Some modern mobile devices have the capability to store thousands of documents and therefore have the potential to be used as powerful offline learning tools. The traditional graphical file browser does not scale well on physically constrained devices. In addition, documents obtained from random sources on the Internet may contain ambiguous names and therefore may be difficult to relocate on the device. This paper describes a solution to these problems using a traditional search engine approach. A powerful open source document search engine was ported to mobile architectures. Support for adding documents to the mobile device was developed using an Internet search enhanced to highlight domain specific results. The software was developed as part of the Remora project to provide mobile learning support for trainee social workers in the UK.
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