Zhang Min, Teng Haibin, Jiang Ming, Wen Tao, Tang Jingfan
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 625-635, 2019, DOI:10.31209/2019.100000117
Abstract Mapping from sentence phrases to knowledge graph resources is an important step for
applications such as search engines, automatic question answering systems based on
acknowledge base and knowledge graphs. The existing solution maps a simple phrase
to a knowledge graph resource strictly or approximately from the text. However, it is
difficult to detect phrases and map the composite semantic resource. This paper proposes a longest matching resource mapping scheme to solve this problem, namely, to
find the longest substring in a sentence that can match the knowledge base resource.
Based on this scheme, we propose an optimization algorithm based on… More >
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