Abstract: Based on a double-ten law of an Internet information organization structure, the present invention provides a method for automatically summarizing web page and text information, where matching information elements by category is added to an existing method, and content keywords and related contexts of summary (or abstract) information are directly extracted by using various successfully matched information element organization structure words. On this basis, the present invention further provides a method for supplementing summary information elements based on title information, and a method for superposing title information element organization structure words. Therefore, a new method for automatically summarizing web page and text information is comprehensively and systematically provided, and automatic summarization quality of the web page and text information can be greatly improved.

Abstract: Based on a double-ten law of an Internet information organization structure, the present invention provides a method for automatically summarizing web page and text information, where matching information elements by category is added to an existing method, and content keywords and related contexts of summary (or abstract) information are directly extracted by using various successfully matched information element organization structure words. On this basis, the present invention further provides a method for supplementing summary information elements based on title information, and a method for superposing title information element organization structure words. Therefore, a new method for automatically summarizing web page and text information is comprehensively and systematically provided, and automatic summarization quality of the web page and text information can be greatly improved.

Abstract: The present invention could achieve the implementation of one-off publishing by users of structured information, non-structured information, text information and webpage information, precisely push these information to various internet information application platforms and relevant information requiring users, thus relieving an internet user from the distress of repeatedly publishing on various application platforms, reducing information collecting costs of the internet application platforms, and further improving communication and application efficiency of internet information.

Abstract: By means of providing directly a data mining requiring user with a universal internet information data mining requirement description human-machine interaction template, the present invention provides big internet data with a set of both open and strictly-defined constraints for concept collection, data structures, and data mining operations, thus satisfying three factors for establishing a data mining model, providing an important condition for increasing the value density of an internet mining service, and allowing for implementation of universal and parallel mining of structured data, semi-structured data, and non-structured data of the internet.

Abstract: The present invention could achieve the implementation of one-off publishing by users of structured information, non-structured information, text information and webpage information, precisely push these information to various internet information application platforms and relevant information requiring users, thus relieving an internet user from the distress of repeatedly publishing on various application platforms, reducing information collecting costs of the internet application platforms, and further improving communication and application efficiency of internet information.

Abstract: By means of providing directly a data mining requiring user with a universal internet information data mining requirement description human-machine interaction template, the present invention provides big internet data with a set of both open and strictly-defined constraints for concept collection, data structures, and data mining operations, thus satisfying three factors for establishing a data mining model, providing an important condition for increasing the value density of an internet mining service, and allowing for implementation of universal and parallel mining of structured data, semi-structured data, and non-structured data of the internet.