发明名称 |
METHOD AND SYSTEM FOR SEARCHING FOR AND PROVIDING INFORMATION ABOUT NATURAL LANGUAGE QUERY HAVING SIMPLE OR COMPLEX SENTENCE STRUCTURE |
摘要 |
A method of searching for and providing information about a natural language query having a simple or complex sentence structure, includes: generating a mashup query language having a tree structure in a plurality of levels based on at least one query entity included in a natural language query language via a semantic analysis of the natural language query language; determining whether the plurality of levels are linked through a query entity forming each of the plurality of levels based on attribute information of the mashup query language; searching for data corresponding to the query entity forming each of the plurality of levels from a knowledge database based on a result of the determining, and deriving main information and at least one piece of entity information corresponding to the natural language query language from found data; and laying out a search result screen including the main information and the at least one piece of entity information. |
申请公布号 |
US2016012105(A1) |
申请公布日期 |
2016.01.14 |
申请号 |
US201514796074 |
申请日期 |
2015.07.10 |
申请人 |
NAVER CORPORATION |
发明人 |
Chang Jae Hyeok;Kim Ki Young;Kim Myeong Seok;Choi Ji Hye;Lee Won Jin;Lee Hyun Ah;Lee Yong Hun |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
|
代理人 |
|
主权项 |
1. A method of searching for and providing information about a natural language query having a simple or complex sentence structure, the method comprising:
generating a mashup query language having a tree structure in a plurality of levels based on at least one query entity included in a natural language query language via a semantic analysis of the natural language query language; determining whether the plurality of levels are linked through a query entity forming the mashup query language of each of the plurality of levels based on attribute information of the mashup query language; searching for data corresponding to the query entity forming the mashup query language of each of the plurality of levels from a knowledge database based on a result of the determining, and deriving main information and at least one piece of entity information corresponding to the natural language query language from the searched data; and laying out a search result screen comprising the main information and the at least one piece of entity information. |
地址 |
Seongnam-si KR |