JPH1069495A - Method for working and retrieving character information of teletext broadcasting - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide the method of working and retrieving the character information of teletext broadcasting capable of listing and retrieving the various character information distributed from the ground data broadcasting of a teletext broadcasting type on a map. SOLUTION: A map data base 104 and a connection data base 105 are provided and the kind of information, position information, a key word relating to the updating time of the information and information contents are extracted from the character information 103 unidirectionally distributed by the ground data broadcasting of the teletext broadcasting type, connected with a map position corresponding to the position information and stored in the connection data base 105. Then, by the kind of the information, the position information and the key word relating to the required time of the information extracted from a retrieval sentence 107 from an information receiver, map data 104 corresponding to the position information and information data 105 connected to map information are extracted and the information data are displayed on the map. Thus, required information is listed and retrieved on the map.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to character information distributed by terrestrial data broadcasting of the text multiplex broadcasting type, and more particularly to a method of processing and searching for character information performed for listing and searching for information recipients.

[0002]

2. Description of the Related Art At present, a text multiplex broadcasting in which a text signal is superimposed on a video signal in a vertical blanking period which does not appear on a television screen and transmitted in terrestrial broadcasting such as TV broadcasting and FM broadcasting has been put to practical use. . Also, with the rapid development of digital technology in recent years, experiments of data broadcasting using CATV broadcasting, satellite broadcasting, and the like have been advanced.

As described above, data broadcasting using the teletext broadcasting infrastructure has been actively performed in recent years. Until now, fields which handle information distributed by such teletext broadcasting type terrestrial data broadcasting have been used. In, most of the information to be distributed is textual information, so that it is difficult for an information receiver to visually grasp various information at once, and it is difficult to obtain necessary information.

[0004] In the field of car navigation, a traffic information service using VICS has been started. In connection with this, a "traffic information transmission system" disclosed in Japanese Patent Application Laid-Open No. 5-81594 or Japanese Patent Application Laid-Open No. 5-89.
No. 399 discloses a "traffic information communication system" and the like. In this method, traffic information distributed by a sender of information is sent with location information added thereto, and the information is distributed after being classified into characters only, with a simple map, and the like. Therefore, it is necessary for the receiving device to receive each piece of information, and an information receiver having a character-only receiver cannot see that information on a map. For these reasons, there is a strong demand for a unified information receiving device.

[0005]

In the above-described method in which the text information distributed by the teletext broadcasting of the text multiplex broadcasting type is handled as it is on a text basis, it is difficult for the information receiver to list and retrieve necessary information. However, there is a problem that it takes time to obtain necessary information.

[0006] In order to solve the problem, if information to be classified into information to be distributed is to be added and sent, the information transmitting side must add the information.
Further, when the information to be distributed is classified, there is a problem that it is necessary to make the receiving device correspond to each classification of the information.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-mentioned problems of the prior art, and is unidirectionally distributed by multiplex terrestrial data broadcasting such as FM text broadcasting and TV text broadcasting. The information type, location information, keywords related to the update time of the information, and the information content are extracted from the text information to be combined with the corresponding map location, and the necessary information is retrieved on the map by a search sentence from the information recipient. The purpose is to provide a method that can be listed and searched in.

[0008]

The text information processing and retrieval method of the present invention for text multiplex broadcasting is distributed from a terrestrial data broadcasting of a text multiplex broadcasting type which is performed for listing and searching for information receivers. A method of processing and searching for character information, comprising a map database of a required area and a combination information database for information combined with the map database by a keyword relating to position information. A first procedure for extracting information, a keyword relating to an update time of information and information content, and a second procedure for extracting a map of a position represented by the keyword relating to the location information extracted in the first procedure from a map database And information already combined with the map extracted in the second procedure is extracted from the combined information database and extracted from the distributed character information. It is determined whether the information needs to be updated based on the type of information, the keyword related to the information update time, and the type of information included in the information extracted from the combined information database corresponding to the keyword, and the information update time. If it is determined in the third procedure that the information needs to be updated in the third procedure, the information that has already been combined is updated and the type of information extracted from the character information, the position information, A fourth step of combining the keyword relating to the information update time and the information content with the map extracted in the second procedure and storing the combined information in the combined information database; A search sentence composed of a character string transmitted by an information receiver is input, and a keyword relating to the type of information, position information, and time required for information is extracted from the search sentence. And the sixth step of determining the degree of detail of the map to be displayed from the keyword related to the position information extracted in the fifth step, and extracting the map of the position represented by the keyword related to the position information from the map database; The information already combined with the map extracted in the procedure of step 6 is extracted from the combined information database, and the information extracted from the information is extracted by using keywords related to the type of information extracted from the search sentence and the time required for the information. A seventh procedure for searching for information to be displayed, and the information to be displayed searched for in the seventh procedure is displayed on a map having a degree of detail corresponding to the position information of the search sentence extracted in the sixth procedure. And a method for retrieving character information comprising:

[0009] In the second procedure, whether a position represented by the keyword represents one point or an area of a map included in the map database is determined by a keyword relating to position information extracted from the distributed character information. Make a decision,
The third means may determine the range of the information to be extracted from the already combined information in the combined information database, and the determination of whether the information needs to be updated in the third procedure is based on the distributed character information. If the same keyword as the type of information extracted from is not found in the information extracted from the combined information database, it is automatically determined that updating is necessary, and if there is the same keyword, By comparing the update time of the extracted information with the update time of the information extracted from the combined information database, if the update time of the information extracted from the distributed character information is newer, it is automatically determined that the update is necessary. You may judge it.

