Innovation point-based self-service novelty search method for users

A technology with innovative points and new methods, which is applied in the semantic correlation resource database taking the innovative points of scientific and technological literature as the object of novelty search, the field of pattern recognition and intelligent mining of innovative points of scientific and technological abstracts, which can solve the problems of low efficiency, cost a lot of manpower, and the scope of novelty search. ambiguity etc.

Inactive Publication Date: 2017-11-17
温浩 +2
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Problems solved by technology

[0004] The technical problem solved by the present invention is to provide users with a self-service novelty search method based on the knowledge base of innovation points, so as to solve t

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  • Innovation point-based self-service novelty search method for users

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Embodiment Construction

[0018] The present invention is made up of 6 modules).

[0019] (1) Pattern recognition of innovative PMR (problem, method, result) sentences in scientific and technological academic abstracts; (2) PMR automatic classification and extraction; (3) PMR knowledge base in RDF format; (4) semantic association relationship discovery model; (5) ) intelligent novelty search and recommendation system; (6) user novelty search type identification and query interaction interface. Adopting the technical solution of the present invention has changed the problems of fuzzy search scope and difficulty in judging novelty search points caused by matching document resources with keywords in the past. Therefore, the method of the present invention is simple, easy to implement and high in efficiency. With the support of the intelligent novelty search and recommendation function of the method and system of the present invention, users can directly self-help novelty search, which improves the accurac...

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Abstract

The invention discloses a self-service novelty search method. The method involves 6 modules including (1) a sci-tech academic abstract innovation PMR (Problem, Method, Result) sentence mode identification module, (2) a PMR automatic classification and extraction module, (3) an RDF PMR knowledge base, (4) a semantic correlation relationship discovery model, (5) an intelligent novelty search and recommendation system, and (6) a user novelty search type identification and novelty search interaction interface. According to the technical scheme, innovation points in sci-tech literatures are deeply mined in advance, and a novelty search platform of an innovation point correlation relationship is formed. By adopting the technical scheme, the problems of fuzzy search range caused by a conventional mode of matching a literature resource library in a keyword combination retrieval manner, difficulty in accurately identifying the innovation points of the sci-tech literatures in a conventional method, and the like are solved. The method is high in intelligent level, is simple and easy, is high in efficiency, and greatly reduces the workload of novelty search. Users and working personnel can directly perform self-service novelty search to discover new innovation points in time.

Description

technical field [0001] The present invention relates to the field of scientific and technological information novelty retrieval, in particular, it relates to a pattern recognition and intelligent mining technology of innovation points of scientific and technological abstracts, and a semantic association resource library established by using innovation points of scientific and technological literature as novelty retrieval objects, thus realizing Users can self-check new methods based on the innovative problems, methods, and results. Background technique [0002] With the high-speed development of my country's scientific and technological innovation activities, great pressure has been brought on the scientific and technological novelty search work. Due to the lack of in-depth data mining and analysis process, coupled with the limitation of the ability of the employees of the novelty search institutions, it is difficult to judge and evaluate the innovation points of user search...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/33
Inventor 温浩温有奎
Owner 温浩
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