending on which item is prioritized and how these items are weighted. Become. Hereinafter, each item will be described.

  (1) Cooking function (see FIG. 7): A function achieved by a predetermined cooking appliance and cooking utensil. For example, the higher the function that can be achieved, the higher the function when a new function is added. Basically, the higher the function, the higher the priority.

  (2) Cooking time (see FIG. 7): The cooking time for a combination of a predetermined cooking device, a cooking function, and a cooking utensil in one cooking process is shown. By setting a high priority for a combination of a cooking device, a cooking function, and a cooking utensil with a shorter cooking time, the time for each cooking process can be shortened. In addition, unlike beginners, beginners often need to work with more time than shortening time, so the combination of cooking equipment with long cooking time, cooking functions, and cooking utensils It is preferable to set the priority high.

  (3) Simplicity (see FIG. 7): Expresses the ease of operation of cooking appliances and cooking utensils by numerical values. For example, priority is given to combinations of cooking appliances, cooking functions, and cooking utensils that can be made easier. Set the degree higher.

  (4) Automatic execution degree (see FIG. 7): A numerical value indicating how much the operation of the cooking appliance or the cooking utensil can be executed by the control code. It is preferable to set a higher priority for a combination of a cooking device, a cooking function, and a cooking utensil that can be executed more automatically. Especially for beginners, it is preferable to set a high priority for those having large numerical values.

(5) Power consumption (refer FIG. 7): It is a numerical value which shows the power consumption with respect to the combination of a cooking appliance, a cooking function, and a cooking utensil. For example, for an energy-saving user, a higher priority is set for a combination of a cooking appliance, a cooking function, and a cooking utensil with the least power consumption. (6) Number of cooking utensils / cooking utensils (FIG. 8 (a ) Reference): Indicates the number of cooking appliances and utensils owned by the user. For example, a higher priority is set for cooking appliances and cooking utensils with more possessions so that cooking utensils and cooking utensils do not overlap during cooking.

(7) Frequency of use (see FIG. 8B): A numerical value indicating the frequency of use of the user for a combination of a predetermined cooking appliance, cooking function, and cooking utensil. Basically, since the user is familiar, a higher priority is set for a combination of a cooking device, a cooking function, and a cooking appliance that are used more frequently.
However, when a new cooking appliance or cooking utensil is purchased, the frequency of use may be zero or a fairly low value. In this case, when it is desired to recommend the use of a new cooking appliance or cooking utensil, it is preferable to set a higher priority for a combination of a cooking appliance, a cooking function, and a cooking utensil that are used less frequently.

(8) Date and time of last use (see FIG. 8B): The date and time when the cooking appliance or utensil was finally used. The cooking appliance has a function of simultaneously using a plurality of functions for reasons of total power consumption and safety, and a function that restricts continuous use without taking time.
In the scheduler, scheduling is performed in consideration of the restrictions related to the use. Therefore, the priority is set in consideration of the last use date and time so as not to affect the scheduler. In this case, the priority is lowered as the last use date is more recent. Thereby, the use restrictions by a cooking appliance can be avoided.

  Other than the above, for example, (1) a higher priority is set for a combination of a general cooking appliance, a cooking function, and a cooking utensil, or (2) a cooking appliance and a cooking function that are most suitable for an instruction of a cooking recipe The priority with respect to the combination with a cooking utensil can be set high.

  As described above, when priorities are assigned to a plurality of cooking methods, the plurality of cooking methods to which the priorities are assigned are output to the scheduler 40. The scheduler cooks each cooking method (scheduling for the cooking method with the highest priority and the cooking method from the highest priority to the highest cooking order (for example, the fifth cooking method)). Scheduling related to equipment and cooking utensils is performed, and the result is output to the server 45.

  In addition to inputting the cooking method scheduled from the scheduler 40, the server 45 controls the recipe 14 related to the cooking method from the recipe database 12 and the cooking appliance used in the cooking method from the cooking appliance control code database 16. And a cooking appliance control code 18 for input. And the server 45 transmits these cooking methods, the recipe 14, and the cooking appliance control code 18 to the information terminal 60 and the cooking appliance 65 via the network 50. In this case, the normal information terminal 60 and the cooking device 65 are installed in the home.

  The information terminal 60 displays and outputs the received cooking method, recipe information, and the like, and the cooking device 65 is controlled based on the cooking method and the cooking device control code 18. Note that the information terminal 60 selects a desired cooking method from among the plurality of transmitted cooking methods, and manages the progress of the selected cooking method. Since the other functions of the information terminal 60 and the cooking device 65 are the same as known functions, detailed description thereof is omitted. In addition, in said embodiment, although the cooking method extraction apparatus 30 was installed in the front | former stage of the scheduler 40, you may arrange | position not only to this but in front of the information terminal 60 and the cooking appliance 65. FIG.

  As described above, the cooking method extraction apparatus of the present invention refers to the cooking appliance DB 34 and the user profile DB 36, considers alternative means in addition to the cooking method indicated by the recipe, and performs all cooking that can be performed by the user. Present the method. Further, scores are calculated for these cooking methods, and priorities are given to the cooking methods.

As a simple process flow,
(1) The recipe information is extracted using a natural language analysis technique, and the cooking process indicated by the recipe is analyzed and extracted.
(2) Propose a plurality of cooking methods that can perform the same cooking in different combinations of cooking appliances other than the recipe instructing the cooking process instructed by the recipe.
(3) Prioritize cooking methods and select the most suitable cooking method according to the schedule.
In order to realize a series of processing flows, a device for selecting a cooking method (that is, a cooking method extraction device according to an embodiment of the present invention) is required in addition to an existing device for natural language analysis. is there.

