The article considers the quantitative assessment approach to the innovativeness of different objects. The proposed assessment model is based on the object data retrieval from various databases including the Internet. We present an object linguistic model, the processing technique for the measurement results including the results retrieved from the different search engines, and the evaluating technique of the source credibility. Empirical research of the computational model adequacy includes the acquisition and preprocessing of patent data from different databases and the computation of invention innovativeness values: their novelty and relevance. The experiment results, namely the comparative assessments of innovativeness values and major trends, show the models developed are sufficiently adequate and can be used in further research.
翻译:该条考虑了对不同物体创新的定量评估方法。拟议的评估模式基于从包括因特网在内的各种数据库检索物体数据;我们提出了一个对象语言模型,测量结果的处理技术,包括从不同搜索引擎检索的结果,以及源可信度的评价技术;对计算模型是否充分的经验研究包括从不同数据库获取和预先处理专利数据,以及创新价值的计算:其新颖性和相关性;实验结果,即对创新价值和主要趋势的比较评估,表明所开发的模式足够充分,可用于进一步研究。