Further, the determination of the degree of detail of the map in the sixth procedure is determined by the classification of the degree of detail preset for the keyword based on the size of the area indicated by the keyword of the assumed position information and the designated point. You may.

According to the present invention, in classification and storage of character information distributed from a terrestrial data broadcast of a text multiplex broadcasting type, a map position to be combined using a keyword relating to position information extracted from information distributed from the terrestrial data broadcast. The range of the information is determined, the character information is filtered by the map, and the information is classified and stored by linking to the map position, so that the management of the information on the map becomes easy, the list of information recipients and search In this case, there is an effect that the time for acquiring necessary information can be reduced.

[0012] Information distributed using a keyword related to the type of information and information update time extracted from information distributed from the teletext broadcasting of the teletext type and information already combined at the same position. By determining the need for updates, the efficiency of the update work is improved by automatically selecting and updating only the necessary data, and the automatic update that always updates the old information to the new information automatically. Has an action.

In the case of listing and searching for character information distributed from a teletext broadcasting type terrestrial data broadcast, details of a map to be displayed using a keyword relating to position information extracted from a search sentence transmitted from a receiver. Determining the degree has the effect that the map on which the information is displayed can be in a more easily viewable range.

The method of listing and searching for combined information on a map makes it possible to list and search for information on a map, which is the object of the present invention. As a result, various information distributed from the teletext broadcasting type terrestrial data broadcasting can be listed on the map, and the information collection and retrieval efficiency by the information receiver can be improved.

The term "filtering" used in this specification and the drawings means that distributed information is stored in a database through a filter called a map, and "browsing" is a part of the entire information. Is displayed.

[0016]

Next, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing a main configuration of an apparatus for performing character information filtering and search using a map in teletext broadcasting according to the present invention. In FIG. 1, reference numeral 101 denotes a distribution information-map combination processing unit; Map browsing processing unit 103, distribution character information database 103, map database 104,
05 is a connected database, 106 is an unconnected database, 107 is a search sentence, 110 is a keyword extraction processing unit,
120 is a map position extraction processing unit, 130 is a data correspondence inspection processing unit, 140 is an information combination processing unit, 150 is a search word extraction processing unit, 160 is a map extraction processing unit, 170 is a combined data search processing unit, and 180 is display control It is a processing unit.

The configuration of the main part of this apparatus is composed of a distribution information-map combination processing unit 101 and a map browsing processing unit 102.
It is roughly divided into two.

The distribution information / map combination processing unit 101 receives the distribution character information database 103 and performs processing. The keyword extraction processing unit 110 receives the map database 104 based on the processing result of the processing unit 110 and performs processing. Location extraction processing unit 120 that performs the processing, based on the processing result of this processing unit 120,
The data correspondence inspection processing unit 130 determines whether to accept the data and transfer the processing to the information combining processing unit 140 or to output the data to the uncombined database 106.
And an information combination processing unit 140 that outputs the processing result to the combination database 105 based on the processing result.

The map browsing processing unit 102 receives a search sentence 107 and performs a process on the search word extraction processing unit 150. Based on the processing result of the processing unit 150, the map database 104 is received and a map extraction process is performed. A processing unit 160, a combined data search processing unit 170 that receives and executes the combined database 105 based on the processing result of the processing unit 160, and a display that displays the processing result based on the processing result of the processing unit 170 A control processing unit 180 is provided.

The distribution character information database 103
Is text information distributed from a text multiplex broadcast type terrestrial data broadcast such as FM text broadcast and TV text broadcast. This information includes weather information, traffic information, disaster information, event information, gourmet information, and the like. Map database 104
Is a database including data of a sequence of coordinate points of a figure existing in a map and data of a character string specifying a position such as an address. The connection database 105 is data that has been subjected to connection processing with a map position in character information that has been distributed by text multiplex broadcasting and has position information, update time, information type, and information content. The uncombined database 106 is a database having data that has not been subjected to the combining process with the map position in the character information that has been distributed by text multiplex broadcasting. The search sentence 107 is a sentence composed of a character string obtained by inputting a list and contents to be searched by the information receiver.

The processing in each of the above processing units will be described with reference to FIG. FIG. 2 is a flowchart specifically showing the processing performed in each unit of the block diagram shown in FIG. 1, where 203 is a character string for distribution character information, 204 is a character string for a map data coordinate point string, and 205 is a combined data string. A coordinate point string character string, 206 is an uncombined data coordinate point string character string, 207 is a search text string, S201 is distribution information-map combining processing, S202 is map browsing processing, S210 is keyword extraction processing, and S220 is map Position extraction processing, S23
0 is data correspondence inspection processing, S240 is information combination processing, S
250 is a search word extraction process, S260 is a map extraction process, S270 is a combined data search process, and S280 is a display control process. FIG. 3 is a schematic diagram illustrating a method of classifying the degree of detail of a search map.

