Proposed are a method and device for constructing an event knowledge. The method comprises: identifying text to obtain an event mining candidate sentence; dividing the event mining candidate sentence into syntax fragments; generating an event knowledge instance according to the syntax fragments and a preset event knowledge construction, in which the number of the event knowledge instances is equal to the number of verb-object fragments and subject-predicate fragments in the syntax fragments; obtaining an event mining target sentence according to the verb-object fragments and the subject-predicate fragments in the syntax fragments, dividing the event mining target sentence, and writing divided members into an event knowledge instance correspondingly, so as to accomplish construction of the event knowledge base.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for constructing an event knowledge base, comprising: identifying text to obtain an event mining candidate sentence; dividing the event mining candidate sentence into syntax fragments; generating an event knowledge instance according to the syntax fragments and a preset event knowledge construction, wherein the number of the event knowledge instances is equal to the number of verb-object fragments and subject-predicate fragments in the syntax fragments; obtaining an event mining target sentence according to the verb-object fragments and the subject-predicate fragments in the syntax fragments, dividing the event mining target sentence, and writing divided members into an event knowledge instance correspondingly, so as to accomplish construction of the event knowledge base. 2. The method according to claim 1, wherein the syntax fragments comprises one or more of a verb-object fragment, a subject-predicate fragment, an adverbial fragment, a subject fragment and a nounal predicate fragment. 3. The method according to claim 1, wherein the preset event knowledge construction has four attributes: an identifier of event knowledge instance, a subject entity, an object entity and a motion; the subject entity comprises entity information and embellishment information corresponding to an action initiator; the object entity comprises entity information and embellishment information corresponding to an action bearer; the action comprises a core action and constraint information. 4. The method according to claim 3, wherein dividing the event mining target sentence and writing divided members into the event knowledge instance correspondingly comprises: dividing the subject-predicate fragment in the event mining target sentence, and writing all divided members into the subject entity, the object entity and the action of the event knowledge sentence; writing the subject fragment into the subject entity of the event knowledge sentence, dividing the verb-object fragment and writing all divided members into the subject entity and the action of the event knowledge sentence, if the subject fragment exists in the verb-object fragment in the event mining target sentence; and dividing syntax fragments in the event mining target sentence except the subject-predicate fragment and the verb-object fragment, and writing all divided members into the embellishment information and the constraint information of the event knowledge sentence, wherein the members comprises one or more of a subject, a predicate, an object, a subject attributive, an adverbial and an object attributive. 5. The method according to claim 4, further comprising: discarding the verb-object fragment, if the subject fragment does not exist in the verb-object fragment in the event mining target sentence. 6. The method according to claim 5, after writing divided members into the event knowledge instance correspondingly, further comprising: performing cluster analysis on event knowledge instances in the event knowledge base to obtain a set of equivalent events; writing information of all event knowledge instances in the set of equivalent events into the event knowledge base, so as to form a new event knowledge instance. 7. The method according to claim 6, wherein performing cluster analysis on event knowledge instances in the event knowledge base to obtain a set of equivalent events comprises: performing the cluster analysis on all event knowledge instances with consistent subject entity, consistent subject entity and consistent constraint information of the action in the event knowledge base, so as to obtain first equivalent events, extracting the core action of the first equivalent events to generate an equivalent action dictionary; and performing the cluster analysis on all event knowledge instances with the subject entity being consistent with the subject entity to obtain second equivalent events, and selecting all event knowledge instances with consistent core action from the second equivalent events according to the equivalent action dictionary to generate the set of equivalent events. 8. A device for constructing an event knowledge base, comprising: a processor; a memory configured to store an instruction executable by the processor; wherein the processor is configured to: identify text to obtain an event mining candidate sentence; divide the event mining candidate sentence identified by the identifying module into syntax fragments; generate an event knowledge instance according to the syntax fragments and a preset event knowledge construction, wherein the number of the event knowledge instances is equal to the number of verb-object fragments and subject-predicate fragments in the syntax fragments; and obtain an event mining target sentence according to the verb-object fragments and the subject-predicate fragments in the syntax fragments, divide the event mining target sentence, and write divided members into an event knowledge instance correspondingly, so as to accomplish construction of the event knowledge base. 9. The device according to claim 8, wherein the syntax fragments comprises one or more of a verb-object fragment, a subject-predicate fragment, an adverbial fragment, a subject fragment and a nounal predicate fragment. 10. The device according to claim 8, wherein the preset event knowledge construction has four attributes: an identifier of event knowledge instance, a subject entity, an object entity and a action; the subject entity comprises entity information and embellishment information corresponding to a action initiator; the object entity comprises entity information and embellishment information corresponding to a action bearer; the action comprises a core action and constraint information. 11. The device according to claim 10, wherein the processor is specifically configured to: divide the subject-predicate fragment in the event mining target sentence, and write all divided members into the subject entity, the object entity and the action of the event knowledge sentence; write the subject fragment into the subject entity of the event knowledge sentence, divide the verb-object fragment and write all divided members into the subject entity and the action of the event knowledge sentence, if the subject fragment exists in the verb-object fragment in the event mining target sentence; and divide syntax fragments in the event mining target sentence except the subject-predicate fragment and the verb-object fragment, and write all divided members into the embellishment information and the constraint information of the event knowledge sentence, wherein the members comprises one or more of a subject, a predicate, an object, a subject attributive, an adverbial and an object attributive. 12. The device according to claim 11, wherein the processor is configured to: discard the verb-object fragment, if the subject fragment does not exist in the verb-object fragment in the event mining target sentence. 13. The device according to claim 1, wherein the processor is configured to: perform cluster analysis on event knowledge instances in the event knowledge base to obtain a set of equivalent events after writing the divided members into the event knowledge instance correspondingly, and write information of all event knowledge instances in the set of equivalent events into the event knowledge base, so as to form a new event knowledge instance. 14. The device according to claim 13, wherein the processor is specifically configured to: perform the cluster analysis on all event knowledge instances with consistent subject entity, consistent subject entity and consistent constraint information of the action in the event knowledge base, so as to obtain first equivalent events, extract the core actions in the first equivalent events to generate a equivalent action dictionary; and perform the cluster analysis on all event knowledge instances with the subject entity being consistent with the subject entity, so as to obtain second equivalent events, and selecting all event knowledge instances with consistent core action from the second equivalent events according to the equivalent action dictionary to generate the set of equivalent events. 15. A non-transitory computer-readable storage medium having stored therein instructions that, when executed by a processor of an electronic device, causes the electronic device to perform a method for constructing an event knowledge base, the method comprising: identifying text to obtain an event mining candidate sentence; dividing the event mining candidate sentence into syntax fragments; generating an event knowledge instance according to the syntax fragments and a preset event knowledge construction, wherein the number of the event knowledge instances is equal to the number of verb-object fragments and subject-predicate fragments in the syntax fragments; obtaining an event mining target sentence according to the verb-object fragments and the subject-predicate fragments in the syntax fragments, dividing the event mining target sentence, and writing divided members into an event knowledge instance correspondingly, so as to accomplish construction of the event knowledge base.