JP6961987B2 - Date and time information extraction method, date and time information extraction device and date and time information extraction program - Google Patents

Description

The present invention relates to a technique for extracting date and time information.

Information collected from various sources (eg, web pages, databases, etc.) is used for corporate analysis, research strategy planning, data integration, and so on. The information collected may include information whose values change over time (eg, number of employees, sales, etc.), and when using such information, at what point in time. It is important to identify if there is one.

For example, one document discloses a technique for extracting the time of a topic from web news.

However, the data on the web page may include data described in the form of a table. The above technology is a technology for text data such as news, and is not suitable for determining when the value contained in the data described in the form of a table on a web page is the value at that time. ..

Xujian Zhao, Peiquan Jin, Lihua Yue, "Discovering topic time from web news", Information Processing & Management, November 2015, Vol. 51, No. 6, pp. 869-890, ISSN 0306-4573

An object of the present invention is, in one aspect, to provide a technique for making it possible to determine when the values contained in a table are values.

The date and time information extraction method according to one aspect is the first date and time information added to the item name or item value from the data including the item name and item value in the table, or the second date and time other than the first date and time information. Information, the second date and time information included in the description range of the table or the predetermined range immediately before or after the description range of the table is extracted, and the extracted first date and time information or the second date and time information is at least an item. Includes processing to associate with a value and store it in a storage device.

On one side, it becomes possible to determine when the values contained in the table are values.

FIG. 1 is a diagram showing a network configuration. FIG. 2 is a functional block diagram of the information processing device. FIG. 3 is a diagram showing an example of data on a web page. FIG. 4 is a diagram showing details of the portion surrounded by the table tag. FIG. 5 is a diagram showing a display example when the data of the web page is displayed on the browser. FIG. 6 is a diagram showing an example of the extracted data table. FIG. 7 is a diagram showing an example of a table relation table. FIG. 8 is a diagram showing an example of a page relation table. FIG. 9 is a diagram showing a processing flow of processing executed by the extraction unit. FIG. 10 is a diagram showing an example of data stored in the page data table. FIG. 11 is a diagram for explaining a predetermined rule. FIG. 12 is a diagram for explaining a predetermined rule. FIG. 13 is a diagram for explaining a predetermined rule. FIG. 14 is a diagram for explaining a predetermined rule. FIG. 15 is a diagram for explaining a predetermined rule. FIG. 16 is a diagram for explaining a predetermined rule. FIG. 17 is a diagram for explaining a predetermined rule. FIG. 18 is a diagram showing an example of a table table. FIG. 19 is a diagram showing a processing flow of processing executed by the extraction unit. FIG. 20 is a diagram for explaining extraction of date and time information regarding article publication. FIG. 21 is a diagram showing an example of data stored in the page data table. FIG. 22 is a diagram showing an example of data stored in the result table. FIG. 23 is a diagram showing a processing flow of processing executed by the determination unit. FIG. 24 is a diagram for explaining the determination of the information target date and time. FIG. 25 is a diagram for explaining the determination of the information target date and time. FIG. 26 is a diagram for explaining the determination of the information target date and time. FIG. 27 is a diagram for explaining the determination of the information target date and time. FIG. 28 is a diagram for explaining the determination of the information target date and time. FIG. 29 is a diagram showing a processing flow of processing executed by the generation unit. FIG. 30 is a diagram showing an example of time series data. FIG. 31 is a diagram showing an example of a graph generated based on time series data. FIG. 32 is a functional block diagram of the computer.

FIG. 1 is a diagram showing a network configuration of the present embodiment. The information processing device 1 that executes the main processing of the present embodiment is connected to, for example, a network 3 which is the Internet. The information processing device 1 receives the data of the web page from the device connected to the network 3 and executes the process on the data of the web page.

FIG. 2 is a functional block diagram of the information processing device 1. The information processing device 1 includes a data processing unit 101, an extraction unit 103, a determination unit 105, a generation unit 107, a page data storage unit 111, and a processing data storage unit 113.

