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<Paper uid="W04-1713">
  <Title>From Text to Exhibitions: A New Approach for E-Learning on Language and Literature based on Text Mining</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> Computer based Education has become a very hot and productive topic in recent years. However, most of the existing methodology and models are based on science domain. This is because the teaching and learning on science domain relies much on the ability of reasoning and computation, which directly utilizes the advantage of computer.</Paragraph>
    <Paragraph position="1"> The most important carriers of Knowledge on humanities domain, especially literature and language are textual materials. Therefore, unlike E-Learning on science and technical fields, a more intelligent way of using computer to deal with texts is required. Traditional E-Learning models on language and literature rely too much on pure text.</Paragraph>
    <Paragraph position="2"> Relevant frameworks include Digital-Archives, Digital-Libraries and Digital publications. Most of them are just &amp;quot;gathering mass text materials and providing them online&amp;quot;, thus the interface between system and learners is onefold, non-interactive and lack of guidance. Learners easily get missed in excessive bald texts without a &amp;quot;docent [2]&amp;quot; to advise them how to select a well organized knowledge structure and a learning pathway.</Paragraph>
    <Paragraph position="3"> Searching and retrieving modules are provided in those models to various extents, which provide a knowledge retriever. However, it still cannot go beyond texts.</Paragraph>
    <Paragraph position="4"> Recently, Digital Museum systems are believed to be able to provide a vivid interface which carries educational uses to participants. Teaching and learning becomes much easier from the special circumstance of learning in the presence of real objects, which inspires curiosity and creative thinking, and gives museums the potential to develop distinctive and meaningful educational experiences [5].</Paragraph>
    <Paragraph position="5"> There are many good examples that approach E-learning on humanities fields with a system similar to a Digital Museum. The National Palace Museum system in Taiwan offers 14 courses on the cultural relics of China [3]. Digital Museums on more than 10 major fields in nature and culture have been designed along with Taiwan's nation wide Digital Museum plan. Lo, Feng-ju et' al have designed a digital museum of Chinese Ancient Literature, which provides some sub-exhibitions of poetry and fictions in formats of photocopy of the actual paper edition of ancient texts.[7] These works have been well exploring the primitive application of Digital Museum in E-Learning on Humanities Fields.</Paragraph>
    <Paragraph position="6"> To satisfy the needs of E-Learning on Language and Literature fields, a modern digital museum should have some specific features. It should provide a mechanism to process texts, which would be able to integrate some computational linguistics methods. It should also provide a way to organize knowledge beyond the texts, and be able to provide guidance for learning. This can be achieved by generating objects out from texts and organizing them into interactive exhibitions that can be personalized. Moreover, the digital museum framework should be reusable to different scope of background knowledge. Such a modern digital museum associating text processing mechanism is believed to be a sound approach of E-Learning on Language and Literature.</Paragraph>
    <Paragraph position="7"> This article discussed this approach on the Digital Museum framework design, how it is associated with Computational Linguistics, and how to integrate knowledge to maximize the E-Learning efficiency. These discussions will be based on an example of the Digital Museum of Chinese Ancient Poetry Art, by Peking University 2003. [10] The following section will discuss the general framework design of digital museum. We will discuss text processing work behind the Digital Museum in Section 3, and Knowledge Processing and integration in Section 4. Some more discussion and future work will be provided at the conclusion section.</Paragraph>
  </Section>
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