JP2006146514A - Database retrieval system and method, program and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a database retrieval system and method and a program and a recording medium capable of selecting and executing an execution plan for making it possible to minimize the time required for data retrieval processing for inputted supply data or demand data in data retrieval processing. <P>SOLUTION: This data retrieval system is provided with an execution plan registering means for preliminarily registering the execution plan of data retrieval processing, a data analyzing means for analyzing inputted demand data and supply data, and for extracting variable information, a variable information registering means for registering the variable information extracted by the data analyzing means, a prediction function registering means for preliminarily registering prediction functions for predicting a processing time required by the execution plan based on the variable information, a prediction processing time calculating means for performing an arithmetic operation for predicting the processing time of the execution plan based on the prediction functions and an execution plan deciding means for selecting and deciding the execution plan corresponding to the arithmetic result from among the execution plans preliminarily registered in the execution plan registering means. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a database search system and method related to a search processing method for supply data such as goods / services / jobs and demand data such as goods / services / job types, etc. in barter exchange or part-time job brokerage systems, The present invention relates to a program and a recording medium.

  Services such as barter exchange and part-time brokerage that have been performed in the real world are being realized on the Internet. A system that performs these services on the Internet handles two types of data (supply data and demand data).

  For example, in the case of barter exchange, the supply data is information (data) relating to the provided article, and the demand data is a condition (query) relating to the requested article. Supply data consists of specifications and manufacturers related to TVs owned by a user, and demand data specifies portable music players that specify multiple manufacturers and specify the range of the year, and specify the production area and the weight range. Consists of grains and fruits.

  In the case of part-time brokerage, supply data of job seekers is data relating to history, and demand data is a query relating to desired wages, work places, and the like. Further, the supply data of the employer is data relating to employment such as wages, and the demand data is a query relating to recruitment.

  One or more of these two types of data are designated for each user.

  After the above two types of data are registered and stored by multiple users, when new supply data and demand data are input, the stored supply data is collated with the input demand data. Then, the stored demand data is matched with the input supply data.

  Here, the former matching is a database search process, which involves inputting a query into a data set and selecting matching data. The latter matching is a filtering process, in which a query is registered in advance, and then certain data is input to the query set and a matching query is selected.

  If the above-mentioned matching is a barter, the matching of the data related to the provided product and the query input by a user, and the matching of the query related to the stored requested article and the data input by the user It corresponds to.

  On the other hand, in the case of part-time brokerage, there are cases where a job seeker inputs and an employer inputs. When the job seeker inputs, it corresponds to the matching of the accumulated data regarding employment and the query regarding the desired conditions regarding the input wages, etc., and the matching of the accumulated query regarding jobs and the data regarding the input history.

  In addition, when the employer inputs, the history data of the job seeker that has been accumulated is matched with the query about the entered job offer, and the query about the desired wage and location of the job seeker that has been accumulated is matched with the data about the entered employment. Applicable.

  Regarding the above-described matching processing method (matching method), the following two methods are mentioned in the related art relating to a system for barter exchange (see Patent Document 1).

  The first method includes a step of “permuting input queries with stored data in a permutation” step, and “when matching data is found, a query corresponding to the data is regarded as an input query. , “Accessing stored data in a permutation” step.

In addition, as a second method, a step of “perform matching of input data with a stored query in a permutation” step and “when matching query is found, data corresponding to the query is input data. This is a matching method in which the stored query is accessed in a permutation step.
JP 2002-269385 A

  In the above-described database search system according to the prior art, although the data search process by the matching method using a combination of the database search process and the filter process is possible, the above-described process method is a permutation access. Processing time is required depending on the value of demand data.

  When random access is assumed instead of permutation access (see FIG. 6), the processing time can be reduced compared to the above-described permutation access. However, as shown in FIG. 6, a method of performing the filter processing after the database search processing and a method of performing the database search processing after the filter processing are assumed, but in conventional systems, these methods are fixed. Yes. For this reason, much processing time is required depending on the values of the input supply data and demand data.

  In other words, when the matching method is fixed to the “filter processing after database search processing” method, the input value in the figure is different in the processing amount compared to the “database search processing after filter processing” method. Processing time.