This processing is also performed by the distribution information-map combining processing 20.
1. The map browsing process 202 is roughly divided into two.

The distribution information-map combination processing S201 performs the following processing. The distributed character information 203 is in the form of a character string, and this data is used for keyword extraction processing S2.
Input to 10.

In the keyword extraction process S210, the position information, the type of information, the keyword relating to the information update time, and the information content are extracted from the character information 203, and the extracted information is sent to the next process. Can be

Here, the position information is extracted from the character string included in the character information 203 as a keyword related to the map position. The keywords related to the map position here include, for example, Japan, Kanto, Kanagawa,
Northern Kanagawa Prefecture, Yokohama City, Isogo Ward, Sugita, 5-chome, No. 5, No. 5, etc., or Tokyo Disneyland, Hachioji Int'l Interengage, Tokyo Tower, etc., representing a specific building or location. The types of information include weather information, traffic information, disaster information, event information, gourmet information, and the like.
3 is extracted as a keyword related to this type of information. The information update time is extracted from the character string included in the character information 203 or the time at which the information was distributed, as a keyword related to the information update time. The keyword related to the information update time here is, for example, 3:00 pm, in June, this week, and the like.

In the map position extraction process S220, the corresponding map data 204 is extracted from the map data 204 in the form of a coordinate point sequence and a character string, using the position represented by the keyword relating to the position information extracted in the keyword extraction process S210. Are sent to the next data correspondence inspection process S230 together with the keywords and information contents extracted in the keyword extraction process S210.

In the data correspondence inspection process S230, the combined data 20 already combined from the combined data 205 with the map data 204 extracted in the map position extraction process S220.
5 in the form of a coordinate point string and a character string, and information of the extracted combined data and a keyword extraction process S210
It is determined whether or not the information needs to be updated by comparing the type of information extracted in the above with the keyword relating to the information update time.

The information determined to need to be updated in the data correspondence inspection processing S230 is transmitted to the information combination processing S24.
0, and if it is determined that there is no need to update,
It is output as unbound data 206.

In the information combining process S240, the map data extracted in the map position extracting process S220 is combined with the type of information, the position information, the keyword relating to the information update time, and the information content, which are extracted in the keyword extracting process S210. Then, it outputs to the combined data 205.

The map browsing process S202 performs the following process. The search sentence 207 is in the form of a character string, and this data is input to the search word extraction processing S250. In the search word extraction processing S250, the search sentence 207
, Keywords related to the type of information, position information, and time required for information are extracted.

Here, this position information is extracted from the character string included in the search sentence 207 as a keyword related to the map position. The keywords related to the map position here include, for example, Japan, Kanto, Kanagawa, Northern Kanagawa, Yokohama, Isogo-ku, Sugita, 5
Street number 5, No. 5, etc., or Tokyo Disneyland, Hachioji Internage, Tokyo Tower, etc. representing a specific building or place. The types of information include weather information, traffic information, disaster information, event information, gourmet information, and the like.
Is extracted as a keyword related to this type of information from the character string included in. The time required for information is extracted from the character string included in the search sentence 207 or the time of input of the search sentence as a keyword related to the time required for information. The keyword relating to the time required for the information here is, for example, 3:00 pm, this afternoon, next week, and the like.

In the map extraction process S260, the corresponding map data 204 is extracted from the map data in the form of a coordinate point string and a character string using the position indicated by the keyword relating to the position information extracted in the search word extraction process S250. Is performed, and the degree of detail of the map to be displayed is determined.

Here, the details of the map are classified, for example, as shown in FIG. If the range indicated by the map position is the world, Japan, Kanto, Kanagawa Prefecture, and northern Kanagawa Prefecture, a wide area map is selected. If the range indicated by the map position is Yokohama City, Isogo Ward, and Sugita, a small area map is selected. When the range indicated by the map position is 5, 5-, 5-, or 5, the detailed map is selected. If the range indicated by the map position is within a specific building or an amusement park, a premises map is selected.

In the combined data search process S270, the combined data 205 already combined with the map data 204 extracted in the map extraction process S260 is extracted from the combined data 205, and a search word extraction process is performed on the extracted information. Information to be displayed is searched for from the keywords related to the type of information and the time required for the information extracted in S250.

In the display control process S280, the display of the information extracted in the combined data search process S270 is controlled on the map data of the degree of detail of the map determined in the map extraction process S260.

FIGS. 4 to 7 are flowcharts showing more detailed processing flow of each processing of the distribution information-map combining processing S201 described above. That is, FIG. 4 shows the keyword extraction processing S210, FIG. 5 shows the map position extraction processing S220, and FIG.
FIG. 7 is a flowchart showing a detailed processing flow of the data correspondence inspection processing S230, and FIG. 7 is a flowchart showing a detailed processing flow of the information combination processing S240. S211 to S216 correspond to S210 to S221 to S216.
225 is S220, and S231 to S239 are S230.
S241 to S244 are detailed steps of S240.

In the keyword extraction processing S210, processing is performed according to a flow as shown in FIG. When the character string of the character information 203 distributed in S211 is input, S2
At 12, the location information is extracted, and then at S213, a keyword relating to the type of information is extracted. If the extraction is performed (Yes), a keyword related to the information update time is extracted in S214, and if the extraction is not possible, (N
o), proceed to the next step using the current time as a keyword. Next, information contents are extracted in S216, and the process proceeds to map position extraction processing S220.

