Research And Design Of Vertical Search Engine For Accessibility Learning Resources

With the development of education information,people are more and more accustomed to learning and finding answers to problems in the network learning resources.For the visually impaired learners,the barrier free design of the web learning resources is the necessary condition for them to learn from the network,and it is also related to the problem of social education.The research found that there are a lot of barrier free errors in the web-based education page,which brings great inconvenience to the use of visually impaired learners.At the same time,numerous and confused webpage resources make visually impaired learners easily lost in the existence of accessible web pages.Redesigning and developing webpage based on the needs of visually impaired learners will cause a lot of waste of manpower and financial resources.The barrier free search engine tools can quickly retrieve the content of the user,and use the vertical search technology in the design of the barrier free system to fit the concept of inclusive education and information accessibility.It is meaningful to study the system of automatically repairing web pages with information accessibility.Therefore,this research combines vertical search technology and web accessibility concept to propose a vertical retrieval system for barrier free learning resources,which can help the visually impaired learners to improve network learning.This research first sorts out the related technologies of existing vertical search engine,and chooses the algorithm and technology needed in this research.On the basis of the search engine toolkit Lucene,this paper introduces the scoring formula of Lucene sorting and its shortcomings,introduces the PageRank sorting algorithm in the link analysis,and puts forward some suggestions to improve the sorting algorithm of the search engine.The improved algorithm takes into account the web link structure,the content characteristics and the time characteristics,so as to optimize the search sorting algorithm and improve precision rate of the search engine search.Secondly,based on the search results of search engines,we propose a barrier free design and repair component design plan for web pages.Combing the standard specification of web free related design,summarizing the barrier free detection rules and testing tools,checking the web pages without obstacle,getting the current web page accessibility error features,summarizing the main existing problems,and putting forward the automatic repair strategy and implementation scheme.Finally,a small network education resource barrier free vertical search engine,including information acquisition module,information analysis module,retrieval module and obstacle free repair module,is constructed.By the designed experiments to verify the effect of improved sorting algorithm and web accessibility repair module.This study aims to design and study the barrier free vertical retrieval system,which aims to improve the network learning environment for the visually impaired learners and realize the purpose of the visually impaired people to use the information equally with the common user groups.