Research On Archives Digitization Base On The Social Computing

Archives digitization research based social computing is a concept that files digitized tasks finished by a small number of professionals turning to work together to complete by the internet users through network. What is the starting point and ultimate goal of this article is that achieving the true sense of the full text of the digitized archives. Since human society entered the information age, access to and use of information has more requirements. People hope a more efficient and more able to find that part of the quality of what you want in the complicated information world. Archives information construction as an important part of the information age, its building construction achievements constituted a direct impact on the outcome of our information age. The archives digitization research is a essential to rich the achievements archives information construction. Until the 1990 s began, the researchs of archives digitization relatively started. After 20 years of development, though the archives digitization has a lot the encouraging progress, but still far from full-text digitization in the true sense.The body of this article consists of five parts. At the first part,, the study of archives digitization and social computing both at home and abroad was calculated by using literature research method. To find an entry point between the combination of archives digitization and social computing, we must make it clear that the advantages and disadvantages in both theory and technology research. Secondly, elaborating the challenge that traditional archives digitization has been faced. Since entering the era of big data, the study of archives, digital range, depth and quality of the processed, archive employees requirements have a fundamental change. These challenges are caused by the rapidly development of information technology. It is the best solution that found in the development of information technology to break the bottleneck of archives digitization. Again, specifically addressed the relevant techniques and theories of how social computing can be applied in the digital archive in. To point out the social computing is based on the development of web2.0, and analyzes the characteristics Crowdsourcing, UGC and other technical which derived from the web2.0. Use case analysis, drawing on social computing in Google book scanning plans in case of specific experience in the implementation, specifically addressed the theory and application of technology in social computing and full Archives Digitization. Then, elaborating process reengineering of archives digitization that is based on social computing in the fourth part of the article. Proposed for process restructuring that archives digitalization are based on social computing should include the digital archive of pre-treatment, splitting platform file serving and file recovery and integration of three processes. Finally, it is the elaboration of the demand function design and function-based of archives digitization systems that was based on social computing. To provide protection for the archives digitization, to ensure the normal operation of the archives digitization system, this is the final findings of the paper.