JP2000235540A - Method and device for automatically filtering information using url hierarchy structure - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve the rate of a correct answer and a reproduction rate by executing automatic filtering on whether HTML information is appropriate or not based on an extracted word and inhibiting the supply of HTML information when HTML information is judged to be inappropriate as the result of automatic filtering. SOLUTION: An HTML document being HTML information supplied from an input part 1 through internet is inputted. It is judged whether the URL of the HTML document is a high-order page or not. When it is high-order URL as the result, a word extraction part 3 extracts a word in the document that high-order URL indicates and automatic filtering is executed based on the extracted word. It is judged whether information is harmful or not. When information is harmful from the judgment, high-order URL is registered in the harmful high-order page table of a harmful high-order page table storage part 11 and the supply of information is inhibited.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention identifies inappropriate information, for example, harmful information such as pornographic images, among various information provided via the Internet, and prevents provision of the identified inappropriate information. More specifically, the present invention relates to a method and apparatus for automatically filtering harmful information, and more particularly, to an automatic information filtering method using a URL hierarchical structure for determining inappropriate information based on a URL structured in a hierarchical structure and preventing presentation of the inappropriate information, and Related to the device.

[0002]

2. Description of the Related Art With the rapid spread of the Internet,
Computers, which were only tools of a limited number of experts, have begun to be introduced to ordinary homes and schools. This has made it possible for many ordinary people who had never even touched a computer to easily access the Internet. Against this background, children's access to harmful information such as pornographic images flooding the Internet has become a serious problem in recent years. To address this issue, the United States proposed a law called the Telecommunications Quality Act, which allowed government agencies to censor information on the Internet, but as a result of a trial, it violated the constitution that guarantees freedom of expression He was ruled and was unable to legislate.

[0003] Recently, a technique called "information filtering" has attracted attention. Information filtering is a technique in which when a user accesses information on the Internet, the harmfulness of the information is checked, and if the information is determined to be harmful, access to the information is blocked by some means.

[0004] Techniques adopted by currently available harmful information filtering software are roughly classified into the following three.

(1) Filtering based on self-determination (2) Filtering based on determination by a third party (3) Automatic filtering Here, these three methods will be briefly described. First, in the filtering method based on self-determination, a provider of WWW information determines the harmfulness of its own content, and describes the result in an HTML file. The filtering software refers to the described result, and blocks access if it is determined to be harmful. FIG. 6 shows filtering by this method.

[0006] In the filtering based on the self-determination shown in FIG.
PICS (Platform for Int) created by eb Consortium
It uses a criterion for describing Internet content ratings called ernet Content Selection. By using PICS, a content provider can easily depict and disclose information provided by the content provider.

In many cases, when a content provider publishes such an evaluation result, the service of an evaluation organization that outputs the evaluation result by PICS is used. On behalf of such evaluation agencies, Recreational Software Adviso
There are organizations such as the ry Council (RSAC) and SafeSurf, which provide evaluation results based on their own set of standards. The content provider describes the evaluation results from these institutions in the header of the HTML file. FIG. 7 shows a description example of this evaluation result.

[0008] At present, the self-determination is left to the independence of the content provider. Therefore, it can be said that effective harmful information filtering by this method is impossible unless many content providers have a will to receive this determination.

Next, the filtering based on the judgment by the third party will be described. Among companies that create harmful information filtering software, a method of independently determining the harmfulness of a homepage on the WWW and using the result as a criterion for the filtering software is adopted. Generally, as a result of this evaluation, the UR of the harmful website
An L list is constructed. This list of URLs is distributed to the user together with the filtering software, and serves as a criterion for the filtering software. In many cases, filtering software is designed to periodically download the harmful URL list. FIG. 8 shows a mechanism of harmful information filtering based on a judgment by a third party.

A typical example of software having such a mechanism is CyberPatrol. CyberPat
rol has a list of harmful URLs for 13 genres such as "violence" and "sex", and performs harmful information filtering according to these systems.

