JP2010218407A - Web content diagnosis method, web content diagnosis device, and web content diagnosis program - Google Patents

Abstract

Web content is diagnosed in consideration of the frequency of browsing problematic parts, and the burden on the web viewer is reduced.
A content acquisition unit 7 of a diagnostic apparatus 1 acquires a web page instructed by a user terminal 2 from a content server 3. The diagnostic processing means 8 diagnoses the acquired web page according to the diagnostic rules stored in the diagnostic rule storage means 11, and extracts the problem part. The position information acquisition unit 9 acquires position information (such as the number of characters from the top) in the web page of the extracted problem part. The evaluation value calculation means 10 calculates the evaluation value of the web page to be diagnosed according to the position information of the problem location. This evaluation value is presented to the user terminal 2.
[Selection] Figure 1

Description

  The present invention relates to a technique for diagnosing / evaluating content documents on the web in accordance with diagnostic rules.

  In recent years, with the widespread use of the Internet due to the development of information communication equipment, information distribution through the Internet, that is, content documents (web pages) on the web has become one of the information sources in daily life.

  For this reason, the content document is required to consider so-called accessibility that can be accessed by users (web viewers) having various characteristics such as elderly people and visually impaired people.

  However, many content documents often consider only web viewers who can “obtain information visually by eye and operate using a mouse”. Therefore, web accessibility guidelines (hereinafter referred to as “guidelines”) describing matters that should be considered from the viewpoint of accessibility during content creation are issued to content creators.

  For example, WCAG 1.0 (Web Content Accessibility Guidelines 1.0) by W3C (World Wide Web Consortium) and JIS X 8341-3 “Design Guidelines for Consideration of Elderly Persons and Persons with Disabilities—Information Communication Equipment, Software , And service ". In addition, as shown in Non-Patent Document 1.2, an accessibility diagnostic tool has been developed that diagnoses content documents based on the above guidelines and automatically extracts problematic parts from the viewpoint of accessibility, that is, parts to be corrected. Yes.

  In this way, mechanisms and technologies that support the work to improve the accessibility of content documents have been developed, but at present, accessibility considerations are not sufficient, and elderly people and persons with disabilities are browsing the content document. We often encounter obstacles, which increases the burden.

  Therefore, an approach in which a third party diagnoses an accessible website and certifies an accessible level according to the degree of accessibility of the website is also being considered. For the web viewer, the burden is reduced by selecting a website to be used based on the authorization level.

  In order to certify according to the accessibility consideration level of the content document, a quantitative evaluation value that quantifies the consideration level is required. In order to obtain the evaluation value, the content document is diagnosed according to a plurality of diagnostic items prepared in advance, and the evaluation value is calculated according to the result. For example, in Non-Patent Document 2, the evaluation value is calculated using the following formula (1).

Daisuke Asai, Masahiro Watanabe, Yoko Asano “Development of Web Accessibility Improvement Tool” Human Interface Symposium 2006 Proceedings of Human Interface Society (2006), 1135-1138. Bambang Parmanto, Xiaoming Zeng. “Metric for Web accessibility evaluation” Journal of the American Society for Information Science and Technology, Volume 56 Issue 13, Pages 140 943.

  However, since the conventional diagnostic tool evaluates the content document without considering the browsing frequency of the problem part, there is a possibility that the obstacle encountered during browsing cannot be solved sufficiently.

  That is, the web viewer tends to browse from the upper part to the lower part of the content document, and the part (including the title) located at the upper part of the content document has an opportunity to be viewed from the part located at the lower part. Many browsing opportunities vary depending on the location in the content document.

  In particular, a blind web browser browses a content document by hearing using a voice browser, but the browsing order follows the order in the content document, so the browsing opportunity of the top part is inevitably increased.

  The probability of affecting the web viewer is higher in the web accessibility problem part included in the part that is browsed frequently and the problem part included in the part that is less viewed. Therefore, from the standpoint of the web viewer, it is desirable that the problem is corrected with priority from the frequently viewed parts.

  However, the content provider tries to increase the value of the evaluation value (WAB score) of Expression (1) in order to obtain good accessibility certification. According to Expression (1), the problem part included in any part in the web content is treated equally, and the evaluation value that increases even if any problem part is corrected is the same.

  Moreover, there are many variations in the ease of correcting the problem part, and the content provider often corrects from the problem part that can be easily corrected in order to improve the evaluation value efficiently.

  As a result, content documents have been modified in an order that is different from the order of problems that web viewers should be respected by nature, and this has not fully eliminated the obstacles encountered especially during browsing by elderly and disabled people, There was a risk that it would not contribute to reducing the burden of browsing.

