基于本体和SAO结构的线上技术供需信息语义匹配研究

Research on Semantic Matching for Online Technology Supply and Demand Information Based on Ontology and SAO Structure

【目的/意义】为应对线上技术供需信息超载导致的检索难、信息非结构化导致的供需文本匹配难的问题,开展技术供需信息语义匹配研究。【方法/过程】构建技术领域本体,利用SAO结构分析提取技术供需信息中多维语义结构特征,表征供给技术的创新特征及技术需求的问题特征。应用基于本体信息内容与语义距离相似算法,结合词向量与熵值分析,提出技术供需多维语义结构匹配模型。【结果/结论】对线上新能源领域技术供需数据进行测试,验证模型有效性,为提高技术供需主体信息检索效率、促进供需对接提供思路,并为考虑供需信息匹配的科技主体推荐提供决策。

【Purpose/significance】In order to deal with the difficulty of retrieval caused by overloading of online technologysupply and demand information and the difficulty of text matching due to unstructured information, a semantic matching fortechnology supply and demand information is studied.【Method/process】This paper constructs the ontology of technologydomain and uses the SAO structure analysis to extract the multidimensional semantic structure features of supply anddemand information to characterize the innovative features of supply technology and the technical requirements. Applyingthe algorithm of ontology information content and semantic distance similarity, combining with word vector and entropyanalysis, this paper proposes a multi-dimensional semantic structure matching model of technology supply and demandinformation.【Result/conclusion】Testing the technology supply and demand online data in the new energy field to verifythe validity of the model, it provides a guideline to improve the search efficiency of technological subject and promote thedocking of supply and demand information, also provides recommendation to achieve technology subject recommendationwhich consider the supply and demand match.