In the map position extraction processing S220, processing is performed according to the flow shown in FIG. According to the input from the keyword extraction processing 210, a keyword related to the position information is input in S211 and map data including the position indicated by the keyword related to the position is extracted in S222, and the input of the map data is completed in S223. If the input has been confirmed and the input has been completed (Yes), the process returns to the input of the keyword related to the next position. If the input has not been completed (No), the matching between the keyword and the position indicated by the map data is confirmed in S224, and if the input does not match (No) ) Returns to the input of the map data again. If they match (Yes), the target map data is determined in S225, and the process is moved to the data correspondence inspection process S230 together with the keyword and information content.

In the data correspondence inspection processing S230, the processing is performed according to the flow shown in FIG. From the input information from the map position extraction processing S220, keywords relating to map data, information type, and information update time are input in S231. In S232, the combination data 205 to S225
The combined data 205 to be combined with the determined map data is extracted and input, and the completion of the input of the combined data 205 is confirmed in S233. If the input is completed (Yes), the process returns to S231 and waits for the input of the next keyword. If not completed (N
o) In S234, it is confirmed whether or not the position indicated by the map data input in S231 matches the map position of the extracted combined data. If they do not match (No), the process returns to S232 to extract the combined data again. input. If they match (Yes), the type of information and the update time are extracted from the combined data existing at the position indicated by the map data in S235, and the completion of the extraction from the combined data is confirmed in S236, and the process is not completed. If it is (No), it is determined in S237 whether or not the type of information of the combined data matches the type of the distributed information. If not (No), the distributed information is a new type of information, so the flow proceeds to S239. The data is sent and determined as data that needs to be updated. If the types of information match, (Ye
s) The update time is compared in S238, and if the update time of the distributed character information is newer (Yes), it is sent to S239 to determine it as data that needs to be updated. Sent to combined data 206. S23
If it is determined in step 6 that the comparison of all the extracted data has been completed (Yes), the data determined to need updating in S239 is sent to the next information combining process S240.

In the information combining process S240, the process is performed according to the flow as shown in FIG. In S241, map data is input, and in S242, a keyword related to the type of information that needs to be updated and the information update time, and information content are input. In S243, the map data, the keyword relating to the type of information and the update time of the information, and the information content are combined, and in S244, the content is output to the combined data 206 and the content is updated.

FIGS. 8 to 11 are flow charts showing the more detailed processing flow of each processing of the map browsing processing S202 described above. 8 is a flowchart showing the detailed processing flow of the search word extraction processing S250, FIG. 9 is the map extraction processing S260, FIG. 10 is the combined data search processing S270, and FIG. 11 is the display control processing S280. S251 to S255 are S250 to S261 to S255.
266 is S260, S271 to S278 are S270
S281 to S283 are detailed steps of S280.

In search word extraction processing S250, processing is performed according to a flow as shown in FIG. When the character string of the search sentence 207 is input from the information receiver in S251,
In S252, location information is extracted, and then in S253, keywords related to the type of information are extracted. When extraction is performed (Ye
In s), a keyword relating to the time required for information is extracted in S254, and if the keyword cannot be extracted (No),
If the current time is set as a keyword in S255 and extraction is possible (Yes), the extracted keyword is sent to the map extraction processing S260 together with the position information and the information type keyword.

In the map extraction processing S260, processing is performed according to a flow as shown in FIG. In S261, a keyword related to position information among the information input from the search word extraction processing S250 is input, and in S262 and S263, the map data 204 including the position indicated by the keyword related to the position is extracted from the map database. It is checked whether the location indicated by the extracted map data matches the keyword related to the input location,
If they match (Yes), map data is determined in S265, the degree of detail of the map to be displayed is determined from the area of the map data in S266, and the process proceeds to the combined data search process S270.

In the combined data search process S270, the process shown in FIG.
The processing is performed according to the flow shown in FIG. At S271, keywords relating to map data, types of information, and time required for information are input. Joined database 2 in S272
05, the combined data 205 existing at the position indicated by the map data is extracted. S27
It is confirmed in step 3 that the extraction of the combined database has been completed, and if the extraction has not been completed (No), it is checked whether the map position of the combined data 205 matches the map data input in S271, and if it matches (Yes). , S275, the type of information, the required time of the information, and the information content are extracted from the combined data,
If the extraction is not completed in S276 (No), it is verified whether the type of information and the update time of the combined data match the type of information and the required time of the information input from the search sentence 207, and a match is found. For example, it is sent to S278 and determined as data to be displayed. If the extraction is completed in S276 (Yes),
The data determined to be displayed in S278 is the display control processing S
280.

In the display control process S280, the process is performed according to the flow shown in FIG. In S281, the map data and the level of detail are input. In S282, the type of information, the required time of the information, and the content of the information are input. In S283, the content of the information is displayed on the map data of the level of detail. It is transmitted to the information recipient who transmitted the search text 207.