Since the list of harmful URLs used in this method is created and expanded by accessing the homepage of each software company and making a judgment, the list of harmful URLs is changed from a newly established homepage or a conventional URL to another URL. It is impossible to deal with the moved homepage. Therefore, at present, it is not possible to cope with filtering for pages that are not evaluated.

Next, automatic filtering will be described. Some harmful information filtering software checks the contents of the accessed homepage to determine harmfulness. Such ideas were introduced in early filtering software. For example, "s
When a character string such as "ex" or "xxx" is included in a URL, there is software that performs processing such as prohibiting access to the URL. Currently, software for verifying the contents of a page has been developed. Yes, CyberSITTE
R is one of the software that performs such automatic filtering. In this software, filtering is performed by a method of removing and outputting harmful words contained in the accessed page.

The method has two problems. The first is the processing time that occurs when performing this automatic determination. Although the processing time of this level is a short processing time of about several milliseconds, there is no denying that frustration may occur to the user even in such a short time.

Another problem is the accuracy of automatic filtering. First, when a judgment algorithm for judging harmfulness in word units is employed, there is a high possibility that many harmless pages will be blocked. In fact, there have been reports of evil cases such as blocking homepages about the town of Sussex in the UK. Further, when automatic filtering is performed by focusing only on text information in a page, there is a problem that it is impossible to block a page on which only an image is displayed.

[0015]

The main objectives of filtering software are to increase the rate at which harmful pages are blocked and to reduce the rate at which harmless pages are erroneously blocked. The percentage of blocked pages that were actually harmful is the precision,
Assuming that the ratio of blocked pages among the actually harmful pages is recall, the purpose of the filtering software is to increase both the correct answer rate and the recall rate.

Each of the above methods has advantages and disadvantages. The features of each method are summarized in terms of correct answer rate and recall rate. Table 1 shows the results.

[0017]

[Table 1] Thus, at present, sufficient filtering performance cannot be obtained with currently marketed filtering software.

Further, as described above, in the conventional automatic filtering, since the automatic filtering is performed by focusing on only the text information in the page, the page in which only the image is displayed with little or no text information is displayed. There is a problem that it is impossible to prevent.

The present invention has been made in view of the above,
The purpose is to use a URL with a hierarchical structure.
Utilizing a URL hierarchical structure that can improve both the correct answer rate and the recall rate by using the upper URL of, and can appropriately judge the inadequacy of the contents even for a small text page in which only an image is posted An object of the present invention is to provide a method and apparatus for automatically filtering information.

[0020]

In order to achieve the above object, the present invention according to claim 1 identifies inappropriate information among various types of information provided via the Internet, and identifies the inappropriate information. This is an information automatic filtering method for preventing provision, in which HTML information provided via the Internet is input, and it is determined whether or not the URL of the HTML information is a high-order URL.
L, the words appearing in the information indicated by the upper URL are extracted, and based on the extracted words, automatic filtering is performed on whether or not the information is inappropriate. As a result of the automatic filtering, If it is determined that the information is inappropriate, the upper URL is registered in an inappropriate upper URL list, and the provision of the information is prevented.
If the URL of the TML information is not the upper URL, this URL is added to each URL in the registered inappropriate upper URL list.
L to determine whether there is a matching URL,
If they match, the presentation of the information indicated by this URL is prevented,
If the URL does not match the URL in the list of inappropriate upper URLs, a word appearing in the information indicated by the URL is extracted, and whether the information is inappropriate is determined based on the extracted word. The gist of the present invention is to perform automatic filtering, and to block the provision of the information when it is determined that the information is inappropriate as a result of the automatic filtering.

According to the first aspect of the present invention, when the URL of the input HTML information is a high-order URL, the information indicated by the high-order URL is automatically filtered, and as a result, the information becomes invalid. If appropriate, register the upper URL in the list of inappropriate upper URLs and prevent the provision of the information. If not, check the URL against each URL in the list of inappropriate upper URLs.
If there is a matching URL, the presentation of the information indicated by this URL is prevented, and if there is no matching URL, automatic filtering is performed on the information indicated by the URL, and as a result, if the information is inappropriate, In order to prevent the provision of the information, it is possible to accurately determine and prevent inappropriateness even in a small text page in which only an image is presented, thereby improving both the correct answer rate and the recall rate. .