  The present invention has been made in order to solve the above-mentioned problems, and it is a problem to be solved by diagnosing a content document in consideration of the frequency of browsing the problem part and reducing the burden on the web viewer. .

  Therefore, in order to solve the above-described problem, the present invention obtains the evaluation value of the content document by reflecting the position information where the problem location exists. Here, the evaluation value is lowered as the problem location is located higher in the content document.

  One aspect of the present invention is a method for diagnosing / evaluating a content document on the web instructed from a user terminal according to a diagnostic rule, wherein the content acquisition means sends the content document instructed by the user terminal from the web via a network The content acquisition step acquired in step (b), the diagnosis processing acquisition unit diagnoses the acquired content document in accordance with the diagnosis rule, and extracts a problem portion of the content document, and the position information acquisition unit includes the extracted problem. A position information acquisition step of acquiring position information in the content document, and an evaluation value by which the evaluation value calculation means calculates an evaluation value of the content document according to the position information for presentation to the user terminal A calculation step.

  Another aspect of the present invention is an apparatus that diagnoses and evaluates a content document on the web instructed from a user terminal according to a diagnostic rule, and acquires the content document instructed by the user terminal from the web via a network. Content acquisition means, diagnosis processing means for diagnosing the acquired content document in accordance with the diagnostic rule, and extracting a problem location of the content document, and position for acquiring position information of the extracted problem location in the content document An information acquisition unit; and an evaluation value calculation unit that calculates an evaluation value of the content document according to the position information for presentation to the user terminal.

  The present invention may be in the form of a web content diagnostic program that causes a computer to function as the device, or may be provided in the form of a recording medium that records the program.

  According to the present invention, since the evaluation value of the content document reflecting the position information of the problem location is presented, in order to obtain high evaluation, it is necessary to make a correction in consideration of the position information of the problem location. This reduces the burden on the web viewer.

The lineblock diagram of the web contents diagnostic device concerning a 1st embodiment of the present invention. A chart showing the same diagnostic processing steps The chart figure which shows the diagnostic process step of the web content diagnostic apparatus which concerns on 2nd Embodiment of this invention. The chart figure which shows the diagnostic process step of the web content diagnostic apparatus which concerns on 3rd Embodiment of this invention. The schematic diagram which shows an example of the DOM structure of the web page. The schematic diagram which shows the problem location on the DOM structure of FIG.

  According to the present invention, a content document (web page) designated by a web viewer is acquired from a website. The acquired content document is diagnosed according to the diagnosis rule, and the problem part is extracted.

  The position information existing in the content document at the problem location is digitized, and an evaluation value is calculated from the position information. Here, the evaluation value increases as the numerical value of the position information decreases, and the degree of inappropriateness of the problem location is increased.

(1) 1st Embodiment As shown in FIG. 1, the web content diagnostic apparatus 1 which concerns on 1st Embodiment of this invention is connected with the user terminal 2 and the content server 3 so that communication is possible via the internet. The diagnostic apparatus 1 uses a content document of a website managed by the content server 3, that is, a web page as a diagnosis target.

  The user terminal 2 may be an information terminal provided with a browser for browsing web pages, such as a personal computer (PC), a mobile phone, or a PDA (Personal Digital Assistant). Here, it is assumed that the web viewer (user) inputs the URL (Uniform Resource Locator) of the web page to be diagnosed on the browser of the user terminal 2 and transmits it to the diagnostic apparatus 1 via the Internet.

  The diagnostic device 1 is constituted by a web server, and is a normal computer hardware resource, that is, a CPU (calculation means) 4, a hard disk drive device (HDD: storage means) 5, a memory (RAM: temporary storage means) 6, a display. (Presentation means) 12, a communication device (not shown) is provided.

  As a result of the cooperation between the hardware resource and the software resource (OS: Operation System, application, etc.), the diagnostic apparatus 1 includes content acquisition means 7 for acquiring a web page to be diagnosed from the content server 3 via the Internet. Diagnosing the acquired web page according to the diagnostic rules stored in the diagnostic rule storage unit 11 and extracting the problem part; and the position for acquiring the position information of the extracted problem part in the web page It functions as the information acquisition means 9 and the evaluation value calculation means 10 for calculating the evaluation value of the web page to be diagnosed according to the position information of the problem location.

  Here, the evaluation value calculation means 10 calculates the evaluation value using the number of characters from the top of the web page as the position information. The calculated evaluation value is transmitted to the user terminal 2 via the Internet through the communication device. The content acquisition means 7 is realized by the communication device, and the diagnostic rule storage means 11 is constructed in the hard disk drive (HDD) 5.