  The present invention has been made in view of the above problems, and the object of the present invention is to input supply data and demand data in data search processing that applies a matching method based on a combination of database search processing and filter processing. On the other hand, an object of the present invention is to provide a database search system and method, program, and recording medium capable of selecting and executing an execution plan that minimizes the time required for the data search process.

  In order to solve the problem, the present invention according to claim 1 is a database search system for executing a data search process according to the contents of demand data indicating demand for information and supply data indicating information to be supplied. An execution plan registration means for pre-registering an execution plan of the data search process, a data analysis means for analyzing input demand data or supply data and extracting variable information, and the data analysis means Variable information registration means for registering the extracted variable information; prediction function registration means for pre-registering a prediction function for predicting a processing time required for the execution plan based on the variable information; Prediction processing time calculation means for performing calculation for predicting the processing time of the execution plan based on the prediction function, and the result of the calculation The corresponding execution plan and an execution plan determination means for determining to select from among the pre-registered the execution plan in the execution plan registering means.

  Further, the present invention described in claim 2 is the method according to claim 1, wherein in each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit, the rules and / or Or, statistical items can be set or changed arbitrarily.

  According to a third aspect of the present invention, in any one of the first or second aspect, the prediction processing time calculation means calculates the prediction time when the variable information partially matches or is similar.

  In addition, according to a fourth aspect of the present invention, in any one of the first to third aspects, the data search process includes at least one of a database search process and a filter process.

  According to a fifth aspect of the present invention, there is provided a database search method for executing a data search process corresponding to the contents of demand data indicating demand for information and supply data indicating information to be supplied. Means for pre-registering an execution plan of the data search process by means; analyzing the input demand data or supply data by the data analysis means; extracting variable information; and A step of registering the extracted variable information by an analysis unit; a step of previously registering a prediction function for predicting a processing time required for the execution plan based on the variable information by a prediction function registration unit; The processing time calculation means predicts the processing time of the execution plan based on the prediction function. And a step of selecting and determining an execution plan according to the result of the calculation from the execution plans registered in advance in the execution plan registration unit by the execution plan determination unit. .

  Further, in the present invention described in claim 6, the rule applied in registration and / or each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit in claim 5, respectively. Or, statistical items can be set or changed arbitrarily.

  According to a seventh aspect of the present invention, in any one of the fifth or sixth aspects, the prediction processing time calculation means calculates the prediction time when the variable information partially matches or is similar.

  In addition, according to an eighth aspect of the present invention, in any one of the fifth to seventh aspects, the data search process includes at least one of a database search process and a filter process.

  According to a ninth aspect of the present invention, in the database search program for executing the data search process corresponding to the contents of the demand data indicating the demand for information and the supply data indicating the information to be supplied, execution plan registration Means for pre-registering an execution plan of the data search process by means; analyzing the input demand data or supply data by the data analysis means; extracting variable information; and A step of registering the extracted variable information by an analysis unit; a step of previously registering a prediction function for predicting a processing time required for the execution plan based on the variable information by a prediction function registration unit; Based on the prediction function, the processing time of the execution plan is calculated by the processing time calculation means. A step of performing an operation for prediction, and a step of selecting and determining an execution plan according to a result of the operation from the execution plans registered in advance in the execution plan registration unit by an execution plan determination unit. Have.

  Further, the present invention described in claim 10 is the method according to claim 9, wherein in each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit, a rule applied in registration and / or Or, statistical items can be set or changed arbitrarily.

  In addition, according to an eleventh aspect of the present invention, in any one of the ninth or tenth aspects, the prediction processing time calculation means also calculates the prediction time when the variable information partially matches or is similar.

  Moreover, the present invention described in claim 12 is any one of claims 9 to 11, wherein the data search process includes at least one of a database search process and a filter process.

  According to a thirteenth aspect of the present invention, there is provided a recording medium storing a database search program for executing data search processing corresponding to the contents of demand data indicating information demand and supply data indicating information to be supplied. The step of registering the execution plan of the data search process in advance by the execution plan registration means, the step of analyzing the input demand data or supply data by the data analysis means and extracting the variable information, and the variable information registration A step of registering the extracted variable information by the data analysis unit by means, and a prediction function for predicting a processing time required for the execution plan based on the variable information by a prediction function registration unit in advance And a processing time of the execution plan by a predicted processing time calculation means. A step of performing an operation for prediction based on the prediction function, and an execution plan determining unit selects an execution plan according to the result of the operation from the execution plans registered in advance in the execution plan registration unit. A database search program characterized by having a step of determining.