Further, the present invention according to claim 2 provides the invention according to claim 1.
In the invention described in the above, a URL providing inappropriate information is registered as an inappropriate URL list, and a URL of the inputted HTML information is registered in each URL of the inappropriate URL list.
L to determine whether there is a matching URL,
If they match, the gist is that filtering based on a third-party determination that prevents the presentation of the information indicated by the URL is further performed.

According to the second aspect of the present invention, a URL that provides inappropriate information is registered as an inappropriate URL list, and the URL of the HTML information is checked against each URL in the inappropriate URL list. If there is a matching URL, to further perform filtering based on a third-party determination that prevents the presentation of the information indicated by this URL, the filtering based on the third-party determination and the automatic filtering using the upper URL are further performed. Complete filtering can be performed.

Further, the present invention according to claim 3 is an information automatic filtering device for identifying inappropriate information among various types of information provided via the Internet, and preventing provision of the identified inappropriate information. Input means for inputting HTML information provided via the Internet, high-order URL determining means for determining whether or not the URL of the input HTML information is a high-order URL;
If the result of the determination by the determining means is that the URL is a high-order URL, a word appearing in the information indicated by the high-order URL is extracted, and based on the extracted word, whether or not the information is inappropriate is automatically determined. A first automatic filtering means for performing filtering, and a result of the automatic filtering;
If it is determined that the information is inappropriate, the presentation of the information is prevented, and the upper URL is changed to the inappropriate upper U.
When the URL of the HTML information is not the upper URL as a result of the determination by the inappropriate upper URL list registration unit to be registered in the RL list table and the upper URL determination unit,
An inappropriate URL determining unit that checks the URL against each URL registered in the inappropriate upper URL list table to determine whether there is a matching URL, and as a result of the determination, determines whether the URL is inappropriate. If there is no URL that matches the URL registered in the upper URL list table,
A second automatic filtering means for extracting a word appearing in the information indicated by L and automatically filtering whether or not the information is inappropriate based on the extracted word; As a result of the determination, the URL
UR registered in the inappropriate upper URL list table
L, the presentation of the information indicated by the URL is prevented, and if the information is determined to be inappropriate as a result of the filtering by the second automatic filtering means, the provision of the information is prevented. The gist of the present invention is to have an information presentation preventing means.

According to the third aspect of the present invention, when the URL of the input HTML information is a high-order URL, the information indicated by the high-order URL is automatically filtered, and as a result, the information becomes invalid. If the URL is appropriate, the upper URL is registered in the inappropriate upper URL list table, and the provision of the information is prevented. If the URL is not the upper URL, the URL is checked against each URL in the inappropriate upper URL list table. , If there is a matching URL, this URL
L to prevent the presentation of the information indicated by L and, if there is no match, perform automatic filtering on the information indicated by the URL. As a result, if the information is inappropriate, the provision of the information is prevented. The inadequacy of a small text page in which only an image is presented can be accurately determined and prevented, and both the correct answer rate and the recall rate can be improved.

According to a fourth aspect of the present invention, in the invention of the third aspect, an inappropriate URL list registering means for registering a URL providing inappropriate information in an inappropriate URL list table, and an input from the input means. Matching URL determining means for checking the URL of the HTML information to be performed with each URL registered in the inappropriate URL list table to determine whether there is a matching URL, and as a result of this determination, the matching URL In this case, the gist of the present invention is to further include filtering means based on a third-party determination for preventing presentation of the information indicated by the URL.

According to the present invention, a URL providing inappropriate information is registered as an inappropriate URL list table, and the URL of the HTML information is registered as an inappropriate URL.
Check each URL in the L list table for a matching URL
In order to further perform filtering based on a third-party determination that prevents the presentation of the information indicated by this URL, there is a more complete filtering by both the filtering based on the third-party determination and the automatic filtering using the upper URL. It can be carried out.

