Based on analyses on existing indicators for evaluating journals in the humanities and social sciences and our experience in constructing the Chinese Social Science Citation Index(CSSCI), we proposed a comprehensive s...Based on analyses on existing indicators for evaluating journals in the humanities and social sciences and our experience in constructing the Chinese Social Science Citation Index(CSSCI), we proposed a comprehensive system for evaluating Chinese academic journals in the humanities and social sciences. This system constitutes 8 primary indicators and 17 sub-indicators for multidisciplinary journals and 19 sub-indicators for discipline-specific journals. Each indicator or sub-indicator is assigned a suitable weight according to its importance in terms of measuring a journal's academic quality and/or impact.展开更多
Faced with the ever-increasing amount of books published,the library cataloging staff feel more and more difficult to classify books manually.How to realize automatic book classification by using computers is a critic...Faced with the ever-increasing amount of books published,the library cataloging staff feel more and more difficult to classify books manually.How to realize automatic book classification by using computers is a critical question in digital library construction.This paper attempts to introduce the machine learning algorithms,such as BP neural network and Support Vector Machine,into the practice of book classification.A machine learning based hierarchical book classification system model is estabUshed according to the Chinese Library Classification.Related design approaches are proposed to describe a bibliography by using characteristic weighting method and the focus is on the construction of the shallow classification systems.Large-scale experiment is conducted to justify the feasibility and appropriateness of this model.This research basically solves the problem of automatically classifying books without subject indexing.展开更多
Construction of network-based academic resources is undergoing rapid development in this big data era, displaying a trend to replace digital libraries. This challenge calls for the construction of digital libraries to...Construction of network-based academic resources is undergoing rapid development in this big data era, displaying a trend to replace digital libraries. This challenge calls for the construction of digital libraries to have big data related considerations, i.e., from resource construction aspect, we should expand the resource scope, aggrandize the breadth of resource integration, and increase the depth of the resource organization and processing;from technology application aspect, we should attach great importance to the semantic technology, emphasize the application of clustering technology, widely adopt data analysis technology, and elevate the retrieval technology level;from service aspect, we need to enrich services and product categories of digital libraries, and convert the passive, and general service mode to the proactive and personalized mode. The construction of next generation digital libraries must differ from the traditional way. Comprehensive service ideas should be established;comprehensive resource services should be provided;the conventional service mode and transmission form also need to be expanded;even the librarians of digital libraries are required to become data analysts.展开更多
文摘Based on analyses on existing indicators for evaluating journals in the humanities and social sciences and our experience in constructing the Chinese Social Science Citation Index(CSSCI), we proposed a comprehensive system for evaluating Chinese academic journals in the humanities and social sciences. This system constitutes 8 primary indicators and 17 sub-indicators for multidisciplinary journals and 19 sub-indicators for discipline-specific journals. Each indicator or sub-indicator is assigned a suitable weight according to its importance in terms of measuring a journal's academic quality and/or impact.
基金one of the research results from the China National Social Science Foundation supported project"Semantic Web Ontology Oriented Knowledge Management Research"(No.09CTQ010)
文摘Faced with the ever-increasing amount of books published,the library cataloging staff feel more and more difficult to classify books manually.How to realize automatic book classification by using computers is a critical question in digital library construction.This paper attempts to introduce the machine learning algorithms,such as BP neural network and Support Vector Machine,into the practice of book classification.A machine learning based hierarchical book classification system model is estabUshed according to the Chinese Library Classification.Related design approaches are proposed to describe a bibliography by using characteristic weighting method and the focus is on the construction of the shallow classification systems.Large-scale experiment is conducted to justify the feasibility and appropriateness of this model.This research basically solves the problem of automatically classifying books without subject indexing.
基金an outcome of the project “Knowledge Service Oriented Knowledge Organization Model and Application Research”(No.71273126) supported by National Natural Science Foundation of China
文摘Construction of network-based academic resources is undergoing rapid development in this big data era, displaying a trend to replace digital libraries. This challenge calls for the construction of digital libraries to have big data related considerations, i.e., from resource construction aspect, we should expand the resource scope, aggrandize the breadth of resource integration, and increase the depth of the resource organization and processing;from technology application aspect, we should attach great importance to the semantic technology, emphasize the application of clustering technology, widely adopt data analysis technology, and elevate the retrieval technology level;from service aspect, we need to enrich services and product categories of digital libraries, and convert the passive, and general service mode to the proactive and personalized mode. The construction of next generation digital libraries must differ from the traditional way. Comprehensive service ideas should be established;comprehensive resource services should be provided;the conventional service mode and transmission form also need to be expanded;even the librarians of digital libraries are required to become data analysts.
