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Over the past few years, large knowledge bases have been constructed to storemassive amounts of knowledge. However, these knowledge bases are highlyincomplete. To solve this problem, we propose a web-based question answeringsystem system with multimodal fusion of unstructured and structuredinformation, to fill in missing information for knowledge bases. To utilizeunstructured information from the Web for knowledge base completion, we designa web-based question answering system using multimodal features and questiontemplates to extract missing facts, which can achieve good performance withvery few questions. To help improve extraction quality, the question answeringsystem employs structured information from knowledge bases, such as entitytypes and entity-to-entity relatedness.

Knowledge Base Completion using Web-Based Question Answering and Multimodal Fusion