Automatic Summarization Method of Technical Literature Based On Domain Ontonogy

Pan Cao, Junwei Luo, Lin Lu
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引用次数: 1

Abstract

In the field of automatic summarization technology, it is hot but difficult to make full use of the semantic information of text. Owing to the semantic reasoning of ontology, we proposed an automatic summarization method based on domain ontology. The domain ontology is constructed by using knowledge graph as the initial template and the FP-Growth association rule to mine the relations between conceptions. After mapping sentences to RDF triples, the final triples will be given by semantic reasoning based on domain ontology. The summary of technical literature based on domain ontology express the themes more accurately. Taking ROUGE as the evaluation, the method we give is better than the traditional auto-summarization method in average, the ROUGE value of multiple documents summarization is 15% higher than single document summarization.
基于领域本体的技术文献自动摘要方法
在自动摘要技术领域,如何充分利用文本的语义信息是一个热点问题,但也是一个难点问题。基于本体的语义推理,提出了一种基于领域本体的自动摘要方法。以知识图谱为初始模板,利用FP-Growth关联规则挖掘概念间的关系,构建领域本体。将句子映射到RDF三元组后,通过基于领域本体的语义推理得到最终的三元组。基于领域本体的技术文献综述更准确地表达了主题。以ROUGE作为评价,我们给出的方法平均优于传统的自动摘要方法,多文档摘要的ROUGE值比单文档摘要高15%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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