  Further, in the present invention described in claim 14, in claim 13, in each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit, rules applied in registration and / or Alternatively, a database search program characterized in that statistical items can be arbitrarily set or changed is recorded.

  Further, in the present invention described in claim 15, in any one of claims 13 and 14, the prediction processing time calculation means also calculates the prediction time when the variable information partially matches or is similar. Record a database search program characterized by

  Further, in the present invention described in claim 16, in any one of claims 13 to 15, the data search processing includes at least one of database search processing and filter processing. Record the featured database search program.

  According to the present invention, in a data search process that applies a matching method based on a combination of a database search process and a filter process, an execution plan that minimizes the time required for the data search process for input supply data and demand data is provided. It is possible to provide a database search system and method, a program, and a recording medium that can be selected and executed.

  FIG. 1 is a block diagram for explaining a matching service provider apparatus 1 according to an embodiment of a database search system of the present invention.

  In FIG. 1, a matching service provider device 1, a network 3 such as the Internet or a LAN, and a user device 2 for instructing data search processing using the matching service provider device 1 are shown. ing.

  In addition, the user device 2 includes an information registration unit 4 and an information transmission / reception unit 5. In the matching service provider device 1, the user information DB 17, the execution plan information DB 18, the variable information DB 19, the prediction function information DB 20, the supply data DB 21, and the demand data DB 22 are connected to each other. Has been.

  Further, the matching service provider device 1 includes an information transmission / reception unit 6, a user registration unit 7, an execution plan registration unit 8, a processing time prediction variable registration unit 9, a processing time prediction function registration unit 10, and supply data. An analysis unit 11, a demand data analysis unit 12, a predicted process time calculation unit 13, an execution plan determination unit 14, an execution plan 1 processing unit 15, and an execution plan 2 processing unit 16 are provided. In addition to the execution plan 1 processing unit 15 and the execution plan 2 processing unit 16, a plurality of other execution plan n processing units (not shown) may be provided.

  In the configuration including the matching service provider device 1, the user device 2 is connected to the network 3 so that information communication is possible, and the matching service provider device 1 and the user device 2 are connected to each other via the network 3. It is connected. The matching service provider device 1 may be configured by, for example, a general-purpose computer system, and in this case, has a database that stores various information depending on the matching service provider device 1.

  Further, the user device 2 may be constituted by a portable information terminal such as a mobile phone or a PDA, a personal computer, a set top box, or the like. The matching service provider device 1 and the user device 2 may be provided as programs recorded on an information recording medium such as a CD-ROM or DVD, or may be a computer that can be downloaded via a network 3 such as the Internet. It may be provided according to a program.

  Next, FIG. 2 shows one example of supply data and demand data for explanation according to the embodiment of the database search system of the present invention.

  In FIG. 2, the supply data is composed of information such as “spec manufacturer about a certain TV”, for example, while the demand data is “portable music player in which a plurality of manufacturers are specified and the range of the year is specified”, “ It is composed of information such as “grains and fruits that specify the production area and the weight range”.

  Such supply data and demand data are referred to as “XML data” and the demand data is “XPath” in order to facilitate information processing in the matching service provider device 1 and the user device 2 shown in FIG. The supply data is represented as “table data”, the demand data is represented as “SQL”, the supply data is represented as “document data”, and the demand data is represented as “keyword (word)”. In the embodiment of the present invention, for the sake of explanation, the supply data is “XML data”, and the demand data is “XPath”.

  Next, FIG. 3 shows an explanatory diagram for explaining the configuration of the database according to the embodiment of the database search system of the present invention.

  3, the user information DB 17, the execution plan information DB 18, the variable information DB 19, the prediction function information DB 20, which are connected to the matching service provider device 1 shown in FIG. A supply data DB 21 and a demand data DB 22 are shown.

