Semantic network construction and service recommendation method oriented to field of intellectual property technology resources

Abstract

The invention relates to the field of intellectual property technology resource conversion, in particular to a method for establishing a semantic network of intellectual property technology resourcesand providing an intellectual property technology resource recommendation service for enterprise users based on an intellectual map construction technology. The construction technology and method comprise the following steps: step 1, establishing an intellectual property technology resource technology concept label portrait; step 2, establishing a scientific research institution technology conceptlabel portrait; 3, establishing an enterprise technology concept label portrait; 4, establishing a semantic network of an intellectual property technology resource domain knowledge system; and step 5, performing graph reasoning in the intellectual property technology resource semantic network, and providing an intellectual property technology resource recommendation service for the enterprise incombination with a recommendation algorithm. According to the construction technology and method, the matching accuracy of enterprise requirements and intellectual property technology resources is improved, the working difficulty and operation cost of operators are reduced, and the intellectual property conversion rate is increased.

Description

technical field [0001] The invention relates to the field of intellectual property technical resources, in particular to a semantic network construction and service recommendation method in the field of intellectual property technical resources. Background technique [0002] At present, in the field of intellectual property technical resources, most scenarios provide search-based query services. However, the information provided by these searches exists in isolation, and a simple index cannot establish relationships with technical resources such as innovative achievements, experts, and patents in the field of intellectual property. To find experts in this field through the latest technology in a certain technical field, or to find out the technology he is good at or what technological innovations he has made through an expert in a certain technical field, enterprise users have to spend a relatively high amount of time. costs, and labor costs. At the same time, this also ha...

AI Technical Summary

Problems solved by technology

However, the information provided by these searches exists in isolation, and a simple index cannot establish a relationship with technical resources such as innovative achievements, experts, and patents in the field of intellectual property

To find experts in this field through the latest technology in a certain technical field, or to find out the technology he is good at or what technological innovations he has made through an expert in a certain technical field, enterprise users have to spend a relatively high amount of time. costs, and labor costs

At the same time, it also has a relatively high technical threshold

Traditional recommendation systems use explicit or implicit information as input to make predictions, and there are sparsity problems and cold start problems

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