[0028]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram illustrating a configuration of an automatic information filtering apparatus using a URL hierarchical structure according to an embodiment of the present invention.

The information automatic filtering device shown in FIG. 1 identifies inappropriate information, for example, harmful information such as pornography, out of various information provided via the Internet, and prevents provision of the identified inappropriate information. And an input unit 1 for inputting HTML information provided via the Internet, a word extraction unit 3 for extracting words appearing in the input information, and an automatic filtering process for the extracted words and the information according to the present embodiment. A storage unit 5 that stores software to be executed and other various information, a word weight data storage unit 7 that stores word weight data, an automatic filtering unit 9 that performs automatic filtering, and a harmful table that stores a list of harmful top pages as a table. An upper page list table storage unit 11 and an output unit 13 that outputs a filtering result are configured. It is.

The automatic information filtering apparatus of this embodiment performs filtering of harmful information by using a higher URL among URLs having a URL hierarchical structure. First, the concept will be described.

As described above, one of the major problems of the automatic filtering is that it is difficult to filter a home page having little or no text information. In particular, pornographic harmful information pages are considered to contain many images with only images, so it is necessary to consider how to deal with these small text pages. However, a typical WWW user would follow a link to access an image-only page. If this assumption is true, access to the image page can be blocked by filtering the pages in the upper hierarchy up to the image page. A method for performing filtering on the upper-layer page will be described.

First, the page in the upper hierarchy is stored in the URL
Is a page ending with the seven strings listed below: (1) index.html (2) index.htm (3) index.shtml (4) welcome.html (5) welcome.htm (6) welcome. shtml (7) / For example, http://www.kdd.co.jp/index.html or http: // w
ww.asahi.com/ etc. are regarded as top pages. Of these top pages, those judged to be harmful by the filtering software are stored in a harmful top page list. At this time, instead of storing all of the URLs, the URLs up to the deepest directory among the URLs are stored. For example, if http: //www.###.co.jp/index.html is harmful, save http: //www.###.co.jp/ in the list and http: // www If. ###. co.jp/aaa/bbb/ccc/index.html is harmful, save http: //www.###.co.jp/aaa/bbb/ccc/ in the list.

When accessing a page other than the upper page, before the normal automatic harmfulness judgment, the URL described in the harmful upper page list is compared with the URL of the accessed page. As a result of the comparison, if the directory of the URL of the accessed page matches one of the URLs in the harmful upper page list, the page is regarded as harmful. For example, if http: //www.###.co.jp/ is included in the list of top harmful pages, http: //www.###.co.jp/a
Both aa / bbb.html and http: //www.###.co.jp/nantoka.html are considered harmful. On the other hand, if the data does not match the data in the harmful top page list, harmfulness is determined by automatic filtering software.

Based on the above-described concept, the automatic information filtering apparatus according to the present embodiment is configured to block harmful information. Next, the operation of the automatic information filtering apparatus using the URL hierarchical structure shown in FIG. 1 will be described with reference to the flowchart shown in FIG.

In FIG. 2, first, HTML, which is HTML information provided from the input unit 1 via the Internet,
When a document is input (step S11), it is determined whether or not the URL of the input HTML document is an upper URL, that is, an upper page (step S13). As a result of this determination, the URL of the HTML document is
In the case of, the document indicated by the upper URL, that is, the word appearing in the information is extracted by the word extraction unit 3, and the automatic filtering unit 9 performs automatic filtering based on the extracted word (step S15). A determination is made as to whether the information is harmful (step S1).
7).

As a result of the judgment on the harmfulness of the information of the automatic filtering, when the information is harmful, the upper URL is stored in the harmful upper page list table storage unit 11.
Is registered in the harmful upper page list table (step S21), the provision of this information is blocked (blocked), and the process is terminated (step S31).

On the other hand, if the result of determination in step S17 is that the information is not harmful, it is displayed on the browser by the output unit 13 and processing is terminated (step S1).
9).

