[Resource] Notice on opening the Chaoxing Knowledge Discovery Platform
Release time: 2024-11-22
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In order to integrate the library's existing digital resources and provide readers with a one-stop document retrieval platform service. The Chaoxing Knowledge Discovery Platform will be officially launched from now on.
Chaoxing Knowledge Discovery is based on nearly 1.2 billion massive metadata, using data warehousing, resource integration, knowledge mining, data analysis, bibliometric models and other related technologies to better solve the integration of complex heterogeneous database groups and complete efficient , accurate and unified academic resource search, and then realize the discovery of high-value academic documents, vertical and horizontal deep knowledge mining, and visual all-round knowledge correlation through faceted clustering, citation analysis, knowledge correlation analysis, etc.
In addition to the information retrieval function of a general search engine, the Super Star Discovery System's greatest function is to provide powerful knowledge mining and intelligence analysis functions that deeply understand the inner relationship of knowledge. To this end, the number of search fields discovered has been greatly increased, and it is even capable of supporting empty searches within the entire database data set by default, and is so detailed that you can obtain faceted combination searches that are very specific to the subject by checking, thus achieving a comprehensive understanding of academic macro trends and trends. Judgment of the intersection of interdisciplinary knowledge and the direction of influence and knowledge regeneration enables large-scale, multi-dimensional comparative analysis and research on the academic achievements of any specific era, specific field, or specific person or institution. The Super Star Discovery System is a research tool for scholars to accurately and professionally conduct academic exploration and inspire innovation.
Core functions:
Multi-dimensional faceted clustering: Search results are clustered in any dimension according to the time dimension, document type dimension, subject dimension, subject dimension, author dimension, institutional dimension, authoritative tool collection dimension, etc. of various types of documents.
Intelligent assisted retrieval: Use the built-in normative knowledge base and the user's historical retrieval to discover behavioral habits, automatically identify and switch to the field that is most relevant to the user's recent behavior, and help grasp the connotation of the retrieved topic in real time.
Three-dimensional citation analysis: realizes the analysis of mutual reference and mutual citation relationships between books and books, between journals and journals, between books and journals, and between other types of documents.
Examination of academic origins: Through a chain and network structure composed of one-way or two-way linear knowledge associations, a correlation diagram of topics, disciplines, authors, institutions, regions, etc. is formed, thus reflecting the mutual influence and origins of academic ideas.
Display knowledge correlation: It integrates knowledge mining, knowledge correlation analysis and visualization technology, and can intuitively display discovered data and analysis results in tables, graphics, etc.
Reveal academic trends: Reveal the time-series change trend chart of academic research on any topic, gain insights into the starting point, growth, ups and downs of research in this field based on large time scales and comprehensive data analysis, and grasp the complete process and direction of the development of things as a whole.
Platform link: 点击进入
You can also directly enter search terms in the resource discovery column on the library homepage (as shown in the figure below).
If you encounter any problems during use, you can consult via QQ: 3140152469.
