2016 | OriginalPaper | Chapter
Boosting to Build a Large-Scale Cross-Lingual Ontology
Authors : Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang
Published in: Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
Publisher: Springer Singapore
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Abstract
owl:sameAs
relations. Building a cross-lingual ontology based on other large-scale heterogenous online wikis is a promising solution for those problems. In this paper, we propose a cross-lingually boosting approach to iteratively reinforce the performance of ontology building and instance matching. Experiments output an ontology containing over 3,520,000 English instances, 800,000 Chinese instances, and over 150,000 cross-lingual instance alignments. The F1-measure improvement of Chinese instanceOf
prediction achieve the highest 32%.