If it is determined in step S13 that the page is not the upper page, if the URL is not the upper page, this URL is registered in the harmful upper page list table storage unit 11 as each harmful upper page list table.
Is checked (step S23), and it is checked whether there is a matching URL (step S25). As a result of this check, a URL that matches the harmful top page list table
If there is, the provision of the information indicated by the URL is prevented, and the process ends (step S31).

As a result of checking whether or not there is a matching URL in step S25, if there is no matching URL, a word appearing in the information indicated by the URL is extracted by the word extracting unit 3, and the extracted word is extracted. The automatic filtering is performed by the automatic filtering unit 9 based on the information (step S27), and it is determined whether the information is harmful (step S29).

As a result of the judgment on the harmfulness of the information of the automatic filtering, when the information is harmful, the provision of the information is stopped and the process is terminated (step S3).
1) If the result of determination in step S29 is that the information is not harmful, the information is displayed on the browser by the output unit 13 and the process is terminated (step S19).

In order to determine the effect of the automatic information filtering apparatus using the URL hierarchical structure of the above-described embodiment, the following evaluation experiment was performed.

As data for evaluation in this evaluation experiment, a large number of harmful pages were collected using software (“collection robot”) for automatically collecting data on the WWW. This collection robot has 290 harmful pages (of which,
HTML pages with links to (160 pages written in Japanese and 130 pages written in English) were launched, and the HTML documents that were accessed along the way were collected by following the links one by one. The data collected at this time is only an HTML document, and image data, audio data, and the like are not collected. As a result, 28034 HTMs
L documents were collected.

Next, the harmfulness of each collected HTML document was evaluated on a three-point scale by subjective evaluation.
In addition, this evaluation is about the presence or absence of the sexual expression of each page. Table 2 shows the criteria for each evaluation stage.

[0044]

[Table 2] The results of the hazard assessment for the collected data are as shown in Table 3.

[0045]

[Table 3] Along with this hazard assessment, a survey was also conducted of the languages described on each page. Table 4 shows the results.

[0046]

[Table 4] In addition, out of this data,
The ratio of the data corresponding to the above to the total harmful data was also investigated. Here, it is assumed that the result of the harm evaluation is harmful data of level 2 or 3. Table 5 shows the results.

[0047]

[Table 5] Next, an algorithm of automatic filtering by the automatic filtering unit 9 used in the information automatic filtering device of the embodiment shown in FIG. 1, particularly an algorithm of automatic filtering used in the evaluation experiment will be described. This automatic filtering uses a vector space model used for information retrieval, automatic classification, and the like.

First, the HTML document input from the input unit 1 is represented by a vector space model. That is,
The n words representing all documents are selected, and each document is represented by an n-dimensional vector as in the following expression.

[0049]

(Equation 1) Each element of this vector is obtained by normalizing the frequency of occurrence of each word in the document d. To normalize the appearance frequency of words, a technique called TF ^* IDF represented by the following equation is used.

[0050]

(Equation 2) Here, tf _di is the frequency of word i appears in document d, N is the number of all the documents, df _i is the number of documents that word i appears.

The automatic filtering is performed by a linear discriminant function represented by the following equation, and a total sum Dis (d) of word weights is calculated by this function.

[0052]

(Equation 3) Here, w _i is the weight for each word i, f _di is the value of the above equation (3), and is the f _di value of each word in the document.

From the above equation (3), the sum Dis (d)
Is greater than 0, the document is deemed harmful; if it is less than 0, it is determined to be harmless.

The weight for each word i described above is set such that when the document d is harmful, the total sum Dis (d)> 0, and when it is harmless, the total sum Dis (d) ≦ 0.

Next, the setting of the weight of the word will be described with reference to FIG.
This will be described with reference to the flowchart shown in FIG. The learning of the weight of this word is perceptron learning algorithm
(PLA).