  The user information DB 17 stores information related to individual users such as user IDs, login names, passwords, names, countries, addresses, contacts, and preference information. The execution plan information DB 18 stores a plan ID for identifying an execution plan, processing step information, and the like.

  The variable information DB 19 stores a variable ID for identifying a variable, variable information (tag information), and the like. The prediction function information DB 20 stores a function ID, a variable ID, function information, and the like for identifying a function.

  Further, the supply data DB 21 stores supply IDs for identifying supply, user IDs of owners, entity information such as articles and job types, and the like. The demand data DB stores a demand ID for identifying demand data, a user ID, a conditional statement, and the like.

  Next, with reference to FIG. 1 to FIG. 3 and FIG. 4, first, pre-preparation (registration processing) for providing a matching service by data search processing will be described.

  First, in step S40, the matching service provider device 1 registers a user. The user information 30 input here is stored with the user ID assigned to the user information DB 17.

  Next, when execution plan information 31 is input in step S41, the execution plan registration unit 8 in FIG. 1 stores the execution plan information 31 in the execution plan information DB 18 and assigns an execution plan ID.

  Here, there are the following three examples of execution plans.

  As <Execution Plan 1>, a series of flow of “database search processing → query search corresponding to corresponding data → filter processing regarding the query set on the left” is executed.

  As <Execution Plan 2>, a series of flow of “filter processing → database search corresponding to corresponding query → database search processing regarding the data set on the left” is executed.

  <Execution plan 3> is a series of flows: “database search process → corresponding data (A), filter process → corresponding query (B) (determining whether or not there is the same user for the elements A and B)” Execute.

  It should be noted that the database search process and the filter process can be registered as different execution plans even if the processing method is the same as long as the processing algorithm is different. The different processing algorithms include complete matching, partial matching, similarity, and the like, and there are methods such as allowing ambiguous expressions and using ontologies in the similar processing.

  Next, when the variable information 32 is input in step S42, the processing time prediction variable registration unit 9 in FIG. 1 stores the variable information in the DB 19 for variable information and assigns a variable ID. Here, examples of variable information include the name of the tag and the number of appearances for XML data, and the number of nestings for XPath.

  Next, when the processing time prediction function 34 is input in step S43, the processing time prediction function registration unit 10 of FIG. 1 stores the prediction function information in the DB 20 and assigns a function ID. At this time, the function corresponds to one of <Execution plan 1> to <Execution plan 3>. An execution plan ID 33 for identifying each execution plan and variable information 32 are also input to the DB 20 for prediction function information and stored simultaneously.

  Here, as an example of the prediction function 34, there are the following three types of functions.

<Function 1> is “C0 ^* | D | ^* (appearance frequency of tag) ^* (input query size) + C1 ^* (number of matched data) + α”,
<Function 2> is “C2 ^* (input data size) + C3 ^* | Q | ^* (applicable ratio) + β”.
<Function 3> is “C0 ^* | D | ^* (appearance frequency of tag) ^* (input query size) + C2 ^* (input data size) + C4 ^* (number of conforming data) ^* (number of conforming query) + γ” is there.

  In addition, | D | indicates the stored data size, | Q | indicates the stored query size, and C0, C1, C2, C3, C4, α, β, and γ indicate constants. For these functions, <function 1> corresponds to <execution plan 1>, <function 2> corresponds to <execution plan 2>, and <function 3> corresponds to <execution plan 3>.

  Next, in step S44 and step S45, one or more supply data (XML data) 35 and demand data (XPath) 37 are registered.

  The supply data analysis unit 11 referred to in FIG. 1 analyzes the XML data, registers the XML data and the extracted variable information in the supply data DB 21 and the variable information DB 19, and assigns a supply ID.

  Further, the demand data analysis unit 12 of FIG. 1 analyzes the XPath, registers the extracted variable information in the DB 22 of the demand data and the DB 19 of the variable information, and assigns a demand ID.

  Hereinafter, the data search process in the matching service provider device 1 will be described with reference to FIG.

  When a certain user inputs supply data with a matching rate of 1% for the stored query and demand data with a matching rate of 50% for the stored data to the user device 2, information on the user device 2 is obtained. The data is transmitted from the registration unit 4 to the matching service provider device 1 through the information transmission / reception unit 5 via the network 3.