As described above, when the present invention is used, FM text broadcasting, T
Character information distributed from teletext broadcasting such as V-teletext broadcasting can be displayed on a map corresponding to the position desired by the information receiver. This information list and search efficiency can be improved. Can be enhanced.

FIG. 12 to FIG. 17 show the processing procedure described above as an example.
FIG. 7 is a diagram for explaining the combined data.

FIG. 12 is a flowchart of a distribution information-map combining process when a general weather forecast is distributed as character information of text multiplex broadcasting. FIG. 13 shows information data combined with map data. It is a flowchart of the map browsing process provided in the form according to the request of the information receiver. In the figure, reference numeral 401 denotes distributed character information, 402 denotes a keyword of the distributed character information, 403 denotes map data,
404 is the combined data, 405 is the updated combined data,
Reference numeral 501 denotes a test sentence sent by the information receiver, 502 denotes a search word extracted from the search sentence, 503 denotes map data, 50
4 is the combined data, 505 is the display of the search result, and S2
01, S210, S220, S230, S240, S2
02, S250, S260, S270, and S280 are shown in FIG.
Are the steps corresponding to

The flow of the distribution information-map combining process in FIG. 12 is as follows. Now, it is assumed that character information 401 “Northern Kanagawa Prefecture cloudy weather, precipitation probability 20%” is distributed at 3:00 pm as character information of text multiplex broadcast distribution.

In the keyword extraction processing S210, the character information 401 "Northern Kanagawa Prefecture cloudy weather precipitation probability 2"
From 0%, a keyword 402 relating to the type of information, location information, and information update time is extracted. In this embodiment, the type of information is “weather forecast”, the location information is “Northern Kanagawa”, and the information The update time is “3:00 pm”, and is sent to the next process together with the information content, here, “cloudy weather precipitation probability 20%”.

In the next map position extraction processing S220, the keyword 40 extracted in the keyword extraction processing S210
Using the position represented by the keyword “Northern Kanagawa Prefecture” related to the position information 2, the corresponding map data 4 from the map data
Extract 03.

In the data correspondence inspection processing S230, the corresponding combined data 4 from the combined data already combined with the map data 403 extracted in the map position extraction processing S220.
04 is extracted from the extracted combined data 404 and keywords related to the information type and information update time of the keyword 402 extracted in the keyword extraction processing S210.
It is determined whether the information needs to be updated. In the present embodiment, information of the same information type “weather forecast” exists, but the information update time is “3 pm and 12:00 am”.
Then, it is determined that the update is necessary, and the process proceeds to the information combining process S240.

In the information linking process S240, the map data 403 extracted in the map position extracting process S220 is combined with the information type of the keyword 402 extracted in the keyword extracting process S210, the positional information, the keyword relating to the information update time, and the information. The contents are combined and output to the combined database as updated combined data 405. In this embodiment, the type of information is “weather forecast”, the location information is “Northern Kanagawa Prefecture”, the update time of the information is “3:00 pm”, the information content is “cloudy weather, precipitation probability 20%”, and The map data 403 is output.

The map browsing process flow of FIG.
It is as follows. Now, it is assumed that a search sentence of information "weather forecast of Kanagawa Prefecture" is transmitted from the information receiver.

In the search word extraction process S250, a search word 502 relating to the type of information, positional information, and the time required for the information is extracted from the search sentence 501 "Weather Forecast in Kanagawa Prefecture". In the present embodiment, a search word 502 indicating that the type of information is "weather forecast" and the position information is "Kanagawa prefecture" is extracted, and the necessary time of the information cannot be extracted.

In the next map extraction processing S260, the corresponding map data 503 is extracted from the map data by using the position represented by the keyword "Kanagawa" relating to the position information of the search word 502 extracted in the search word extraction processing S250. . Further, the area indicated by “Kanagawa Prefecture” is determined, and the detail level of the map used in the display control processing S280 is set to “wide area map”.
Is determined.

In the combined data search process S270, the combined data 504 already combined with the map data 503 extracted in the map extraction process S260 is extracted, and the extracted combined data 504 and the search word extraction process S250 are extracted. The search is performed from the keyword of the information type of the search word 502 and the time required for the information.
In the present embodiment, the location information "Kanagawa" is searched from the latest information having the information type "weather forecast",
"Northern Kanagawa prefecture, cloudy weather, precipitation probability 20%" and "Southern Kanagawa prefecture, cloudy precipitation probability 10%" are searched.

The result of the above processing is the display control processing S280.
The combined data 504 is displayed in the search result display 505 on the detail level determined in the map extraction processing S260, here, the “wide area map”, which is displayed using the map data 503. Is displayed as follows.

As described above, by preparing the map data, it is possible to list and search the character information distributed from the multiplex terrestrial data broadcasting such as the FM text broadcasting and the TV text broadcasting on the map. .

FIG. 14 is a flowchart of the distribution information-map combining process in the case where information judged to be unnecessary to update is included in the text information of the text multiplex broadcast distribution.
FIG. 5 shows a flowchart of the map browsing process when a plurality of information contents are displayed. In the figure, 601 is the distributed character information, 602 is the keyword of the distributed character information, 603 is map data, 604 is combined data,
605, unbound data; 701, a test sentence sent by the information recipient; 702, a search word extracted from the search sentence;
03 is the map data, 704 is the combined data, 705 is the display of the search result, S201, S210, S220, S220
230, S240, S202, S250, S260, S
Steps 270 and S280 correspond to those in FIG.

