发明名称 CONFIDENCE WEIGHTING OF COMPLEX RELATIONSHIPS IN UNSTRUCTURED DATA
摘要 For confidence weighting relationships between complex entities in unstructured data an expressed relationship between a subset of a set of tokens is extracted from a knowledge graph corresponding to the unstructured data. The knowledge graph includes the set of tokens. The tokens in the subset of tokens are related in the expressed relationship by a set of predicates. A number of occurrences of the set of predicates in the unstructured data is determined. A number of occurrences of the expressed relationship in the unstructured data is determined. Using the number of occurrences of the set of predicates and the number of occurrences of the expressed relationship, a confidence value is computed and assigned to the expressed relationship.
申请公布号 US2016247088(A1) 申请公布日期 2016.08.25
申请号 US201514627479 申请日期 2015.02.20
申请人 International Business Machines Corporation 发明人 Nassar Ahmed M.A.;Odeyemi Victoria O.;Omar Eman;Trim Craig M.
分类号 G06N99/00;G06F17/30;G06F17/28;G06N7/00 主分类号 G06N99/00
代理机构 代理人
主权项 1. A method for confidence weighting relationships between complex entities in unstructured data, the method comprising: extracting, from a knowledge graph corresponding to the unstructured data wherein the knowledge graph comprises a set of tokens, an expressed relationship between a subset of the set of tokens, wherein tokens in the subset of tokens are related in the expressed relationship by a set of predicates; determining, in the unstructured data, a number of occurrences of the set of predicates; determining, in the unstructured data, a number of occurrences of the expressed relationship; and computing, using a processor and a memory, and using the number of occurrences of the set of predicates and the number of occurrences of the expressed relationship, a confidence value; and assigning the confidence value to the expressed relationship.
地址 Armonk NY US