Abstract: The present disclosure relates to a statement presentation system. The statement presentation system may include a computer-readable storage medium that may be configured to store executable modules. The computer-readable storage medium may include a statement browser that may be configured to receive a statement file and present a statement. The computer-readable storage medium may also include a statement generation engine that may be configured to modify the statement file, and generate a modified statement file. The statement generation engine may extract data from a data source based on the modified statement file, and operate the extracted data. The operation may be conducted by loadable operation code, a loadable operation library file, or a loadable operation tool. The statement generation engine may render the operated data and display the rendered data on the statement browser in the form of a statement.

Abstract: The present disclosure relates to a statement presentation system. The statement presentation system may include a computer-readable storage medium that may be configured to store executable modules. The computer-readable storage medium may include a statement browser that may be configured to receive a statement file and present a statement. The computer-readable storage medium may also include a statement generation engine that may be configured to modify the statement file, and generate a modified statement file. The statement generation engine may extract data from a data source based on the modified statement file, and operate the extracted data. The operation may be conducted by loadable operation code, a loadable operation library file, or a loadable operation tool. The statement generation engine may render the operated data and display the rendered data on the statement browser in the form of a statement.

Abstract: The present disclosure relates to a method for semantic analysis performed by a computing device in the financial field. The method includes constructing a knowledge graph with a computer device. The method further includes obtaining, by the computer device, information published by the first user on a social network over the network. The method further includes the computer device generating standard information based on the information. The method further includes generating, by the computer device, a user behavior based on the standard information and the knowledge graph. The method further includes searching, by the computer device, for another user with similar user behavior based on the user behavior.

Abstract: The present disclosure relates to a method for semantic analysis performed by a computing device in the financial field. The method includes constructing a knowledge graph with a computer device. The method further includes obtaining, by the computer device, information published by the first user on a social network over the network. The method further includes the computer device generating standard information based on the information. The method further includes generating, by the computer device, a user behavior based on the standard information and the knowledge graph. The method further includes searching, by the computer device, for another user with similar user behavior based on the user behavior.

Abstract: The present disclosure relates to a statement presentation system. The statement presentation system may include a computer-readable storage medium that may be configured to store executable modules. The computer-readable storage medium may include a statement browser that may be configured to receive a statement file and present a statement. The computer-readable storage medium may also include a statement generation engine that may be configured to modify the statement file, and generate a modified statement file. The statement generation engine may extract data from a data source based on the modified statement file, and operate the extracted data. The operation may be conducted by loadable operation code, a loadable operation library file, or a loadable operation tool. The statement generation engine may render the operated data and display the rendered data on the statement browser in the form of a statement.

Abstract: The present disclosure relates to a statement presentation system. The statement presentation system may include a computer-readable storage medium that may be configured to store executable modules. The computer-readable storage medium may include a statement browser that may be configured to receive a statement file and present a statement. The computer-readable storage medium may also include a statement generation engine that may be configured to modify the statement file, and generate a modified statement file. The statement generation engine may extract data from a data source based on the modified statement file, and operate the extracted data. The operation may be conducted by loadable operation code, a loadable operation library file, or a loadable operation tool. The statement generation engine may render the operated data and display the rendered data on the statement browser in the form of a statement.

Abstract: The disclosure relates to information recommendation systems and methods. The information recommendation methods may include: obtaining information selected by a user or information retrieved by the user; analyzing the selected information or the retrieval information; determining a retrieval path based on a result of analyzing the selected information or the retrieval information; retrieving other information related to the selected information based on the retrieval path; and recommend the other information to the user. The information recommendation systems may include a computer-readable storage medium; codes stored in the computer-readable storage medium; and a processor; when executing the codes, the processor may perform the above-mentioned information recommendation methods.

Abstract: The disclosure relates to information recommendation systems and methods. The information recommendation methods may include: obtaining information selected by a user or information retrieved by the user; analyzing the selected information or the retrieval information; determining a retrieval path based on a result of analyzing the selected information or the retrieval information; retrieving other information related to the selected information based on the retrieval path; and recommend the other information to the user. The information recommendation systems may include a computer-readable storage medium; codes stored in the computer-readable storage medium; and a processor; when executing the codes, the processor may perform the above-mentioned information recommendation methods.

Abstract: The present disclosure relates to a statement presentation system. The statement presentation system may include a computer-readable storage medium that may be configured to store executable modules. The computer-readable storage medium may include a statement browser that may be configured to receive a statement file and present a statement. The computer-readable storage medium may also include a statement generation engine that may be configured to modify the statement file, and generate a modified statement file. The statement generation engine may extract data from a data source based on the modified statement file, and operate the extracted data. The operation may be conducted by loadable operation code, a loadable operation library file, or a loadable operation tool. The statement generation engine may render the operated data and display the rendered data on the statement browser in the form of a statement.

Abstract: The present disclosure discloses a knowledge map building method that includes obtaining user input data, querying a database based on the user input data, and obtaining target node information and association node information. A correlation between the target node and the association node may be present. The node information is analyzed, and a knowledge map is constructed based on the analysis results. The knowledge map is presented to the user. The user may modify this knowledge map, and the knowledge map may be presented to the user again. The modified knowledge map and user data may be stored in a database as a basis for big data analysis. In addition, a report may also be constructed based on the node information in the process of building the knowledge map.

Abstract: The present disclosure relates to a method for semantic analysis performed by a computing device in the financial field. The method includes constructing a knowledge graph with a computer device. The method further includes obtaining, by the computer device, information published by the first user on a social network over the network. The method further includes the computer device generating standard information based on the information. The method further includes generating, by the computer device, a user behavior based on the standard information and the knowledge graph.

Abstract: The disclosure relates to information recommendation systems and methods. The information recommendation methods may include: obtaining information selected by a user or information retrieved by the user; analyzing the selected information or the retrieval information; determining a retrieval path based on a result of analyzing the selected information or the retrieval information; retrieving other information related to the selected information based on the retrieval path; and recommend the other information to the user. The information recommendation systems may include a computer-readable storage medium; codes stored in the computer-readable storage medium; and a processor; when executing the codes, the processor may perform the above-mentioned information recommendation methods.