The flow of the distribution information-map combining process in FIG. 14 is as follows. Now, it is assumed that the character information of “X town 1-1-1 flaming at 3:00 pm” has been distributed as the character information of the text multiplex broadcast distribution.

In the keyword extraction process S210, keywords relating to the type of information, position information, and information update time are extracted from the character information 601 "X town 1-1-1 burning at 3:00 pm". Then, the type of information is "disaster", the location information is "X town 1-1-1", and the update time of the information is "3:00 pm". Sent to

In the map position extraction process S220, the corresponding map data 603 is extracted from the map data using the position indicated by the keyword relating to the position information of the keyword 602 extracted in the keyword extraction process S210. In this embodiment, since the keyword related to the position information of the keyword 602 is an address, 1
Point extraction is performed.

In the data correspondence inspection processing S230, the corresponding connection data 604 is extracted from the connection data already connected to the map data 603 extracted in the map position extraction processing S220, and the extracted connection data 604 and the keyword Keyword 602 extracted in extraction processing S210
It is determined whether or not the information needs to be updated based on the keyword of the information type and the information update time. In the present embodiment, the keyword regarding the update time of the information of the keyword 602 is “3:00 pm”, but the time information of the combined data 604 already combined is “4:00 pm”.
Therefore, it is determined that the information has already been updated to new information, and it is not necessary to update with the character information 601, and the content of the distributed character information is output to the uncombined data 605. The map browsing process flow of FIG. 15 is as follows. Now, from the information recipient, "× town information"
Is sent.

In the search word extraction processing S250, keywords related to the type of information, positional information, and the time required for information are extracted from the search sentence 701 "information of town". In the present embodiment, the search word 502 is extracted as “all” for the type of information and “x town” for the position information, and the time required for the information cannot be extracted.

In the map extraction processing S260, the position represented by the keyword “x town” related to the position information of the keyword 702 extracted in the search word extraction processing S250 is extracted as a range shown in the map data 703. Also, "×
The area indicated by "town" is determined, and the degree of detail of the map used in the map browsing search processing S206 is determined as "detailed map".

In the combined data search processing S270, the combined data 704 already combined with the map data 703 extracted in the map extraction processing S260 is extracted, and the extracted combined data 704 and the search word extraction processing S250 are extracted. The search is performed from the keyword of the type of information of the search word 702 and the time required for the information.
In the present embodiment, the location information “× town” is used for “all”
Information from the latest information and gourmet information “△ machi □
2-2-2 Delicious ramen shop XX shop 11:00
"-22: 00" and the traffic information "Prefectural road x Route XX from the intersection, direction xx, 3:00 pm, traffic jam" is retrieved.

The above processing result is used as the display control processing S280.
The combined data 704 searched is displayed on the search result display 705 on the detail level determined in the map extraction processing S260, which is displayed using the map data 703, here, the "detailed map". And so on.

As described above, by preparing the map data, it is possible to list and search the text information distributed from the multiplex terrestrial data broadcasting such as the FM text broadcasting and the TV text broadcasting on the map. .

FIGS. 16 and 17 show the case where the waiting time of each pavilion is provided by using the character information distributed in a closed area such as an amusement park or a theme park in the character information of the text multiplex broadcast distribution. FIG. 16 is a flowchart of a distribution information-map combining process when providing a waiting time for each pavilion using character information distributed in a closed area, and FIG. The flowchart of the map browsing process in the case of providing the waiting time of each pavilion using the displayed character information is shown. In the figure, reference numeral 801 denotes distributed character information, 802 denotes a keyword of the distributed character information, 803 denotes map data, 804 denotes combined data, 805 denotes updated combined data, 901 denotes an inspection sentence sent by the information receiver, 902 is a search word extracted from a search sentence, 903 is map data, 904 is combined data, 905 is a display of search results, and S201 and S21
0, S220, S230, S240, S202, S25
0, S260, S270, and S280 are steps corresponding to FIG.

The flow of the distribution information-map combining process in FIG. 16 is as follows. Now, it is assumed that the character information 801 of the waiting time of each pavilion as of 10:00 am in the xx amusement park has been distributed.

In the keyword extraction process S210, “Pavilion 1 wait time 10 minutes, Pavilion 2 wait time 2
0 minutes, Pavilion 3 Waiting time 60 minutes, Pavilion 4
From the character information 801A, B, C, and D "No wait time", keywords relating to the type of information, position information, and information update time are extracted. In this embodiment, the information types are all "wait time" and the position information. Is the "each pavilion" in the amusement park, the update time of the information is "10:00 am", and the information content, here "waiting time, 10 minutes, 20 minutes respectively"
Minutes, 60 minutes, none ".

In the map position extraction processing S220, the corresponding map data 803 is obtained from the map data by using the keyword relating to the position information of the keyword 802 extracted in the keyword extraction processing S210 and the position represented by “each pavilion” in the amusement park. Is extracted.