In FIG. 3, first, various parameters are set (step S51). This parameter includes
A set of weights W = (w ₁ ,..., W _n ) of each word, N pieces of learning data E = {d ₁ ,..., D _N }, a constant η, a maximum number of learnings Max, and a learning process shown in FIG. There is a learning number m to be repeated.

Next, a set W of word weights is initialized (step S53). In this initialization, a random number is input as the weight of each word. Then, the sum Dis (d) of the word weights is calculated for all the learning data by the above equation (3) (step S55).

Then, as a result of this calculation, it is checked whether or not the total sum Dis (d) ≦ 0 for all harmless documents d and whether the total sum Dis (d)> 0 for all harmful documents d. (Step S57) If so, the process ends. If not, the weight change is performed on all the documents d classified in this way as shown in the following steps S61 and S63. The degree S is corrected (step S59).

That is, in step S61, the document d _i
Is a harmful and if the sum Dis (d) ≦ 0 corrects to increase the weight degree of change S, also in step S63, the document d _i is a harmless, and the sum D
If is (d)> 0, correction is made so as to reduce the weight change degree S.

Then, using the weight change degree S corrected in this way, the word weight set W is corrected as in the equation shown in step S65. Then, the learning number m is incremented by +1 (step S67), and it is checked whether the learning number m is smaller than the maximum learning number Max (step S69). If the learning number m is smaller than the maximum learning number Max, the process proceeds to step S55. Returning, the processing from step S55 is repeated until the condition shown in step S57 is satisfied.

Next, an evaluation experiment of the automatic information filtering apparatus using the URL hierarchical structure of the above-described embodiment will be described. This evaluation experiment includes the following three processes.

(1) Extraction of a word set expressing a document. (2) Learning weights for each word. (3) Final evaluation.

First, in the word extraction process, a morphological analysis was performed on 5912 documents described in Japanese from the collected data to extract nouns, proper nouns, and undefined words. Because we used morphological analysis software for Japanese,
English words included in the document are extracted as undefined words.
For this morphological analysis, a glossary of sexual expressions not included in the dictionary was created along with a standard Japanese dictionary and used. This glossary contains about 1000
The word of the word is registered. Further, among the extracted words, words whose appearance frequency in the entire data was 20 or less were removed. As a result, 8013 words were extracted.

In the weight learning, a part of the evaluation data was used. This learning data is composed of 18387 HTML documents. Of these, 92 are written in English.
There were 63 documents, 8171 documents written in Japanese, and 953 documents written in other languages. The final evaluation was performed on the entire evaluation data including the word extraction data and the learning data.

The evaluation results show that the HT with less text information
In order to prove the assumption that filtering of an ML document is difficult, filtering was performed on a document in which the total number of words appearing in one HTML document is equal to or smaller than a threshold min, and the correct answer rate and the recall rate were obtained. Table 6 shows the results.

[0066]

[Table 6] As is apparent from this result, as the number of words decreases, the accuracy rate does not change significantly, but the recall rate decreases significantly. Therefore, it can be said that the assumption that filtering of a document having a small number of words is difficult is performed.

Next, the same evaluation data was filtered in consideration of the URL hierarchical structure, and the correct answer rate and the recall rate were similarly obtained. Table 7 shows the results.

[0068]

[Table 7] From these results, it has been clarified that the adoption of the automatic filtering method according to the present invention has significantly increased the recall while maintaining a high accuracy rate. From these results, it can be said that the effectiveness of the present invention has been proved.

Next, an automatic filtering apparatus according to another embodiment of the present invention will be described with reference to FIGS. The automatic filtering device of this embodiment includes:
As described above, the information automatic filtering apparatus using the URL hierarchical structure described with reference to FIGS. 1 to 3 is configured to add a third-party determination filtering processing unit that performs filtering by third-party determination. , By combining the two filtering processes to achieve ideal filtering.

The automatic filtering device shown in FIG. 4 is used for the information filtering device 25 using the URL hierarchical structure described with reference to FIGS. Harmful U used to refer to the harmful URL in the part 23
An RL list table storage unit 17 is added.

