European Internet Accessibility Observatory

Related projects

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All projects listed at this site are related to the EIAO project.

Agder University College

ROBACC

ROBACC was a project on assessing accessibilty issues at AUC prior to EIAO and was active 2003-2004.
As the information society develops, and the number of public and private online services increase the impact of "digital divide" grows. On the other hand, appropriate uses of new technologies can bridge the divide and even enable new user groups to access information and participate in communication. In particular, people with disabilities may benefit from this development.

Purpose of the project

Develop an Internet robot assessing the accessibility of web sites.

• Validate web sites compared to Open standards (W3C and IETF)
• Provide quantitative accessibility indicators
• Demonstrate use of Open Source
• Raise awareness, to encourage competition for better web sites, publication-tools, and requirement specifications

Further development aim at distribution based on a format for web accessiblity data. Results from the project will be available as downloadable source and documentation. In addition we plan to provide an online application for analysis of the stored data.

Publications

Quantitative assessment of public web sites accessibility - Some early results presented at ETSI 2003-03-28. See also Online Proceedings .
Towards a web accessiblity monitor Paper at EMBEC'02.
Results from ROBACC has also been described (Norwegian) in Kommunal Rapport (Note: payment required for access).

Funding

IT Funk funded a pilot project from 2003-07-01 until 2004-07-01.

For more information contact Mikael Snaprud

MEBACC

Participants: Terje Gjøsæter
This project investigated a metamodel-based approach to automatic checking of conformance to standards and accessibility requirements to improve the assessment methods and to support the constantly evolving accessibility requirements and web technology.

The MEBACC demonstrator web interface: http://128.39.145.18/mebacc/mebacc_web.py

Student projects

Projects from the course Web-mining and data analysis (IKT407)

Web-mining and data analysis is a course given at Agder University College. The course is closely related to the EIAO project and each student group participating in this course has projects related to EIAO.

The course includes techniques for automatic retrieving and processing of information from the Internet. Accessibility of the content of Internet is mainly decided of the form of the content (HTML-code, colours, pictures, animations, etc.). In fact, the form of the content of Internet can determine to what extent people with disabilities can utilize the information. The form of the information also decides what kind of terminals can be used, like mobile phones or Braille readers. Understanding and assessing accessibility of the Internet content is therefore important, and is the main purpose of the student projects given in this course.

Visit the ongoing projects in web-mining and data analysis or already finished projects.

Group 1 2006 - Browser based Web Accessibility Measurement Component
Participants: Li wenjie ,Yang guang ,Ignacio Alonso
Superviser:Morten Goodwin Olsen
Short project description:The goal of this project, is to demonstrate the concept of a web browser based measurement component using Mozilla[Moz]. Mozilla is interesting as a container for WAM measurement systems due to Mozillas Accessibility architecture[MOZ-A] which is used by 3rd party software like screen readers, magnifiers, and voice dictation software, which need information about document content, UI controls and events like changes of focus. Mozilla supports two accessibility APIs: MSAA on Windows[MSAA] and ATK on Linux and Unix[ATK]. Mozilla has also implemented an accessibility model into the browser consisting of transformations from a non-accessiblie DOM tree to an accessible DOM tree. The hypothesis is that a browser based measurement component should simplify some accessibility measurements considerably, like identifying screen flickering, redirection, JavaScript links or spawned windows, by subscribing to events via the accessibility interface or the DOM tree. The measurement component must conform to the web services based plug-in interface for the EIAO Web Accessibility Observatory, so that the measurements can be used for large scale accessibility assessments by the Observatory. Suggested reading is Rapid Application Development with Mozilla by Bruce Perens[MOZ-Book].
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG

Group 2 2006 - Web Content Mining
Participants: Sigbjørn Tvedt, Christian Kroken
Superviser:Morten Goodwin Olsen
Short project description:The goal of this project is to create a crawler/classifier that downloads the images in a web page and tries to classify the content of each image into different categories, e.g., mathematical formula, logo, buttons, and so on. The focus should be on automatic detection of image usage that reduces the accessibility of a web page.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG Source Code as RAR Source code with test images as RAR|

Group 3 2006 - Accessibility scorecard in GIS system
Participants: Santhakumar Chanrasekaram, Ni Chen, Mats Oustad
Superviser:Morten Goodwin Olsen
Short project description:The goal of the project is to create a Geograpichal Information System based on an Open Source GIS module that can present accessibility measures as colour coded scorecards according to the scorecards defined in UWEM for the EU NUTS regions. Data to be presented may consist of HTML deviations or other data that will be extracted from the EIAO RDF repository, or possibly the EIAO datawarehouse.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG

Group 4 2006 - Temporal web structure mining
Participants: Sølve Oppheim, Bjørn Roalkvam
Superviser:Morten Goodwin Olsen
Short project description:The goal of the project is to do an analysis of the change, growth, accessibility and interlinking of websites over time, by using The WayBack machine in combination with a web crawler. The case study should include AUC's home page.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG

