Identifiction Of Semantically Enhanced Science And Techonology Innovation Path

In the 21 st century, the competition in the field of science and technology has become the dominant factor in the international competition. In this context, how to use information technology and intelligence analysis methods to recognize scientific and technological innovation path, reveal the development process and evolution trend of technological innovation, has become more important.Researchers generally achieve new innovations on the basis of others’ scientific and technological innovations, and technological innovations with time tags are linked to form a dynamic development path, providing a reliable data source for science and technology innovation path recognition. Therefore it provides reliable data sources for the identification of science and technology innovation path. The traditional science and technology innovation path recognition focuses on quantifying statistical research while it ignores the understanding of technology text and loses a lot of semantic information of technology innovation. It does not go deep into the interior of science and technology innovation path to make a systematic analysis and interpretation. The development of the computer information processing technology and text mining technology makes it possible to use semantic analysis methods to analysis scientific literature data and build the enhanced semantic technological innovation path.To solve these problems, we use shallow semantic analysis technology to index study purpose, methodology, conclusions and other content of scientific literature sentences and interpret semantically the theme evolution paths of technology innovation, forming semantic enhanced science and technology innovation path. This article includes four parts:(1) Analysis the latest progress of technological innovation type research and science and technology innovation path research.(2) Research on semantically enhanced characterization of technological innovation contents. We will construct the training data set, use Keygraph algorithm to extract the characterization keywords of technological innovation contents to construct 4 maps on the technological innovation content, make a feature selection according to semantic roles of keywords in the scientific literature summary sentences, and complete semantic representation of scientific and technological innovation content based on SVM machine learning algorithm.(3) Identification of technological innovation path is studied based on enhanced semantic. The scientific literature is going to be cut in accordance with time period. We will identify the theme of scientific and technological innovation in the scientific literature with a time stamp based on the LDA model.(4) Study on the semantic enhanced science and technology innovation path identification. Technological innovation thematic networks are constructed by using the simple centers algorithm and the semantic similarity of the scientific and technological innovation topics is calculated by Jaccard coefficient. We also use Inclusion Index to calculate technology innovation theme overlapping relationships among sub-period. Finally, we will label scientific and technological innovation content based on Node XL in order to build a semantically enhanced science and technology innovation path.Experimental results show that the semantic enhanced science and technology innovation path identification method proposed in this paper can accurately locate the semantic content of technological innovation and dig out the contents of technological innovation contained in the key nodes, helping users to shorten time to consult scientific literature and grasp quickly the heritage and evolution of scientific and technological innovation content. It also changes a single visual interpretation of science and technology innovation path into full visual semantic interpretation. Due to the lack of professional domain corpus and visualization technology is not yet mature, the constructed semantically enhanced science and technology innovation path is yet to have a more in-depth and comprehensive study of status, law, progress and trends.