The data processing unit 101, the extraction unit 103, the determination unit 105, and the generation unit 107 are realized, for example, by executing the program stored in the memory 2501 in FIG. 32 by the CPU (Central Processing Unit) 2503 in FIG. 32. The page data storage unit 111 and the processing data storage unit 113 are provided in, for example, a memory 2501 or an HDD (Hard Disk Drive) 2505.

The page data storage unit 111 stores the data of the web page received from the device connected to the network 3. The data processing unit 101 executes processing using the data stored in the page data storage unit 111, and stores the processing result in the processing data storage unit 113. The extraction unit 103 executes processing using the data stored in the page data storage unit 111 and the processing result of the data processing unit 101, and stores the processing result in the processing data storage unit 113. The determination unit 105 executes the process using the result of the process by the extraction unit 103, and stores the process result in the process data storage unit 113. The generation unit 107 generates time-series data using the result of processing by the determination unit 105, and stores the generated time-series data in the processing data storage unit 113.

FIG. 3 is a diagram showing an example of web page data stored in the page data storage unit 111. In the example of FIG. 3, the data of the web page is described in HTML (HyperText Markup Language). Further, in the example of FIG. 3, the date and time information "May 30, 2016" and the date and time information "June 1, 2016" are included. Further, the page data storage unit 111 stores the HTTP (HyperText Transfer Protocol) response header when the data of the web page is acquired.

FIG. 4 is a diagram showing details of a portion of the web page data shown in FIG. 3 surrounded by a table tag. In the example of FIG. 4, a four-row table is defined, and the item name "company name" and the item value "○ △ □ Co., Ltd.", the item name "location" and the item value "Kawasaki City, Kanagawa Prefecture ..." , The item name "representative" and the item value "Taro Tanaka, President and CEO", and the item name "capital" and the item value "324.6 billion yen (as of the end of March 2016)". The item value "324.6 billion yen (as of the end of March 2016)" includes date and time information.

FIG. 5 is a diagram showing a display example when the data shown in FIGS. 3 and 4 is displayed on a browser.

FIG. 6 is a diagram showing an example of an extracted data table stored in the processing data storage unit 113 by the processing of the data processing unit 101. In the example of FIG. 6, the data ID (IDentifier) assigned to each item name, the item name, the item value, and the information target date and time are stored. The information target date and time is date and time information indicating when the item value is the value. However, in the processing of the data processing unit 101, the date and time information is not stored in the information target date and time column.

FIG. 7 is a diagram showing an example of a table relation table stored in the processing data storage unit 113 by the processing of the data processing unit 101. In the example of FIG. 7, the data ID and the table ID assigned to each table are stored.

FIG. 8 is a diagram showing an example of a page relation table stored in the processing data storage unit 113 by the processing of the data processing unit 101. In the example of FIG. 8, the table ID and the web page ID assigned to each web page are stored.

Next, the process executed by the information processing apparatus 1 will be described with reference to FIGS. 9 to 31.

First, the process executed by the extraction unit 103 will be described with reference to FIGS. 9 to 22.

The extraction unit 103 reads the HTTP response header and the HTML file when the web page data stored in the page data storage unit 111 is acquired from the page data storage unit 111. Further, the extraction unit 103 reads the information on the acquisition date and time of the HTML file included in the HTML header from the page data storage unit 111 (FIG. 9: step S1). The extraction unit 103 stores the read acquisition date / time information, the web page ID, and the URL (Uniform Resource Locator) of the web page in the page data table in the processing data storage unit 113.

FIG. 10 is a diagram showing an example of data stored in the page data table. In the example of FIG. 10, the web page ID, the article publication date / time information, the update date / time information, the URL, and the acquisition date / time information are stored. At the time of processing in step S1, the article publication date / time information and the update date / time information are not stored.