In the data correspondence inspection processing S230, the corresponding connection data 804 is extracted from the connection data already connected to the map data 803 extracted in the map position extraction processing S220, and the extracted connection data 804 and the keyword are extracted. Keyword 802 extracted in extraction processing S210
It is determined whether or not the information needs to be updated based on the keyword of the information type and the information update time. In this embodiment, since there is no combined data 804, it is determined that updating is necessary, and the process proceeds to information combining processing S240.

In the information combining process S240, the map data 803 extracted in the map position extracting process S220 is added to the information type, the position information, the keyword relating to the information update time of the keyword 802 extracted in the keyword extracting process S210, and The information contents are combined, and the updated combined data 805 is output to the combined database. In the present embodiment, the types of information are all “waiting time”, and the position information is ×
× "Each pavilion" in the amusement park, information update time is "10:00 am", information content is "waiting time, 10 minutes each,
20 minutes, 60 minutes, none "and the map data 803 are output.

The map browsing process flow of FIG.
It is as follows. Now, it is assumed that a search sentence of information "XX amusement park pavilion waiting time" is transmitted from the information receiver.

In the search word extraction process S250, keywords related to the type of information, positional information, and the time required for information are extracted from the search sentence 901 “XX Amusement Park Pavilion Waiting Time”. In the present embodiment, the search word 502 is extracted with the type of information being “waiting time” and the location information being “xx amusement park pavilions”, and the time required for the information cannot be extracted.

In the map extraction process S260, the position represented by the keyword “xx amusement park pavilion” relating to the position information of the keyword 902 extracted in the search word extraction process S250 is extracted as a range indicated by the map data 903. Further, the area indicated by “xx amusement park pavilion” is determined, and the degree of detail of the map used in the map browsing search processing S206 is determined to be “premise map”.

In the combined data search processing S270, the combined data 904 already combined with the map data 903 extracted in the map extraction processing S260 is extracted, and the extracted combined data 904 and the search word extraction processing S250 are extracted. A search is performed from a keyword related to the type of information of the search word 902 and the time required for the information.
In the present embodiment, the location information “xx amusement park pavilion” is searched from the latest information having the information type “waiting time”, and “pavilion 1 waiting time 10 minutes”, “pavilion 2 waiting time 20 minutes” "," Pavilion 3 wait time 60 minutes "," Pavilion 4 no wait time ".

The above processing result is used as the display control processing S280.
The combined data 904 searched is displayed on the search result display 905 on the map of the detail level determined in the map extraction processing S260 displayed here using the map data 903, in this case, the “campus map”. And so on.

As described above, by preparing the map data, it is possible to display and search the character information distributed from the terrestrial data broadcast of the text multiplex broadcast type such as the FM text broadcast and the TV text broadcast on the map.

Although the present invention has been described in detail with reference to the embodiments, the present invention is not limited to the above-described embodiments, and can be applied only to data broadcasting using TV character multiplex broadcasting, FM character multiplex broadcasting, or the like. No, CATV broadcasting, data broadcasting using satellite broadcasting, etc., mobile phones, wireless such as PHS,
Alternatively, it is needless to say that various changes can be made to the broadcast using a wire without departing from the gist of the broadcast.

[0083]

According to the text information processing and retrieval method of the teletext broadcasting of the present invention, various text information distributed from the teletext broadcasting type terrestrial data broadcasting can be listed and searched on a map. Information recipients collect information,
There is an effect that efficiency in searching can be increased.

Further, the type of the range of the map position to be combined is determined by using the keyword relating to the position information extracted from the distributed character information, thereby facilitating the management of the information on the map, the list and the search. In this case, since information of the required map position range is displayed, the time for acquiring the information can be reduced.

Using the information type and keywords related to the information update time extracted from the text information distributed from the teletext broadcast and the information already linked to the same position, the update of the distributed information is determined. By doing so, only the data that needs to be updated can be automatically selected, so that the work efficiency is improved, and the old information can be automatically updated every time information is distributed.

Further, the degree of detail of the map to be displayed is determined by using the keyword relating to the position information extracted from the search sentence, so that the map for displaying the information can be more easily viewed. .

[Brief description of the drawings]

FIG. 1 is a block diagram showing a main configuration of an apparatus for realizing character information filtering processing and retrieval using a map in text multiplex broadcast distribution according to the present invention.

FIG. 2 is a flowchart specifically showing processing performed in each unit of the block diagram shown in FIG. 1;

FIG. 3 is a schematic diagram illustrating a method of classifying the degree of detail of a search map.

FIG. 4 is a flowchart showing a detailed processing flow of keyword extraction processing S210.

FIG. 5 is a flowchart showing a detailed processing flow of a map position extraction processing S220.

FIG. 6 is a flowchart showing a detailed processing flow of a data correspondence inspection process S230.

FIG. 7 is a flowchart showing a detailed processing flow of information combining processing S240.

FIG. 8 is a flowchart showing a detailed processing flow of search word extraction processing S250.

FIG. 9 is a flowchart showing a detailed processing flow of map extraction processing S260.

FIG. 10 is a flowchart showing a detailed processing flow of a combined data search processing S270.

FIG. 11 is a flowchart showing a detailed processing flow of a display control process S280.

FIG. 12 is a flowchart of a distribution information-map combining process when a general weather forecast is distributed as text information of text multiplex broadcast distribution.

