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Academic term, also known as terminology, which refers to nouns having the academic characteristics of fields and could build the concept of the field, has a pivotal position in understanding domain knowledge. National Academy for Educational Research (NAER) now provides more than 140 categories, 1.4 million terminologies for reference. Currently, the candidate terms are collected from the indexes of domain-related books, and experts will discuss and decide which terms to be included. However, book publishing takes a long time and the newest terminologies are inevitably not included in books. In this project, we use the existed terminology resources such as Wikipedia and Theses and Dissertations in Taiwan as the reference of new terminology candidates. By utilizing statistical analysis and the advantage of the rapid update rate of web resource, we expect to provide new domain term candidates to improve the efficiency of new term collection, and to provide researchers and learners term networks for learning.