关键词: 实体分辨, 机构别名, 数据空间转换, Jaccard相似度, 余弦相似度, 关系数据

Abstract: To solve the problem which the same organization entity has few names, a Jaccard Similarity based Data Space Transform for Organization Alias Mining（JS-DST-OAM） method is proposed. Based on the subjection relationship between organizations and authors, organization-author bipartite graph is built; Jaccard similarity is used to measure the similarity of two organization names by their author sets; based on the organization-organization similarity matrix, the transform from set data to numerical data is achieved; cosine similarity of organization name pairs is calculated by their similarity vectors, and it achieves the mining of organization alias. In the end, real data is used to verify its superiority.

Key words: entity resolution, organization alias, data space transform, Jaccard similarity, cosine similarity, relationship data