关键词: 科学数据, 搜索引擎, 链接提取, PageRank

Abstract: With the development of scientific research, scientific data have been exploding increasingly. Faced with the challenges of big data, data retrieval service is beginning very important. However, traditional scientific data retrieval system just performs key words matching between record and query, leading to unreasonable ranking results. Focusing on this issue, this paper proposes a technique to extract link information from structured scientific data and applies PageRank to scientific data ranking. This algorithm considers the importance of scientific data during the ranking stage and can get better ranking results. The experimental results of Voovle, which is a typical scientific data retrieval system, indicate that the ranking result is more reasonable and can improve user experience.

Key words: scientific data, search engine, link extraction, PageRank