  When the information transmission / reception unit 6 of the matching service provider device 1 receives the transmitted supply data and demand data (step S50), they are converted into the supply data analysis unit 11 and the demand data analysis unit 12 referred to in FIG. Analysis is performed (step S51).

  Information extracted from each analysis unit and accumulated variable information are input to prediction functions (prediction function 1 and prediction function 2 in FIG. 5) registered in advance (step S52) (step S52) S59) and the calculation is performed.

  In this calculation, the approximate relevance ratios for the input supply data and demand data are found to be 1% and 50%, respectively, and the processing time considering these relevance ratios is calculated from the prediction function (step S53) ( Step S60).

  Based on the results obtained from these operations, the execution plan is determined by the execution plan determination unit 14 referred to in FIG. 1 (step S54), and the corresponding execution plan is determined as the execution plan 1 processing unit 15 or the execution plan 2 processing unit. The matching process is performed at 16 (step S55).

  In the case of the above-mentioned input supply data and demand data, the calculated value of <function 2> among the three types of <function 1> to <function 3> is minimized, and <execution plan 2> is executed. .

  If the result is successful by this matching method, the corresponding data is deleted or updated from the stored information (step S56), and then transmitted from the information transmitting / receiving unit 6 to the user terminal 2 via the network 3 (step S57).

  On the other hand, if it fails, the input information and the extracted variable information are accumulated in the matching service provider device 1 (step S58), and this fact is transmitted from the information transmitting / receiving unit 6 to the user terminal 2 via the network 3. (Step S57).

  The configuration of the embodiment of the present invention described above is a database search system for executing a data search process corresponding to the contents of demand data indicating demand for information and supply data indicating information to be supplied. Execution plan registration means for registering the execution plan of processing in advance, data analysis means for analyzing input demand data or supply data and extracting variable information, and variable information extracted by the data analysis means Variable information registration means for registering, prediction function registration means for registering in advance a prediction function for predicting the processing time required for the execution plan based on the variable information, and processing time of the execution plan based on the prediction function Prediction processing time calculation means for performing calculation for prediction in advance, and an execution plan according to the result of the calculation in the execution plan registration means in advance And a running plan determination means for selecting determined from among the recorded executable plans.

  Further, in each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit, the rules and / or statistical items applied in the registration can be arbitrarily set or changed.

  The prediction processing time calculation means also calculates a prediction time when the variable information partially matches or is similar.

  Further, the data search process includes at least one of a database search process and a filter process.

  Furthermore, according to the embodiment of the present invention described above, in the data search process to which the matching method based on the combination of the database search process and the filter process is applied, the input data and demand data are input to the data search process. It is possible to provide a database search system and method, a program, and a recording medium capable of selecting and executing an execution plan that requires a minimum time.

The block diagram for demonstrating the whole structure based on embodiment of the database search system of this invention is shown. An example of supply data and demand data for explanation concerning an embodiment of a database search system of the present invention is shown. The explanatory view for explaining the composition of the database concerning the embodiment of the database search system of the present invention is shown. The flowchart for demonstrating the data search process based on embodiment of the database search system of this invention is shown. The flowchart for demonstrating the data search process based on embodiment of the database search system of this invention is shown. An explanatory view for explaining database search processing and filter processing by conventional technology is shown.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Matching service provision apparatus 2 User apparatus 3 Network 4 Information registration part 5, 6 Information transmission / reception part 7 User registration part 8 Execution plan registration part 9 Processing time prediction variable registration part 10 Processing time prediction function registration part 11 Supply data analysis part DESCRIPTION OF SYMBOLS 12 Demand data analysis part 13 Process prediction time calculating part 14 Execution plan determination part 15 Execution plan 1 processing part 16 Execution plan 2 processing part 17 DB of user information
18 DB of execution plan information
19 DB of variable information
20 DB of prediction function information
21 Supply data DB
22 DB of demand data

Claims (16)

