Abstract: The present disclosure provides a method for graph computing, an electronic device and a non-transitory computer-readable storage medium. An execution engine for managing execution of the graph computing is configured in a CPU. One or more interface functions running in a GPU for processing parameters of the graph computing are configured. During the execution of the graph computing, the one or more interface functions are called by the execution engine through a graph computing interface. The interface functions are executed in the GPU in parallel through multiple parallel threads. The interface functions are configured to process a plurality of graph vertexes in parallel. The multiple parallel threads are configured to feedback respective execution results of the interface functions to the execution engine. The graph computing is completed by the execution engine according to the execution results.

Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.

Abstract: A method, apparatus, device, and storage medium for expanding data are disclosed. The method includes: acquiring a triplet from a knowledge graph; mining a relationship path equivalent to a relationship in the triplet from the knowledge graph, a subject in the triplet being used as a start point of the relationship path, and an object in the triplet being used as an end point of the relationship path; and expanding the triplet based on the relationship path to generate an expanded triplet. This implementation expands the triplet in the knowledge graph, and strengthens the association between the subject and the object in the triplet in a larger context, such that the association between the subject and the object in the triplet is more global.

Abstract: A method for processing a sematic description of a text entity is proposed. The method includes: acquiring a plurality of target texts containing a main entity, and extracting related entities describing the main entity from each target text; acquiring a sub-relation vector of a pair of the main entity and each related entity in each target text; calculating a similarity distance of the main entity between different target texts based on the sub-relation vector; and determining a semantic similarity of the main entity descripted in different target texts based on the similarity distance.

Abstract: A method for storing a determinant text, an electronic device, and a computer-readable storage medium is disclosed. The method includes: obtaining a determinant text that is to be stored, the determinant text including a plurality of fields; obtaining valid fields from the plurality of fields; querying a field type table according to the valid fields to generate a data description field of the determinant text; determining a value storage field of the determinant text according to contents of the plurality of fields and the field type table; and storing the data description field and the value storage field to store the determinant text.

Abstract: The disclosure discloses a semantics processing method, a semantics processing apparatus, an electronic device, and a medium, and relates to a field of knowledge graph technologies. The detailed implementation includes: determining a target semantic element rule matching a text to be parsed, and parsing the text to be parsed by employing the target semantic element rule to obtain a semantic element parsing result; generating a semantic tree based on the semantic element parsing result by employing a target structured rule associated with the target semantic element rule; and performing semantic understanding on the text to be parsed based on the semantic tree.

Abstract: Embodiments of the disclosure disclose a method and apparatus for generating information. A specific embodiment of the method comprises: acquiring a historical click log, the historical click log comprising a historical search term and a clicked historical search result corresponding to the historical search term; determining whether matching clicked historical search results exist in the historical click log; establishing a synonymous relationship between historical search terms corresponding to the matching clicked historical search results, in response to determining the matching clicked historical search results existing in the historical click log; and generating a relational word list based on the established synonymous relationship. The embodiment helps to enrich the content of the relational word list, and improve the coverage of the relational word list.

Abstract: The present application discloses a method, an apparatus, a device, and a computer readable storage medium for determining a target content, the method includes: splitting an article paragraph determined according to search information into multiple sentences, and determining a relationship between the sentences according to attributes of the sentences; determining a sentence representation corresponding to each of the sentences according to the relationship between the sentences; and determining a target sentence according to the sentence representation of the sentence and the search information, and determining a target content according to the target sentence, so that the method, the apparatus, the device, and the computer readable storage medium provided by the present disclosure can analyze each of the sentences in combination with the relationship between the sentences, thereby determining a target content that more closely matches the search information.

Abstract: The present disclosure provides a method for updating a relational index, a storage medium and an electronic device. The method includes: reading out relational data of an entity to be operated from a disk to a memory; performing an updating operation on the relational data in the memory; storing the updated relational data into a memory relational index; writing content data of the entity to be operated into the disk; and synchronizing periodically the memory relational index to a disk relational index.

Abstract: A method for obtaining an answer to a question is provided. The method may include: acquiring a question; determining at least a part of articles in a preset article database as candidate articles, and determining first scores of the candidate articles respectively, the first score of any of the candidate articles representing a matching degree between the candidate article and the question; determining at least a part of texts in each of the candidate articles as candidate texts, and determining second scores of the candidate texts respectively, the second score of any of the candidate texts representing a matching degree between the candidate text and the question; and determining at least a part of the candidate texts as the answer based on a score set of each of the candidate texts, the score set of any of the candidate texts including the second score and the first score.

Abstract: A method and an apparatus for storing data are provided. The method includes: acquiring target data, the target data including first key-value pair data, object data or array data, the key-value pair data including key data and value data, the object data including second key-value pair data, and the array data including object data; determining an object data number of the object data included in the target data, an array data number of the array data included in the target data, a first key-value pair data number of the first key-value pair data included in the target data, and a second key-value pair data number of the second key-value pair data included in the target data; determining a storage space based on the determined numbers; and storing the target data into the storage space.

Abstract: The present disclosure provides an artificial intelligence-based triple checking method and apparatus, a device and a storage medium. The method comprises: generating a search query according to a triple to be checked; obtaining webpages of search result corresponding to the query; determining a confidence score of the triple according to the webpages of search result; determining whether the triple is an accurate triple according to the confidence score. The solution of the present disclosure can be employed to achieve efficient check of the triple.

Abstract: The present disclosure provides a method for updating a relational index, a storage medium and an electronic device. The method includes: reading out relational data of an entity to be operated from a disk to a memory; performing an updating operation on the relational data in the memory; storing the updated relational data into a memory relational index; writing content data of the entity to be operated into the disk; and synchronizing periodically the memory relational index to a disk relational index.

Abstract: A method and an apparatus for storing data are provided. The method includes: acquiring target data, the target data including first key-value pair data, object data or array data, the key-value pair data including key data and value data, the object data including second key-value pair data, and the array data including object data; determining an object data number of the object data included in the target data, an array data number of the array data included in the target data, a first key-value pair data number of the first key-value pair data included in the target data, and a second key-value pair data number of the second key-value pair data included in the target data; determining a storage space based on the determined numbers; and storing the target data into the storage space.

Abstract: Embodiments of the disclosure disclose a method and apparatus for generating information. A specific embodiment of the method comprises: acquiring a historical click log, the historical click log comprising a historical search term and a clicked historical search result corresponding to the historical search term; determining whether matching clicked historical search results exist in the historical click log; establishing a synonymous relationship between historical search terms corresponding to the matching clicked historical search results, in response to determining the matching clicked historical search results existing in the historical click log; and generating a relational word list based on the established synonymous relationship. The embodiment helps to enrich the content of the relational word list, and improve the coverage of the relational word list.