Abstract: Disclosed is an information query method and apparatus. The method includes: obtaining a query word input by a user through a terminal, identifying a target entity in the query word and determining a globally unique identifier (GUID) of the target entity for a knowledge map; determining a target entity type corresponding to the target entity according to a corresponding relationship between an entity and the entity type. The target entity type is used to indicate the target attribute and/or target entity relationship to be queried of the target entity; according to the GUID and an identifier of the target attribute and/or an identifier of the target entity relationship, querying an attribute value and/or a related entity corresponding to the identity of the target attribute and/or an identifier of the target entity relationship in the knowledge map; returning a search result to the terminal.

Abstract: Knowledge map-based question-answer method, server, and storage medium are provided. The method includes obtaining a natural query sentence inputted by a user, and identifying a globally unique identifier, with respect to the knowledge map, of an entity in the natural query sentence. The knowledge map includes attributes and attribute values of entities and relationships thereof. The method also includes according to a context-free grammar rule, parsing the natural query sentence into a syntax tree, and according to the syntax tree, obtaining a logical expression corresponding to the natural query sentence. Moreover, the method includes according to the logical expression and the globally unique identifier of the entity, generating a machine query sentence corresponding to the knowledge map.

Abstract: Disclosed is an information query method and apparatus. The method includes: obtaining a query word input by a user through a terminal, identifying a target entity in the query word and determining a globally unique identifier (GUID) of the target entity for a knowledge map; determining a target entity type corresponding to the target entity according to a corresponding relationship between an entity and the entity type. The target entity type is used to indicate the target attribute and/or target entity relationship to be queried of the target entity; according to the GUID and an identifier of the target attribute and/or an identifier of the target entity relationship, querying an attribute value and/or a related entity corresponding to the identity of the target attribute and/or an identifier of the target entity relationship in the knowledge map; returning a search result to the terminal.

Abstract: Knowledge map-based question-answer method, server, and storage medium are provided. The method includes obtaining a natural query sentence inputted by a user, and identifying a globally unique identifier, with respect to the knowledge map, of an entity in the natural query sentence. The knowledge map includes attributes and attribute values of entities and relationships thereof. The method also includes according to a context-free grammar rule, parsing the natural query sentence into a syntax tree, and according to the syntax tree, obtaining a logical expression corresponding to the natural query sentence. Moreover, the method includes according to the logical expression and the globally unique identifier of the entity, generating a machine query sentence corresponding to the knowledge map.