The extraction unit 103 extracts the table description portion _Ti (i = 1, 2, ..., N) from the HTML file read in step S1 (step S3). In the present embodiment, the table description portion is the portion of the HTML file surrounded by the table tag. N is the number of tables contained in the HTML file.

The extraction unit 103 sets 1 in the variable i, which is a number representing the table (step S5).

The extraction unit 103 determines whether i ≦ N is satisfied (step S7).

If i ≦ N is established (step S7: Yes route), the extraction unit 103 extracts a set of the item name and the item value from the table description part T _i (step S9). When the set of the item name and the item value in Table description part T _i are included plural, a plurality of sets are extracted in step S9.

When the date and time information is added to the set of the item name and the item value, the extraction unit 103 extracts the date and time information and stores the extracted date and time information in the information target date and time column of the extraction data table (FIG. 6). (Step S11). For example, in the example shown in FIG. 4, since the date and time information is added to the item value, the date and time information "end of March 2016" (or "March 31, 2016") is stored in the information target date and time column. NS. In the example of FIG. 4, date and time information is added to the item value, but date and time information may be added to the item name. Further, in the example of FIG. 4, the character string "time point" is added to the date and time information, but such a character string (others such as "current" and "attached") may not be added. ..

Extraction unit 103 from the read HTML file in step S1, date and time information about the table description section T _i according to a predetermined rule (hereinafter, referred to as Table date) is extracted (step S13).

A predetermined rule will be described with reference to FIGS. 11 to 17.

FIG. 11 is a diagram showing an example in which date and time information is described using a caption tag. In the present embodiment, as shown in FIG. 11, when the date and time information is described by using the caption tag included in the range surrounded by the table tag, the date and time information is extracted as the date and time information. In the example of FIG. 11, the date and time information “end of March 2016” is extracted.

Further, the date and time information enclosed by the tags up to n before the table tag or the date and time information enclosed by the tags up to n after the table tag may be extracted. In the example of FIG. 12, the date and time information “end of March 2016” enclosed by the tags up to two tags before the table tag is extracted. Here, the tags inside the outermost tags in each line are excluded and counted. For example, in the example of FIG. 12, the span tag is excluded from the count.

Further, a tag containing only one tag may be treated as having no tag. For example, in FIG. 13A, only the table tag is included inside the div tag. In such a case, as shown in FIG. 13B, it may be treated as if the div tag does not exist. Further, for example, in FIG. 14A, only the p tag is included inside the div tag. In such a case, as shown in FIG. 14B, it may be treated as if the div tag does not exist.

Further, the tag for which the date and time information is extracted may be limited to the tag in the same hierarchy as the table tag or the tag in the hierarchy below the table tag hierarchy. For example, in FIG. 15, since n = 2 and the p tag after the table tag is in the same hierarchy as the table tag, the date and time information “end of March 2016” enclosed by the p tag after the table tag is extracted. Will be done. Tags outside the div tag are excluded from the date and time information extraction target. Further, the tags after the h tag may be regarded as tags of the same hierarchy. In this case, in FIG. 16, the h3 tag immediately before the table tag and the p tag immediately after the table tag can be regarded as tags having the same hierarchy as the table tag. Therefore, the date and time information "end of March 2016" enclosed by the h3 tag immediately before the table tag is extracted. On the other hand, since the p tag at the end is not a tag in the same hierarchy as the table tag, the date and time information "end of March 2016" surrounded by the p tag is not extracted.

Further, the specific tag may be treated as having no specific tag. For example, in FIG. 17A, the br tag is included inside the p tag, but as shown in FIG. 17B, processing may be performed assuming that there is no br tag. Although the br tag is shown in the example of FIG. 17, tags other than the br tag may be handled in the same manner.

Further, only the date and time information to which a specific character or a character string is added may be the target of extraction. The specific character or character string is, for example, "present", "time point", "attachment", or the like.

Since the above rules are examples, rules other than these rules may be used. Further, the priority of each rule described with reference to FIGS. 11 to 17 may be set based on the designation of the operator of the information processing apparatus 1.

