Design of an Academic Search Engine Based on the Scholar Community
基于学术社区的学术搜索引擎设计

Scholar communities and academic search engines are becoming more and more important when conducting researches. We designed an academic search engine based on the scholar community. The functions of the academic search engine and the key problems it should put priority on its consideration were proposed, and the roadmaps to solving these problems were illustrated. Finally, we presented the system architecture and discussed the scholar information integration algorithm which aims to integrate the different content of the academic information provided by different suppliers distributed on different places among the interned I}he algorithm we propose can effectively solve the problem of fetching academic information. Normal Chinese word segmentation components cannot be applied to the Chinese names effectively. Aiming at this problem, we proposed a Chinese name segmentation algorithm which can effectively and efficiently solve the problem. A prototype of such an academic search engine was implemented on the basis of an open source framework Nutch and Hl3ase, which attests the validity of our design.