The harmful URL list table storage unit 17 stores URLs providing harmful information as a harmful URL list table, and the third party judgment filtering processing unit 23 receives the URL from the input unit 1. The URL of the HTML document is collated with each URL registered in the harmful URL list table of the harmful URL list table storage unit 17 to determine whether there is a matching URL.

FIG. 5 is a block diagram showing a more detailed configuration of the automatic filtering device shown in FIG. The automatic filtering device shown in FIG. 5 includes an input unit 1, a word extraction unit 3, a storage unit 5, a word weight data storage unit 7, and an automatic filtering unit which constitute the information automatic filtering device using the URL hierarchical structure shown in FIG. 9. In addition to the harmful upper page list table storage unit 11 and the output unit 13, the harmful upper page list table storage unit 17 and the harmful URL list table storage unit 17 based on the URL list corresponding to the third party determination filtering processing unit 23 in FIG. ing.

In the filtering process performed by the automatic filtering device configured as described above, that is, in the filtering process performed by the information filtering device using the URL list and the URL hierarchical structure by the third-party judgment filtering unit, first, the input unit 1 The URL of the HTML document input from the URL is collated with each URL registered in the harmful URL list table of the harmful URL list table storage unit 17 to determine whether there is a matching URL. Then, the harmful URL list table storage unit 17
If the URL matches the URL registered in the harmful URL list table, the presentation of the information indicated by this URL is blocked.

Filtering unit 1 based on URL list
As a result of the determination made by referring to the harmful URL list table in No. 5, if there is no URL that matches the URL registered in the harmful URL list table in the harmful URL list table storage unit 17, information is automatically filtered using the URL hierarchical structure. The filtering by the device 25 is performed as described in FIGS.

As described above, in this embodiment, since both filtering based on the judgment by the third party and filtering using the URL hierarchical structure are performed, harmful information can be accurately detected and prevented.

[0076]

As described above, according to the present invention,
When the URL of the HTML information is the upper URL, the information indicated by the upper URL is automatically filtered. As a result, when the information is inappropriate, the upper URL is used.
Is registered in the list of inappropriate upper URLs, and the provision of the information is prevented. If the URL is not the upper URL, this URL is
Is checked against each URL in the list of inappropriate upper URLs. If there is a matching URL, the presentation of the information indicated by this URL is prevented. If there is no matching URL, the information indicated by the URL is automatically filtered. As a result, if the information is inappropriate, the provision of the information is prevented, so that even a small text page in which only an image is presented can be accurately determined and prevented from being inappropriate, Both the correct answer rate and the recall rate can be improved.

Further, according to the present invention, in addition to the automatic information filtering using the URL hierarchical structure, a URL providing inappropriate information is registered as an inappropriate URL list, and the URL of the HTML information is registered as an inappropriate URL. Each U in URL list
If there is a matching URL against the RL, this URL
Since the filtering based on the third party determination for preventing the presentation of the information indicated by L is further performed, the filtering can be more completely performed by both the filtering based on the third party determination and the automatic filtering using the upper URL.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a configuration of an automatic information filtering apparatus using a URL hierarchical structure according to an embodiment of the present invention.

FIG. 2 is a flowchart showing an operation of the automatic information filtering apparatus using the URL hierarchical structure shown in FIG.

FIG. 3 is a flowchart showing a procedure for setting word weights used in the flowchart shown in FIG. 2;

FIG. 4 is an explanatory diagram showing a schematic configuration of an automatic filtering device according to another embodiment of the present invention.

5 is a block diagram showing a detailed configuration of the automatic filtering device shown in FIG.

FIG. 6 is a diagram for explaining conventional filtering based on self-determination.