Returning to the description of FIG. 9, the extraction unit 103 generates an entry for the table table in the processing data storage unit 113. Then, the extraction unit 103 stores the date and time information extracted in step S13 in the table date and time column of the generated entry (step S15).

FIG. 18 is a diagram showing an example of a table table. In the example of FIG. 18, the table ID and the information of the table date and time are stored. If the date and time information is not extracted in step S13, the table date and time column is empty.

The extraction unit 103 increments i by 1 (step S17). Then, the process returns to step S7.

On the other hand, when i ≦ N is not established (step S7: No route), the process proceeds to step S19 of FIG. 19 via the terminal A.

Moving on to the description of FIG. 19, the extraction unit 103 extracts date and time information related to article issuance from the HTML file read in step S1 (FIG. 19: step S19). Since the date and time when the web page was published may be described at the beginning or the end of the web page, in the present embodiment, the date information enclosed by the first or last div tag or p tag in the HTML file is used. Be extracted. For example, in the example of FIG. 20, the date and time information enclosed by the p tag that first appears in the HTML file is extracted.

The extraction unit 103 extracts date and time information related to the update from the HTTP response header read in step S1 (step S21). Since the information on the date and time when the web page was updated may be included in the HTTP response header, the date and time information is extracted from the HTTP response header. However, if the date and time indicated by the extracted date and time information is later than or at the same time as the acquisition date and time described later, it is determined that the process of step S21 has failed in the present embodiment.

The extraction unit 103 determines in step S19 whether or not the date and time information related to article issuance has been successfully extracted (step S25).

If the extraction of the date and time information related to the article publication fails in step S19 (step S25: No route), the process proceeds to step S29.

On the other hand, when the extraction of the date and time information related to the article publication is successful in step S19 (step S25: Yes route), the extraction unit 103 executes the following processing. Specifically, the extraction unit 103 stores the date and time information regarding the article publication in the article publication date and time column of the page data table (FIG. 10) (step S27).

The extraction unit 103 determines whether the acquisition date and time stored in the page data table (FIG. 10) is later than the date and time indicated by the date and time information extracted in step S21 (step S29).

If the acquisition date and time stored in the page data table (FIG. 10) is not later than the date and time indicated by the date and time information extracted in step S21 (step S29: No route), the process proceeds to step S35.

On the other hand, when the acquisition date and time stored in the page data table (FIG. 10) is later than the date and time indicated by the date and time information extracted in step S21 (step S29: Yes route), the extraction unit 103 performs the following processing. To execute. Specifically, the extraction unit 103 stores the date and time information regarding the update in the update date and time column of the page data table (FIG. 10) (step S31).

FIG. 21 is a diagram showing an example of data stored in the page data table by the processing up to step S31. Compared with FIG. 10, the article publication date and time information and the update date and time information are newly stored in the page data table.

The extraction unit 103 generates result data in the result table stored in the processing data storage unit 113 (step S35). In step S35, the result data is generated for each item value of the table included in the HTML file to be processed.

FIG. 22 is a diagram showing an example of data stored in the result table. In the example of FIG. 22, data ID, table date and time information, article publication date and time information, update date and time information, and acquisition date and time information are stored. Information on the table date and time stored in the table table (FIG. 18) is stored in the table date and time column. In the article publication date / time column, information on the article publication date / time stored in the page data table (FIG. 21) is stored. In the update date and time column, information on the update date and time stored in the page data table (FIG. 21) is stored. In the acquisition date / time column, the acquisition date / time information stored in the page data table (FIG. 21) is stored. The table ID corresponding to the data ID is specified by the table relation table (FIG. 7). Further, the web page ID corresponding to the data ID is specified by the table-related table (FIG. 7) and the page-related table (FIG. 8).

By executing the above processing, it becomes possible to associate the related date and time information with each item value in the table.

