发明名称 AUGMENTING SEMANTIC MODELS BASED ON MORPHOLOGICAL RULES
摘要 A computer processor determines a root of a first element of a semantic model, in which a first relationship of the first element to a second element of the semantic model, is unknown. The computer processor generates a search token, based on applying morphological rules to the root of the first element and appending a preposition. The computer processor determines one or more regular expressions by applying the search token to search a source of unstructured data. The one or more regular expressions are in a form of a triple, having a subject, a predicate, and an object, and the computer processor applies the predicate of the triple as the first relationship of the first element of the semantic model to a second element of the semantic model.
申请公布号 US2015378984(A1) 申请公布日期 2015.12.31
申请号 US201414318750 申请日期 2014.06.30
申请人 International Business Machines Corporation 发明人 Ateya Ibrahim M. S. A.;Nassar Ahmed M. A.;Notland Tore;Trim Craig M.
分类号 G06F17/27;G06F17/30 主分类号 G06F17/27
代理机构 代理人
主权项 1. A method for augmenting a semantic model from unstructured data, the method comprising: determining, by a computer processor, a root of a first element of a semantic model; generating, by the computer processor, a search token, based at least in part on morphological rules applied to the root of the first element and a preposition added to the root of the first element; determining, by the computer processor, at least one phrase that substantially matches the search token, by applying the search token to unstructured data; and adding, by the computer processor, a predicate of the at least one phrase, to a second element of the semantic model, wherein the predicate expresses a relationship between the first element of the semantic model and the second element of the semantic model.
地址 Armonk NY US