  Specifically, the diagnostic rule storage device 11 includes WCAG 1.0 (Web Content Accessibility Guidelines 1.0) by W3C (World Wide Web Consortium) and JIS X 8341-3 “Elderly Disability” by the Japanese Standards Association. Diagnostic rules such as “Considering Design Guidelines for Persons—Devices, Software, and Services in Information Communication” are stored.

  However, the diagnostic criteria are not limited to this, and can be changed according to the diagnostic contents as appropriate according to the setting and use. Hereinafter, the diagnostic processing steps of the diagnostic apparatus 1 will be described with reference to FIG.

  S101: When the URL of the web page to be diagnosed is input from the user terminal 2 via the communication device, the content acquisition unit 7 accesses the content server 3. Here, the web page to be diagnosed is acquired via the Internet.

  The acquired web page may be stored / saved in the hard disk drive (HDD) 5 or may be temporarily stored in the memory 6.

  S102: The diagnosis processing means 8 performs the diagnosis process for the web page acquired in S101. Here, it is assumed that diagnosis is performed using an existing diagnostic tool, for example, the support tool disclosed in Non-Patent Document 1.

  Specifically, the diagnosis processing means 8 reads the diagnosis rule from the diagnosis rule storage means 11, applies it to the diagnosis target web page, and determines that the diagnosis target web page is inappropriate. Extract the location. The problem part extracted here is temporarily stored in the memory 6.

  S103: The position information acquisition unit 9 acquires position information in which each problem location extracted in S102 exists in the web page to be diagnosed. Here, the number of characters from the beginning of the web page to be diagnosed to the problem location is acquired as position information and stored in the problem location table. This problem location table is constructed in the hard disk drive (HDD) 5.

  Table 1 shows an example of data stored in the problem location table. Here, each problem location of the diagnosis target web page is sorted in the order of the number of characters from the beginning of the sentence, and the number of the problem location and the position information p are stored in pairs. This position information p indicates the number of characters from the beginning of the sentence. In the stored data example of Table 1, position information p of problem part numbers 1 to 100 is shown.

  Specifically, problem location number 1 is indicated as “position information p = 34”, problem location number 2 is indicated as “position information p = 48”, and problem location number 3 is indicated as “position information p = 76”. The problem part number 4 is indicated as “position information p = 103”, and the problem part number 100 is indicated as “position information p = 1221” (problem part numbers 5 to 99 are omitted).

S104: The evaluation value calculation means 10 refers to the problem location table (Table 1) generated in S103 and calculates the evaluation value of the web page to be diagnosed. Here, the position information p _i is obtained from the problem location table, and the evaluation value S is calculated by equation (2). This equation (2) is defined in the program.

According to the right term of the equation (2), since the reciprocal number of the position information p _i (number of characters from the beginning of the sentence) of each problem location is added, the smaller the value of the position information p _i , that is, the problem location closer to the beginning of the sentence. The value added to the evaluation value S (degree of nonconformity) increases. Therefore, a situation where a good evaluation value S can be obtained is created by correcting from the problem location close to the beginning of the sentence.

In this equation (2), the reciprocal of the position information p _i is added, but the present invention is not limited to this condition, and the evaluation value S only needs to increase as the value of the position information p _i decreases. The evaluation value S can also be calculated by defining Equation (3) in the program.

  The evaluation value S calculated in this way is displayed on the browser of the user terminal 2 through the communication device via the Internet. Thereby, the web browser can recognize the accessibility consideration degree of the web page to be diagnosed.

  At this time, since the evaluation value S is evaluated according to the problem part close to the beginning of the sentence, that is, the order in which the influence on the web viewer is large, the web viewer selects the web page based on the evaluation value S. , Can avoid obstacles encountered during browsing.

  In addition, since the content provider can easily obtain a good evaluation value S if it is corrected from a problem location close to the beginning of the sentence, it is expected that correction will be made in the order of improvement in the quality of the web page. As a result, the web pages are corrected in the order of problem points that impede browsing, and the possibility that the web viewer encounters the obstacles while browsing is effectively reduced.

  Accordingly, it is possible to efficiently reduce the obstacles encountered while browsing the web page, to reduce the number of inquiries and complaints of the web viewer with respect to the web page, and to reduce the operation spent on the response.

  In the case of setting to notify the content server 3 of the calculated evaluation value S, the content provider can quickly correct the problem, and the obstacle of the web viewer can be eliminated early in this respect.