Next, the process executed by the determination unit 105 will be described with reference to FIGS. 23 to 28. This process is executed after the extraction unit 103 executes the process. In the following, an example of executing the process for one data ID in the extracted data table (FIG. 6) is shown, but the process may be executed for each data ID in the extracted data table (FIG. 6).

The determination unit 105 identifies one data ID from the data IDs stored in the extracted data table (FIG. 6) (FIG. 23: step S41).

The determination unit 105 reads out the entry having the data ID specified in step S41 from the extracted data table (FIG. 6) (step S43).

The determination unit 105 determines whether the entry read in step S43 includes the information target date and time (step S45).

When the entry read in step S43 contains the information of the information target date and time (step S45: Yes route), the process ends.

On the other hand, when the entry read out in step S43 does not include the information target date and time (step S45: No route), the determination unit 105 reads out the result data having the data ID specified in step S41 from the result table (FIG. 22). .. Then, the determination unit 105 determines whether the read result data includes the information of the table date and time (step S47).

When the read result data includes the table date and time information (step S47: Yes route), the determination unit 105 uses the table date and time information included in the read result data as the information target date and time in the extracted data table (FIG. 6). It is stored in the column of (step S49). And the process ends.

On the other hand, when the read result data does not include the table date and time information (step S47: No route), the determination unit 105 determines whether the read result data includes the article publication date and time information (step S51).

When the read result data includes the article publication date / time information (step S51: Yes route), the determination unit 105 obtains the article publication date / time information included in the read result data in the extracted data table (FIG. 6). It is stored in the target date and time column (step S53). And the process ends.

On the other hand, when the read result data does not include the article publication date / time information (step S51: No route), the determination unit 105 determines whether the read result data includes the update date / time information (step S55).

When the read result data includes the update date and time information (step S55: Yes route), the determination unit 105 inputs the update date and time information included in the read result data to the information target date and time in the extracted data table (FIG. 6). It is stored in the column of (step S57). And the process ends. On the other hand, when the read result data does not include the update date / time information (step S55: No route), the determination unit 105 inputs the acquisition date / time information included in the read result data in the extraction data table (FIG. 6). It is stored in the information target date and time column (step S59). And the process ends.

By executing the above processing, it becomes possible to determine appropriate date and time information for the item value among the date and time information associated with the item value in the table.

The determination of the information target date and time will be described more specifically with reference to FIGS. 24 to 28.

For example, assume that the data shown in FIG. 24 is stored in the result table. In this case, since the table date and time information is stored for the data ID "1234567890-0", if the information target date and time information is not stored in the extracted data table, the information target is as shown in FIG. The table date and time "2016/06/01" is stored in the date and time column.

For example, assume that the data shown in FIG. 26 is stored in the result table. In this case, the table date and time information is not stored for the data ID "1234567890-0", but the article publication date and time information is stored. Therefore, if the information of the information target date and time is not stored in the extracted data table, the article publication date and time "2016/05/30" is stored in the information target date and time column as shown in FIG. 27.

For example, assume that the data shown in FIG. 28 is stored in the result table. In this case, the table date and time information is stored for the data ID "1234567890-3". However, as shown in FIG. 27, when the information target date and time "2016/03/31" is stored for the data ID "1234567890-3", the table date and time information is not stored in the information target date and time column. ..

Next, the process executed by the generation unit 107 will be described with reference to FIGS. 29 to 31.

It is assumed that the information processing device 1 executes the above-described processing on the data of the web page acquired from a plurality of information sources. Then, the generation unit 107 reads, for example, the item value and the information target date and time for the data ID specified by the operator of the information processing device 1 from the extracted data table (FIG. 29: step S61).

The generation unit 107 generates time-series data including the item value read in step S61 and the information target date and time (step S63), and stores the time series data in the processing data storage unit 113. And the process ends.

FIG. 30 is a diagram showing an example of time series data generated in step S63. In the example of FIG. 30, the item values at four time points are stored for the item name “capital”.

