Automatic Identifying Entity Type in Linked Data
Type information is an important component of linked data. Unfortunately, many linked datasets lack of type information, which obstructs linked data applications such as question answering and recommendation. In this paper, we study how to automatically identify entity type information from Chinese linked data and present a novel approach by integrating classification and entity linking techniques. In particular, entity type information is inferred from internal clues such as entity's abstract, infobox and subject using classifiers. Moreover, external evidence is obtained from other knowledge bases using entity linking techniques. To evaluate the effectiveness of the approach, we conduct preliminary experiments on a real world linked dataset from Zhishi.me 1 Experimental results indicate that our approach is effective in identifying entity types.
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