(2) Second Embodiment In the second embodiment of the present invention, the priority of the diagnostic rule corresponding to each problem location is added to the evaluation value calculation method. Here, the apparatus configuration is the same as that of the diagnostic apparatus 1, and the calculated evaluation value is displayed on the browser of the user terminal 2. Hereinafter, the diagnostic processing steps of this embodiment will be described with reference to FIG.

  S201 to S203: Processes similar to S101 to S103 are executed. At this time, the problem location table of Table 2 is generated (S203). This problem part table has a priority w column added to the problem part table of Table 1. This priority w column is set for each problem location number.

  S204: The location information acquisition unit 9 sets a priority for the problem location in the problem location table (Table 2) generated in S203. Here, the priority of the diagnostic rule from which the problem part is extracted is acquired and described in the priority w field. The priority is set in advance for each diagnosis rule according to the importance level of the rule.

  Table 3 shows the data stored in the problem location table after the priority is described. Here, a problem location number, position information p, and priority w are stored in pairs.

  In the stored data example of Table 3, position information p and priority w of problem location numbers 1 to 100 are shown. Specifically, the problem location number 1 is indicated as “position information p = 34” / “priority w = 3”, and the problem location number 2 is indicated as “position information p = 48” / “priority w = 2”. The problem location number 3 is indicated as “position information p = 76” / “priority = 3”, and the problem location number 4 is indicated as “position information p = 103” / “priority = 4”. The location number 100 is indicated as “position information p = 1221” / “priority = 1” (problem location numbers 5 to 99 are omitted).

  The problem location table in Table 2.3 is constructed in the hard disk drive device in the same manner as in Table 1.

S205: The evaluation value calculation means 10 calculates the evaluation value of the web page to be diagnosed with reference to the problem location table (Table 3) in which the priority is added in S204. Here, the position information p _i and the priority w _{i of} the problem location number i are acquired from the problem location table, and the evaluation value S is calculated by the equation (4). This equation (4) is also defined in the program.

The right term of formula (4), as for adding the reciprocal of the position information P _i to the priority W _i of each issue point (the number of characters from the beginning of a sentence), a small value of the position information p _i (close to the beginning of a sentence), Moreover, the value (degree of nonconformity) added to the evaluation value S increases as the value of the priority w _i increases.

  Therefore, a situation where a good evaluation value S can be obtained is created by correcting a problem portion close to the beginning of the sentence and having a high priority. At this time, since the priority S is added to the evaluation value S, the influence on the web viewer is further greatly influenced.

  As a result, if the content provider makes corrections to obtain a good evaluation value S on the web page, the possibility that the web viewer will encounter a failure during browsing is further reduced. Further, if the web viewer selects a web page based on the evaluation value S, the obstacle encountered during browsing can be more efficiently avoided.

In Expression (4), the reciprocal of the position information p _i is added, but the present invention is not limited to this condition. It is sufficient that the evaluation value S increases as the position information p _i decreases. For example, the evaluation value S can be calculated by defining Equation (5) in the program.

(3) Third Embodiment In the third embodiment of the present invention, the evaluation value of a web page to be diagnosed is calculated using a hierarchy on a DOM (Document Object Model) structure as position information of a problem location. Here, the apparatus configuration is the same as that of the diagnostic apparatus 1, and the calculated evaluation value is displayed on the browser of the user terminal 2. Hereinafter, the diagnostic processing steps of the present embodiment will be described with reference to FIG.

  S301. S302: Here, S101. The same processing as S102 is executed, and the problem part of the web page to be diagnosed is extracted (S302).

  S303: The position information acquisition unit 9 acquires position information in which each problem location extracted in S302 exists in the web page to be diagnosed. This position information is the number of hierarchies in which each problem location exists in the DOM structure of FIG. The location information acquired here is stored in the problem location table in Table 4. This problem location table is constructed in the hard disk drive device in the same manner as in Tables 1-3.

  Table 4 shows an example of data stored in the problem location table, where problem location numbers and location information r (the number of layers in the DOM structure) are stored in pairs. Here, position information r of problem part numbers 1 to 100 is shown.

  Specifically, the problem part number 1 is indicated as “position information r = 3”, the problem part number 2 is indicated as “position information r = 2”, and the problem part number 3 is indicated as “position information r = 4”. The problem location number 4 is indicated as “position information r = 1”, and the problem location number 100 is indicated as “position information r = 2” (problem location numbers 5 to 99 are omitted).

  FIG. 6 illustrates the problem part of Table 4 on the DOM structure. Here, problem part number 1 indicates “DIV”, problem part number 2 indicates “BODY”, problem part number 3 indicates “TABLE”, problem part number 4 indicates “HTML”, and problem part number 100 Indicates “HEAD”.