FIG. 31 is a diagram showing an example of a graph generated based on the time series data shown in FIG. The operator of the information processing device 1 can perform company analysis and the like by confirming such a graph.

Although one embodiment of the present invention has been described above, the present invention is not limited thereto. For example, the functional block configuration of the information processing device 1 described above may not match the actual program module configuration.

Further, the configuration of each table described above is an example, and does not have to be the configuration as described above. Further, in the processing flow, the order of processing can be changed as long as the processing result does not change. Further, it may be executed in parallel.

The information processing device 1 described above is a computer device, and as shown in FIG. 32, is used for a memory 2501, a CPU 2503, an HDD 2505, a display control unit 2507 connected to the display device 2509, and a removable disk 2511. The drive device 2513, the input device 2515, and the communication control unit 2517 for connecting to the network are connected by a bus 2519. The operating system (OS: Operating System) and the application program for executing the processing in this embodiment are stored in the HDD 2505, and are read from the HDD 2505 to the memory 2501 when executed by the CPU 2503. The CPU 2503 controls the display control unit 2507, the communication control unit 2517, and the drive device 2513 according to the processing contents of the application program to perform a predetermined operation. Further, although the data in the process of processing is mainly stored in the memory 2501, it may be stored in the HDD 2505. In the embodiment of the present invention, the application program for performing the above-described processing is stored and distributed on the computer-readable removable disk 2511 and installed from the drive device 2513 to the HDD 2505. It may be installed on the HDD 2505 via a network such as the Internet and a communication control unit 2517. Such a computer device realizes various functions as described above by organically collaborating with the hardware such as the CPU 2503 and the memory 2501 described above and the program such as the OS and the application program. ..

The embodiments of the present invention described above can be summarized as follows.

The date and time information extraction method according to the first aspect of the present embodiment is the first date and time information added to the item name or item value from the data including the item name and item value in the table (A), or the first date and time information. The second date and time information other than the date and time information of 1 and included in the predetermined range immediately before or after the description range of the table or the description range of the table is extracted, and (B) the extracted first date and time information is extracted. Includes a process of storing the date and time information or the second date and time information of the above in the storage device in association with at least the item values.

It becomes possible to determine when the item values contained in the table are the values.

Further, the second date and time information may be date and time information included in the description range of the table and surrounded by tags for describing the description of the table.

For example, the second date and time information can be extracted by using the HTML CAPTION tag or the like.

Further, the second date and time information may be date and time information included in a predetermined range immediately before or after the description range of the table and to which a predetermined character or a predetermined character string is added.

For example, the second date and time information can be extracted by using characters or character strings such as "time point", "current", and "attached".

Further, the second date and time information is included in a predetermined range immediately before or after the description range of the table and is surrounded by tags in the same hierarchy as the table tag for describing the table, or the description range of the table. It may be date and time information included in and surrounded by tags in the hierarchy below the table tag.

Extraction can be performed by utilizing the characteristics of how the date and time information is described.

Further, the present date and time information extraction method may further include (C) a process of extracting a third date and time information included in the first predetermined tag or the last predetermined tag in the data and indicating the issue date and time of the data. Then, in the process of storing in the storage device, (b1) the extracted first date and time information, the second date and time information, or the third date and time information may be stored in the storage device in association with at least the item values.

Since the item value may be regarded as the value at the time of the issue date and time of the data, if the process described above is executed, the appropriate date and time information can be associated with the item value.

Further, the present date and time information extraction method may further include (D) a process of extracting a fourth date and time information included in the header of the data and indicating the update date and time of the data. Then, in the process of storing in the storage device, (b2) the extracted first date and time information, the second date and time information, or the fourth date and time information may be stored in the storage device in association with at least the item values.

Since the item value may be regarded as the value at the time of the update date and time of the data, if the process described above is executed, the appropriate date and time information can be associated with the item value.

Further, the present date and time information extraction method may further include (E) a process of acquiring a fifth date and time information indicating the acquisition date and time of the data. Then, in the process of storing in the storage device, (b3) the extracted first date and time information, the second date and time information, or the fifth date and time information may be stored in the storage device in association with at least the item values.

