Risk investment semantic search method based on knowledge graph

The embodiment of the invention discloses a risk investment semantic search method based on a knowledge graph. The method comprises the steps: providing a risk investment ontology knowledge model; taking the multi-source heterogeneous risk investment information corpus as a data source for construct...

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Bibliographische Detailangaben
Hauptverfasser:	HAO QINGYI, XU JIAHUI, PEI LEQI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The embodiment of the invention discloses a risk investment semantic search method based on a knowledge graph. The method comprises the steps: providing a risk investment ontology knowledge model; taking the multi-source heterogeneous risk investment information corpus as a data source for constructing a knowledge base, extracting first risk investment knowledge data from the obtained semi-structured text information, and extracting second risk investment knowledge data from the non-structured text information; performing data fusion according to the risk investment knowledge data and the second risk investment knowledge data to obtain fused risk investment knowledge data, wherein the data fusion is used for unifying names representing the same thing; according to the risk investment ontology knowledge model, expressing the fused risk investment knowledge data in a triple form to generate a risk investment knowledge graph; and providing a semantic search engine based on the risk investment knowledge graph. Ac