7 is a diagram showing an example of description of an evaluation result by RSACi and SafeSurf as an example of filtering based on self-determination shown in FIG. 6;

FIG. 8 is a diagram for explaining conventional harmful information filtering based on determination by a third party.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Input part 3 Word extraction part 7 Word weight data storage part 9 Automatic filtering part 11 Harmful upper page list table storage part 15 Filtering part based on URL list 17 Harmful URL list table storage part

 ────────────────────────────────────────────────── ─── Continuing on the front page (72) Inventor Kazuo Hashimoto 2-1-15 Ohara, Kamifukuoka-shi, Saitama F-term in Kadidi Laboratory Co., Ltd. (Reference) 5B075 KK60 KK63 ND36 5B089 HA10 JA22 JB02 KA04 KA12 KA17 KB07 KC15 KC52 KC53 LB08

Claims (4)

[Claims] 1. An automatic information filtering method for identifying inappropriate information among various types of information provided via the Internet and preventing the provision of the identified inappropriate information, wherein the HTML is provided via the Internet. Information is input, and it is determined whether the URL of the HTML information is a high-order URL. If the URL is a high-order URL, a word appearing in the information indicated by the high-order URL is extracted, and the extracted word is extracted. Based on the information, perform automatic filtering of whether or not the information is inappropriate. If the result of the automatic filtering is that the information is determined to be inappropriate, the upper URL is replaced with an inappropriate upper UR.
And registering the information in the L list, and preventing the provision of the information. If the URL of the HTML information is not the upper URL, the URL is compared with each URL in the registered inappropriate upper URL list to match. It is determined whether or not there is a URL. If the URL matches, the presentation of the information indicated by the URL is prevented. If the URL does not match the URL of the inappropriate upper URL list, the information appears in the information indicated by the URL. A word to be extracted, and based on the extracted word, perform automatic filtering on whether or not the information is inappropriate. As a result of the automatic filtering, when it is determined that the information is inappropriate, An information automatic filtering method using a URL hierarchical structure, characterized by preventing provision of information. 2. Registering a URL that provides inappropriate information as a list of inappropriate URLs and registering the input HTM
The URL of the L information is checked against each URL in the list of inappropriate URLs to determine whether there is a matching URL. If there is a match, the URL is determined based on a third party determination that prevents the presentation of the information indicated by the URL. 2. The method according to claim 1, further comprising performing filtering. 3. An automatic information filtering apparatus for identifying inappropriate information among various kinds of information provided via the Internet and preventing provision of the identified inappropriate information, wherein the HTML is provided via the Internet. Input means for inputting information; upper URL determining means for determining whether or not the URL of the input HTML information is a higher URL; as a result of the determination by the higher URL determining means, the URL is a higher URL In this case, a first automatic filtering means for extracting a word appearing in the information indicated by the upper URL and automatically filtering whether or not the information is inappropriate based on the extracted word; As a result, when it is determined that the information is inappropriate, the presentation of the information is prevented and the upper URL is inappropriate. And inadequate upper URL list registration means for registering the upper URL list table, the result of the determination by the upper URL determination means, the HTM
If the URL of the L information is not the upper URL, this URL
L against the respective URLs registered in the inappropriate upper URL list table to determine whether there is a matching URL, and as a result of this determination, the URL If there is no URL that matches the URL registered in the URL list table, a word that appears in the information indicated by the URL is extracted, and based on the extracted word, whether or not the information is inappropriate is automatically determined. A second automatic filtering means for performing filtering, and a result of the determination by the inappropriate URL determination means,
L is registered in the inappropriate upper URL list table
If it matches the RL, the presentation of the information indicated by the URL is prevented, and if the information is determined to be inappropriate as a result of the filtering by the second automatic filtering means, the provision of the information is prevented. An automatic information filtering apparatus using a URL hierarchical structure, characterized by comprising information presentation blocking means. 4. An inappropriate URL list registering means for registering a URL providing inappropriate information in an inappropriate URL list table, and a URL of the HTML information input from the input means.
For each U registered in the inappropriate URL list table.
A matching URL determining unit that checks against the RL to determine whether there is a matching URL; and, as a result of the determination, if there is a matching URL, the URL
4. The automatic information filtering apparatus using a URL hierarchical structure according to claim 3, further comprising a filtering means based on a third-party determination for preventing presentation of the information indicated by L.