Xiaoya Tang

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Specific morphological information is often used by users to search botanical collections. However, traditional systems based on statistical models are often not effective for such search. This study automatically extracts morphological information from botanical collections using an adapted and enhanced information extraction system. Experimental results(More)
Keyword-based retrieval matches search terms and documents via term co-occurrence. Such an approach does not allow matching based on the specific plant characteristic descriptions that are often used in botanical text retrieval. This study applies information extraction techniques to automatically extract plant characteristic information from text and(More)
Nowadays the phenomenon of academic misconduct (such as plagiarism, fabrication, falsification, etc.) is very frequent. The reasons for academic misconduct are involved in the problems in graduate education system, social environment and students themselves. Therefore, colleges and universities should place great emphasis on constructing a healthy school(More)
Domain-specialized digital collections have been growing rapidly in recent years. A good understanding of how users interact with such collections to accomplish domain-specific information tasks would help inform the design of effective systems. This study investigates users' interaction with a Web-based botanical collection by examining search logs(More)
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