  The cooking method extraction device 30 performs a matching process between a cooking process obtained as a result of natural language processing and a specific cooking appliance to be used. For all the cooking equipment sold, refer to the cooking equipment DB 34 that covers the model number and the installed functions, and the user profile DB 36 in which the cooking equipment owned by the user is registered in advance. Consider alternatives and present all cooking methods that the user can perform. Here, priority is provided in the presented cooking method. In the scheduler 40, rescheduling is executed every time the cooking process is completed. At that time, a cooking method that uses a cooking appliance that is not in use is selected from the higher priority.

The items to be considered in the case of giving this priority are as follows.
1. Cooking function
2. Number of cookware owned
3. Impact on the scheduler
4). frequency of use
5). Working time (cooking time)
7). Simplicity
8). Automatic execution degree
9. Whether the combination of cooking equipment, cooking functions and utensils is more common
10. Power consumption
11. Degree of agreement with cooking recipe instructions
Is given. The items are not limited to those shown above. For example, the skill level of cooking may be taken into consideration in order to give priority as an item.

  As described above, according to the present invention, an optimum cooking method can be selected. Furthermore, in the present invention, when a cooking method is extracted from the text of a recipe using a natural language analysis technique, a score is calculated from cooking equipment and cooking utensil information and a user profile, and a priority is given to the cooking method. Therefore, the extraction accuracy of information necessary for mechanically controlling the cooking appliance is improved as compared with the conventional cooking method extraction device.

  Note that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of components disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

It is a figure which shows schematic structure of the cooking system containing the cooking method extraction apparatus which concerns on one Embodiment of this invention. 2 is a diagram illustrating an analysis example of a natural language analysis apparatus 10. FIG. It is a flowchart which shows the specific operation example of the cooking recipe extraction apparatus 20. FIG. It is a figure which shows the example of expansion | deployment data of ontology form. 5 is a flowchart illustrating a specific operation example of a cooking method extraction unit 32 of the cooking method extraction device 30. It is a figure which shows the process example in the cooking method extraction part 32 of the cooking method extraction apparatus 30 along the flow of the process shown in FIG. It is a figure which shows the structural example of cooking appliance DB34. It is an example of a database in which the types and number of cooking appliances and cooking utensils owned by a user are registered. It is an example of a database in which a user profile, that is, a user's family or personal data is registered.

Explanation of symbols

10 ... Natural language analyzer 12 ... Recipe database (recipe DB)
14 ... Recipe 16 ... Cooking equipment control code database (Cooking equipment control code DB)
DESCRIPTION OF SYMBOLS 18 ... Cooking equipment control code 20 ... Cooking recipe extraction apparatus 21 ... Procedure data extraction part 22 ... Development data processing part 23 ... Cooking recipe metadata generation part 30 ... Cooking method extraction apparatus 32 ... Cooking method extraction part 34 ... Cooking equipment database ( Cooking equipment DB)
36 ... User profile database (user profile DB)
40 ... Scheduler 45 ... Server 50 ... Network 60 ... Information terminal 65 ... Cooking equipment

Claims (12)

In the cooking method extraction apparatus for inputting the recipe information after analysis among the recipes described in a natural language, and extracting a desired cooking method based on the recipe information after analysis,
A cooking appliance database in which information including types of cooking appliances, cooking functions thereof, and cooking utensils usable in the cooking appliances are registered;
A user profile database in which information including the number of cooking appliances owned by the user and the frequency of use thereof is registered;
A cooking method extraction unit that extracts a plurality of cooking methods available to the user with reference to the information registered in the cooking equipment database and the user profile database based on the recipe information. Cooking method extraction device . The cooking method extraction apparatus according to claim 1, wherein the cooking method extraction unit assigns a priority to the plurality of cooking methods. The cooking method extraction apparatus according to claim 1, wherein the cooking method extraction unit sets a priority according to a cooking function. The cooking method extraction apparatus according to claim 1, wherein the cooking method extraction unit sets a priority according to the number of possessed cooking utensils. The cooking method extraction apparatus according to claim 1, wherein the cooking method extraction unit sets a high priority for cooking appliances and cooking utensils that do not affect the scheduler. The said cooking method extraction part sets a priority according to the usage frequency in the combination of a cooking appliance, a cooking function, and a cooking utensil, The cooking method extraction apparatus of Claim 1 characterized by the above-mentioned. The said cooking method extraction part sets a priority according to the cooking time in the combination of a cooking appliance, a cooking function, and a cooking utensil, The cooking method extraction apparatus of Claim 1 characterized by the above-mentioned. The cooking method extraction device according to claim 1, wherein the cooking method extraction unit sets a priority according to a degree of simplicity in a combination of a cooking appliance, a cooking function, and a cooking utensil. The said cooking method extraction part sets a priority according to the automatic execution degree in the combination of a cooking appliance, a cooking function, and a cooking utensil, The cooking method extraction apparatus of Claim 1 characterized by the above-mentioned. The cooking method extraction device according to claim 1, wherein the cooking method extraction unit sets a higher priority for a more general combination in a combination of a cooking appliance, a cooking function, and a cooking utensil. The said cooking method extraction part sets a priority according to the power consumption in the combination of a cooking appliance, a cooking function, and a cooking appliance, The cooking method extraction apparatus of Claim 1 characterized by the above-mentioned. The cooking method extraction unit is characterized in that, in a combination of a cooking appliance, a cooking function, and a cooking utensil, the priority for the combination of the cooking appliance, the cooking function, and the cooking utensil that most matches the instruction of the cooking recipe is set high. The cooking method extracting device according to claim 1.

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