Since the item value may be regarded as the value at the time of data acquisition date / time, if the process described above is executed, appropriate date / time information can be associated with the item value.

Further, the predetermined range may be a range including a predetermined number of tags.

You will be able to properly define the range of data in which tags are used.

Further, the data may be the data of a web page.

The date and time information extraction device according to the second aspect of the present embodiment is the first date and time information added to the item name or item value from the data including the item name and item value in the table (F), or the first date and time information. Extraction unit (extraction in the embodiment) that extracts the second date and time information that is the second date and time information other than the date and time information of 1 and is included in the predetermined range immediately before or after the description range of the table or the description range of the table. A unit 103 is an example of an extraction unit) and a storage processing unit (G) that stores the first date and time information or the second date and time information extracted by the extraction unit in a storage device in association with at least an item value. The determination unit 105 in the embodiment is an example of the storage processing unit).

A program for causing the processor to perform the processing by the above method can be created, and the program can be a computer-readable storage medium such as a flexible disk, a CD-ROM, a magneto-optical disk, a semiconductor memory, or a hard disk. Stored in storage. The intermediate processing result is temporarily stored in a storage device such as a main memory.

The following additional notes will be further disclosed with respect to the embodiments including the above embodiments.

(Appendix 1)
On the computer
From the data including the item name and the item value of the table, the first date and time information added to the item name or the item value, or the second date and time information other than the first date and time information, which is the second date and time information other than the first date and time information, and is the table. The second date and time information included in the description range of the above or the predetermined range immediately before or after the description range of the table is extracted.
The extracted first date and time information or the second date and time information is stored in the storage device in association with at least the item values.
A date and time information extraction program that executes processing.

(Appendix 2)
The second date and time information is date and time information included in the description range of the table and enclosed by tags for describing the description of the table.
The date and time information extraction program described in Appendix 1.

(Appendix 3)
The second date and time information is date and time information included in a predetermined range immediately before or after the description range of the table and to which a predetermined character or a predetermined character string is added.
The date and time information extraction program described in Appendix 1.

(Appendix 4)
The second date and time information is included in a predetermined range immediately before or after the description range of the table and surrounded by tags in the same hierarchy as the table tag for describing the table, or the date and time information of the table. Date and time information included in the description range and surrounded by tags in the hierarchy below the table tag.
The date and time information extraction program described in Appendix 1.

(Appendix 5)
On the computer
Further, the process of extracting the third date and time information included in the first predetermined tag or the last predetermined tag in the data and indicating the issue date and time of the data is further executed.
In the process of storing in the storage device
The extracted first date and time information, the second date and time information, or the third date and time information is stored in the storage device in association with at least the item value.
The date and time information extraction program according to any one of Supplementary notes 1 to 4.

(Appendix 6)
On the computer
Further, the process of extracting the fourth date and time information included in the header of the data and indicating the update date and time of the data is further executed.
In the process of storing in the storage device
The extracted first date and time information, the second date and time information, or the fourth date and time information is stored in the storage device in association with at least the item value.
The date and time information extraction program according to any one of Supplementary notes 1 to 4.

(Appendix 7)
On the computer
Further, the process of acquiring the fifth date and time information indicating the acquisition date and time of the data is executed.
In the process of storing in the storage device
The extracted first date and time information, the second date and time information, or the fifth date and time information is stored in the storage device in association with at least the item value.
The date and time information extraction program according to any one of Supplementary notes 1 to 4.

(Appendix 8)
The predetermined range is a range including a predetermined number of tags.
The date and time information extraction program according to any one of Supplementary notes 1 to 7.

(Appendix 9)
The data is web page data,
The date and time information extraction program according to any one of Supplementary notes 1 to 8.