FIG. 13 is a flowchart of a map browsing process for providing information data combined with map data in a form according to a request of an information receiver.

FIG. 14 is a flowchart of a distribution information-map combining process in a case where information judged to be unnecessary to update is included in character information of text multiplex broadcast distribution.

FIG. 15 is a flowchart of a map browsing process when a plurality of information contents are displayed.

FIG. 16 is a flowchart of a distribution information-map combining process when providing a waiting time for each pavilion using character information distributed in a closed area.

FIG. 17 is a flowchart of a map browsing process when providing a waiting time for each pavilion using character information distributed in a closed area.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 101 Delivery information-map combination processing part 102 Map browsing processing part 103 Distribution character information database 104 Map database 105 Connection database 106 Unconnection database 107 Search sentence 110 Keyword extraction processing part 120 Map position extraction processing part 130 Data correspondence inspection processing part 140 Information Combination processing unit 150 Search word extraction processing unit 160 Map extraction processing unit 170 Combined data search processing unit 180 Display control processing unit 203 Distribution character information character string 204 Map data coordinate point string character string 205 Combined data coordinate point string character string 206 Not combined Data coordinate point string character string 207 Search sentence character string 401, 601, 801 Distributed character information 402, 602, 802 Distributed character information keyword 403, 503, 603, 703, 803, 903
Map data 404, 504, 604, 704, 804, 904
Combined data 405, 805 Updated combined data 501, 701, 901 Test sentence 502, 702, 902 Search word 505, 705, 905 Search result display 605 Uncombined data S201 Distribution information-map combining process S202 Map browsing process S210 Keyword extraction processing S220 Map position extraction processing S230 Data correspondence inspection processing S240 Information combination processing S250 Search word extraction processing S260 Map extraction processing S270 Combined data search processing S280 Display control processing S211 to S216 Detailed steps of S210 Detailed steps of S221 to S225 S220 Steps S231 to S239 Detailed steps of S230 S241 to S244 Detailed steps of S240 S251 to S255 Detailed steps of S250 S261 to S266 S26 Detailed detailed detailed steps of step S281~S283 S280 of step S271~S278 S270 of

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Claims (4)

[Claims] 1. A method of processing and retrieving text information delivered from a teletext broadcasting of a text multiplex broadcasting type, which is performed for listing and retrieving information recipients, comprising: a map database of a required area; A combination information database for information combined with the map database by a keyword related to information, wherein a keyword related to a type of information, position information, an update time of information, and information content are extracted from the character information. A procedure, a second procedure of extracting a map of a position represented by a keyword relating to the location information extracted in the first procedure from the map database, and a second procedure of extracting a map of the location extracted by the second procedure. Extracting information that has already been combined from the combined information database,
The type of information extracted from the distributed character information, the keyword related to the update time of the information, and the type of information included in the information extracted from the combined information database corresponding to the keyword, and the update time of the information, A third procedure for determining whether or not the information needs to be updated; and if it is determined in the third procedure that the information needs to be updated, the information that has already been combined is updated and the character is updated. The type of information extracted from the information, the position information, the keyword related to the update time of the information, and the information content are stored in the second
And a fourth step of combining with the map extracted in the above procedure and storing the combined information in the combined information database, and a method of processing a character information by a map, and a character string transmitted by the information receiver. A fifth step of inputting a search sentence to be searched, and extracting a keyword relating to the type of information, position information, and time required for information from the search sentence, and a step relating to the position information extracted in the fifth step. A sixth step of determining the degree of detail of the map to be displayed from the keyword and extracting a map of the position represented by the keyword relating to the position information from the map database; and combining the map with the map extracted in the sixth step. Information extracted from the combined information database, and using the keyword relating to the type of information extracted from the search sentence and the time required for the information. A seventh procedure for searching for information to be displayed from the extracted information; and information to be displayed searched for in the seventh procedure, of the search sentence extracted in the sixth procedure. An eighth procedure for displaying on a map having a degree of detail corresponding to position information, and a search method for text information having: a text information processing and search method for text multiplex broadcasting. 2. The method according to claim 2, wherein the position represented by the keyword represents one point of a map included in a map database or an area based on a keyword related to the position information extracted from the distributed character information. The text information processing and retrieval according to claim 1, wherein a determination is made as to whether the information is to be represented, and the third means determines a range of information to be extracted from information already combined in the combination information database. Method. 3. The method according to claim 3, wherein the determination as to whether or not the information needs to be updated in the third step includes determining whether the keyword of the type of the information extracted from the distributed character information is the same as the keyword.
If the information extracted from the combination information database does not exist, it is automatically determined that an update is necessary. If there is the same keyword, the update time of the information extracted from the distributed character information and the combination 2. The method according to claim 1, further comprising comparing the update time of the information extracted from the information database and automatically determining that the update is necessary if the update time of the information extracted from the distributed character information is newer. 3. A method for processing and searching for text information of teletext broadcasting according to claim 2. 4. The method of determining the degree of detail of the map in the sixth step is based on the classification of the degree of detail preset for the keyword based on the size and designated point of the area indicated by the keyword of the assumed position information. The method of processing and searching for text information of teletext broadcasting according to any one of claims 1 to 3, wherein the text information is processed.