Information processing method and system for knowledge services
An information processing method and knowledge service technology, which is applied in the information processing of knowledge services and the field of electronic digital data processing, can solve problems such as the inability to organize knowledge, ignore semantic information and the relevance of knowledge points, and achieve the effect of improving experience
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Embodiment 1
[0067] This embodiment provides an information processing method for knowledge services, such as figure 1 , figure 2 shown, including the following steps:
[0068] Obtain all or part of the knowledge points as a collection of knowledge points.
[0069] For each knowledge point in the knowledge point set, determine the semantic information of the knowledge point.
[0070] According to the semantic information, a sentence group set corresponding to the knowledge point is determined.
[0071] According to the set of sentence groups, the chapter information corresponding to the knowledge point is determined.
[0072] According to the chapter information, determine the digital resource corresponding to the knowledge point.
[0073] The information processing method for knowledge services described in this embodiment can extract knowledge points from domain encyclopedias. As mentioned in the background technology, domain encyclopedias are a kind of digital publishing resource, ...
Embodiment 2
[0076] On the basis of the embodiment described in Embodiment 1, the process of determining the semantic information of the knowledge point includes:
[0077] Using the keyword expansion method, the name of the knowledge point is used as the initial keyword to expand, and the extended keyword a corresponding to the knowledge point is obtained r and the number of occurrences of the expanded keyword v r .
[0078] Get the attribute set A of the knowledge point r ={(a 1 ,u 1 ),(a 2 ,u 2 ),…,(a k ,u k )} as the semantic information of the knowledge point, where a r is the attribute parameter of the knowledge point, u r is the weight corresponding to the attribute parameter, where u r According to the number of occurrences of the expanded keyword v r Obtained, r=1,2,...,k, where k is the number of attributes.
[0079] In this example, u r According to the number of occurrences of the expanded keyword v r Obtained, which can expand the number of occurrences of keywords...
Embodiment 3
[0106] On the basis of the embodiment described in embodiment 1 or embodiment 2, as figure 2 As shown, after acquiring all or part of the knowledge points as a knowledge point set, the method further includes: associating pictures with the knowledge points.
[0107] As an optional manner, the process of associating pictures for knowledge points includes:
[0108] Search the picture library for a set of pictures whose titles correspond to the name of the knowledge point, and associate the set of pictures with the knowledge point. (If there are other ways to achieve it, it can also be provided)
[0109] In a specific application, because the pictures in the picture library are marked by the picture title, and there is a corresponding relationship between the picture title and the name of the knowledge point, therefore, if you want to retrieve the picture collection corresponding to the knowledge point in the picture library, The picture collection corresponding to the knowled...
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