In a database search system for executing data search processing corresponding to the contents of demand data indicating demand for information and supply data indicating information to be supplied,
Execution plan registration means for registering in advance the execution plan of the data search process;
Data analysis means for analyzing input demand data or supply data and extracting variable information;
Variable information registration means for registering the variable information extracted by the data analysis means;
A prediction function registration means for registering in advance a prediction function for predicting a processing time required for the execution plan based on the variable information;
Prediction processing time calculation means for performing calculation for predicting the processing time of the execution plan based on the prediction function;
Execution plan determination means for selecting and determining an execution plan according to the result of the calculation from the execution plans registered in advance in the execution plan registration means;
A database search system comprising: In each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit,
2. The database search system according to claim 1, wherein rules and / or statistical items applied in registration can be arbitrarily set or changed. The predicted processing time calculation means includes
The database search system according to claim 1, wherein the prediction time when the variable information partially matches or is similar is also calculated. The data search process includes
The database search system according to claim 1, comprising at least one of a database search process and a filter process. In a database search method for executing a data search process corresponding to the contents of demand data indicating demand for information and supply data indicating information to be supplied,
Pre-registering an execution plan of the data search process by an execution plan registration means;
Analyzing the input demand data or supply data by data analysis means and extracting variable information;
Registering the variable information extracted by the data analysis means by variable information registration means;
Pre-registering a prediction function for predicting a processing time required for the execution plan based on the variable information by a prediction function registration unit;
Performing a calculation for predicting a processing time of the execution plan based on the prediction function by a prediction processing time calculation unit;
Selecting and determining an execution plan according to the result of the calculation from the execution plans registered in advance in the execution plan registration means by an execution plan determining means;
A database search method characterized by comprising: In each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit,
6. The database search method according to claim 5, wherein rules and / or statistical items applied in registration can be arbitrarily set or changed. The predicted processing time calculation means includes
The database search method according to claim 5, wherein the predicted time when the variable information partially matches or is similar is also calculated. The data search process includes
The database search method according to claim 5, comprising at least one of a database search process and a filter process. In a database search program for executing data search processing corresponding to the contents of demand data indicating demand for information and supply data indicating information to be supplied,
Pre-registering an execution plan of the data search process by an execution plan registration means;
Analyzing the input demand data or supply data by data analysis means and extracting variable information;
Registering the variable information extracted by the data analysis means by variable information registration means;
Pre-registering a prediction function for predicting a processing time required for the execution plan based on the variable information by a prediction function registration unit;
Performing a calculation for predicting a processing time of the execution plan based on the prediction function by a prediction processing time calculation unit;
Selecting and determining an execution plan according to the result of the calculation from the execution plans registered in advance in the execution plan registration means by an execution plan determining means;
A database search program characterized by comprising: In each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit,
10. The database search program according to claim 9, wherein rules and / or statistical items applied in registration can be arbitrarily set or changed. The predicted processing time calculation means includes
The database search program according to claim 9, wherein the prediction time when the variable information partially matches or is similar is also calculated. The data search process includes
The database search program according to any one of claims 9 to 11, including at least one of database search processing and filter processing. In a recording medium recording a database search program for executing data search processing corresponding to the contents of demand data indicating demand for information and supply data indicating information to be supplied,
Pre-registering an execution plan of the data search process by an execution plan registration means;
Analyzing the input demand data or supply data by data analysis means and extracting variable information;
Registering the variable information extracted by the data analysis means by variable information registration means;
Pre-registering a prediction function for predicting a processing time required for the execution plan based on the variable information by a prediction function registration unit;
Performing a calculation for predicting a processing time of the execution plan based on the prediction function by a prediction processing time calculation unit;
Selecting and determining an execution plan according to the result of the calculation from the execution plans registered in advance in the execution plan registration means by an execution plan determining means;
The recording medium which recorded the database search program characterized by having. In each of the execution plan registration unit, the variable information registration unit, and the prediction function registration unit,
14. A recording medium storing a database search program according to claim 13, wherein rules and / or statistical items applied in registration can be arbitrarily set or changed. The predicted processing time calculation means includes
15. The recording medium recording the database search program according to claim 13, wherein the predicted time when the variable information partially matches or is similar is also calculated. The data search process includes
The recording medium recorded with the database search program according to claim 13, comprising at least one of database search processing and filter processing.

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