S304: The evaluation value calculation means 10 refers to the problem part table (Table 4) generated in S303 and calculates the evaluation value of the web page to be diagnosed. Here, the position information r _i is obtained from the problem location table, and the evaluation value S is calculated by the equation (6). This equation (6) is also defined in the program.

In the right term of equation (6), since the reciprocal number of the position information (hierarchy number r _i on the DOM structure) of each problem location is added, the problem is that the value of the hierarchy number r _i is small, that is, the higher position of the DOM structure. The value (degree of nonconformity) added to the evaluation value S increases as the position increases. Therefore, if a problem is located at a higher position of the DOM structure, a situation in which a good evaluation value S is obtained can be obtained, and the same effect as in the first embodiment can be obtained.

In Equation (6), the reciprocal of the number of hierarchies r _i is added. However, the present invention is not limited to this condition, and it is sufficient that the evaluation value S increases as the value of the hierarchies r _i decreases. For example, the evaluation value S can be calculated by defining Equation (7) in the program.

(4) Others The present invention is not limited to the embodiments described above, and can be used by being modified within the scope described in each claim. For example, the diagnostic apparatus 1 can be configured with a plurality of computers.

  The present invention can also be constructed as a program that causes a computer to function as the diagnostic apparatus 1. This program is S101-S104. S201 to S205. The computer may execute all the steps S301 to S304, or may execute only a part of the steps.

  This program can be provided through a network such as a website or e-mail. The program is recorded in a recording medium 10 such as a CD-ROM, DVD-ROM, CD-R, CD-RW, DVD-R, DVD-RW, MO, HDD, Blu-ray Disk (registered trademark). It can also be stored and distributed. This recording medium is read using a recording medium driving device (such as an optical drive), and the program code itself realizes the processing of the above-described embodiment, so that the recording medium also constitutes the present invention.

DESCRIPTION OF SYMBOLS 1 ... Content diagnostic apparatus 2 ... User terminal 3 ... Content server 4 ... CPU (calculation means)
5 ... HDD (storage means)
6 ... Memory (temporary storage means)
DESCRIPTION OF SYMBOLS 7 ... Content acquisition means 8 ... Diagnosis processing means 9 ... Position information acquisition means 10 ... Evaluation value calculation means 11 ... Diagnosis rule storage means 12 ... Display (presentation means)

Claims (7)

A method for diagnosing and evaluating a content document on the web instructed from a user terminal according to a diagnostic rule,
A content acquisition step in which content acquisition means acquires a content document instructed by the user terminal from the web via a network;
An extraction step of diagnosing the acquired content document according to the diagnostic rule and extracting a problem portion of the content document;
A location information acquisition step in which location information acquisition means acquires location information in the content document of the extracted problem location;
An evaluation value calculating unit that calculates an evaluation value of the content document according to the position information for presentation to the user terminal;
A web content diagnosis method characterized by comprising: The position information acquisition step acquires, as the position information, the number of characters from the beginning of a problem portion existing in the content document,
The web content diagnosis method according to claim 1, wherein the evaluation value calculating step increases the degree of inappropriateness of the problem portion as the number of characters decreases. In the location information acquisition step, the number of problem locations in the DOM structure of the content document is acquired as the location information.
The web content diagnosis method according to claim 1, wherein the evaluation value calculating step increases the degree of inappropriateness of the problem portion as the value of the number of hierarchies decreases. A device for diagnosing and evaluating a content document on the web instructed from a user terminal according to a diagnostic rule,
Content acquisition means for acquiring a content document instructed by the user terminal from the web via a network;
A diagnosis processing means for diagnosing the acquired content document according to the diagnosis rule and extracting a problem portion of the content document;
Position information acquisition means for acquiring position information of the extracted problem part in the content document;
Evaluation value calculating means for calculating an evaluation value of the content document according to the position information for presentation to the user terminal;
A web content diagnosis apparatus comprising: The position information acquisition means acquires the number of characters from the beginning of a problem portion existing in the content document as the position information,
The web content diagnosis apparatus according to claim 4, wherein the evaluation value calculation unit increases the degree of inappropriateness of the problem portion as the value of the number of characters decreases. The location information acquisition means acquires the number of layers of problem locations existing in the DOM structure of the content document as the location information,
The web content diagnosis apparatus according to claim 4, wherein the evaluation value calculation unit increases the degree of inappropriateness of the problem portion as the value of the number of hierarchies decreases.   A web content diagnostic program for causing a computer to function as the web content diagnostic apparatus according to claim 4.

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