Group 5 2006 - e-Content accessibility for dyslexic people
Participants: Zhang Xiaorui
Superviser:Annika Nietzo
Short project description:Develop a WAM (Web Accessibility Metric) that can be used within EIAO (European Internet Accessibility Observatory) to produce special scores about accessibility for people with reading difficulties. The new metric can be deduced from the literature that describes the special requirements for content and layout / presentation.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG Source Code as ZIP

Group 6 2006 - Resource allocation algorithm
Participants: Zhu Lida and Yuan Jun
Superviser:Noureddine Bouhmala
Short project description:Data clustering is one of the common techniques in dataming. In this project, a multilevel schema is used for K-clustering problems. Multilevel techniques refer to the process of diving large and difficlut problem into smaller ones, which are hopefully much easier to handle, and then work backward towards the solution of the original problem, using a solution from a previous level as a starting solution at the next level. In this project, we introduce a combination of the multilevel paradigm with a popular algorithm used to solve the clustering problem. Large random data sets will be generated in order to judge the quality of the clustering.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG

Group 7 2006 - A multilevel Local Search Method to K-klustering
Participants:Xiong Wen, Wang Wenjuan, Huang Jiaquan
Superviser:Noureddine Bouhmala
Short project description:Data clustering is one of the common techniques in dataming. In this project, a new appraoch combining a new local search method and the multilevel paradigm is introduced for solving the k-clustering mproblem. Multilevel techniques refer to the process of diving large and difficlut problem into smaller ones, which are hopefully much easier to handle, and then work backward towards the solution of the original problem, using a solution from a previous level as a starting solution at the next level. The proposed appraoch starts by coarsening the original problem into a sequence of smaller problems using coarsening scheme. Thereafter a solution to the K-clustering problem is determined at the smallest problem and is projected back to the original problems by going through a refinement pahse using local search at the each intermediate level. Large random data sets will be generated in order to judge the quality of the clustering.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG Source Code as ZIP

Group 8 2006 - Classification of web-based discussions using Naive Bayes
Participants::Ekaterina Soukhikh
Superviser:Morten Goodwin Olsen and Leiming Chen
External contact: Aleksander M. Stensby
Short project description:Given a set of web-based discussions on various topics written in various languages, the classification problem consists of determining for each discussion (and its sub-posts) on what topic these discussions report on,and in what language they are written in. In this project the students are to investigate whether the Naive Bayes algorithm is applicable to classifying web-based discussions. The students will be given a training-set of articles and a large corpus of articles that they are to investigate on. The project will be performed in cooperation with Integrasco A/S.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG First Testdata as PDF Second Testdata as PDF Third Testdata as PDF

Group 9 2006 - Distributed resource allocation algorithm
Participants::Trabelsi Walid
Superviser:Leiming Chen and Morten Goodwin Olsen
External contact: Aleksander M. Stensby
Short project description:Resources can be allocated everywhere, but to get the most optimal positions for all of them and waiting to be used in best efficiency, A proposed solution is to use OMA algorithm. The students will attempt to solve the problem, and the resources may have different value depending on its position. The standard for evaluating whether the resource object is the most optimal situation can be different, such like time,distance and so on. Using the Object Migration Automaton (OMA) towards partitioning the resource objects to receive the most viable solution seems like a viable approach.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG Source Code as ZIP

Group 10 2006 - Solving the Bin packing problem
Participants:Anis Yazidi
Superviser:Morten Goodwin Olsen
Short project description:Evaluating a data analysis solution of distribution of values for the bin packing problem where the values of the Objects cannot be know before they are instantiated. The bin packing problem is defined in [BINPACK] as where "Objects of different volumes must be packed into a finite number of bins of capacity in a way that minimizes the number of bins used." This analysis can be seen as a formal examining any resource allocation problem such as a distributed crawler.In this project a solution of competitive game of learning automata should be the main focus of the distribution of the objects.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG Source Code as ZIP

Group 11 2006 - Detection of Denial of Service attacks using a naive Bayesian classifier
Participants:Richard Imenes ,Åsmund Myklevoll and Kristen Gravelseter
Superviser:Morten Goodwin Olsen
Short project description:This project is a proof -of-concept of self –learning intrusion detection systems. The project goal is to prove that it is possible to make this using a Naïve Bayesian classifier. Through the project we have tested a dataset using Orange, and seen what kind of classification results we can get. This project does not contribute with any new knowledge in the field of self-learning intrusion detection systems, but has acted as part of our education and has given us more knowledge about the subject.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG Source Code as ZIP

Group 12 2006 -Accessible and Usable Web Content
Participants:Iker H. Garcia
Superviser:Morten Goodwin Olsen
Short project description:We search for the connection between usability and accessibility. This project tries to find out how the adoption of w3c recommendations about the correct way to make web content accessible to people with disabilities can affect people with no disabilities. This information will be useful to obtain conclusions about if it's possible to get a friendly use webpage for both kinds of people at the same time. If we can find out this relationship we should have a powerful tool in the future for improve the quality of web content.
Final Report as PDF
Final Presentation as PDF First Presentaion as MPG Final Presentaion as MPG Final Annexe1 as PDF Final Annexe2 as PDF