(Appendix 10)
The computer
From the data including the item name and the item value of the table, the first date and time information added to the item name or the item value, or the second date and time information other than the first date and time information, which is the second date and time information other than the first date and time information, and is the table. The second date and time information included in the description range of the above or the predetermined range immediately before or after the description range of the table is extracted.
The extracted first date and time information or the second date and time information is stored in the storage device in association with at least the item values.
Date and time information extraction method to execute processing.

(Appendix 11)
From the data including the item name and the item value of the table, the first date and time information added to the item name or the item value, or the second date and time information other than the first date and time information, which is the second date and time information other than the first date and time information, and is the table. The extraction unit that extracts the second date and time information included in the description range of the above or the predetermined range immediately before or after the description range of the table, and
A storage processing unit that stores the first date and time information or the second date and time information extracted by the extraction unit in the storage device in association with at least the item values.
Date and time information extraction device.

1 Information processing device 101 Data processing unit 103 Extraction unit 105 Judgment unit 107 Generation unit 111 Page data storage unit 113 Processing data storage unit 3 Network

Claims (10)

On the computer
From the data including the table including a plurality of item names and item value sets, the first date and time information added to the item name or the item value, or the second date and time information other than the first date and time information. Then, the second date and time information included in the description range of the table or the predetermined range immediately before or after the description range of the table is extracted.
The extracted first date and time information or the second date and time information is stored in the storage device in association with at least each of the item values included in the plurality of sets.
A date and time information extraction program that executes processing. The second date and time information is date and time information included in the description range of the table and enclosed by tags for describing the description of the table.
The date and time information extraction program according to claim 1. The second date and time information is date and time information included in a predetermined range immediately before or after the description range of the table and to which a predetermined character or a predetermined character string is added.
The date and time information extraction program according to claim 1. The second date and time information is included in a predetermined range immediately before or after the description range of the table and surrounded by tags in the same hierarchy as the table tag for describing the table, or the date and time information of the table. Date and time information included in the description range and surrounded by tags in the hierarchy below the table tag.
The date and time information extraction program according to claim 1. On the computer
Further, the process of extracting the third date and time information included in the first predetermined tag or the last predetermined tag in the data and indicating the issue date and time of the data is further executed.
In the process of storing in the storage device
The extracted first date and time information, the second date and time information, or the third date and time information is stored in the storage device in association with at least each of the item values included in the plurality of sets.
The date and time information extraction program according to any one of claims 1 to 4. On the computer
Further, the process of extracting the fourth date and time information included in the header of the data and indicating the update date and time of the data is further executed.
In the process of storing in the storage device
The extracted first date and time information, the second date and time information, or the fourth date and time information is stored in the storage device in association with at least each of the item values included in the plurality of sets.
The date and time information extraction program according to any one of claims 1 to 4. On the computer
Further, the process of acquiring the fifth date and time information indicating the acquisition date and time of the data is executed.
In the process of storing in the storage device
The extracted first date and time information, the second date and time information, or the fifth date and time information is stored in the storage device in association with at least each of the item values included in the plurality of sets.
The date and time information extraction program according to any one of claims 1 to 4. The predetermined range is a range including a predetermined number of tags.
The date and time information extraction program according to any one of claims 1 to 7. The computer
From the data including the table including a plurality of item names and item value sets, the first date and time information added to the item name or the item value, or the second date and time information other than the first date and time information. Then, the second date and time information included in the description range of the table or the predetermined range immediately before or after the description range of the table is extracted.
The extracted first date and time information or the second date and time information is stored in the storage device in association with at least each of the item values included in the plurality of sets.
Date and time information extraction method to execute processing. From the data including the table including a plurality of item names and item value sets, the first date and time information added to the item name or the item value, or the second date and time information other than the first date and time information. The extraction unit for extracting the second date and time information included in the description range of the table or the predetermined range immediately before or after the description range of the table.
A storage processing unit that stores the first date and time information or the second date and time information extracted by the extraction unit in a storage device in association with at least each of the item values included in the plurality of sets.
Date and time information extraction device.

Images