The evolution of the society and economy has stimulated the development of Knowledge Service(KS), making it an indispensable solution to address future challenges facing libraries and information institutions. However...The evolution of the society and economy has stimulated the development of Knowledge Service(KS), making it an indispensable solution to address future challenges facing libraries and information institutions. However at present, academic research on knowledge service is falling short and its definition is far from clear and complete. As such,this article proposes the Three-dimensional Framework Knowledge Service(TdFKS) for libraries and information institutions based on the knowledge value chain model. By making reliability analysis and mean value analysis of a questionnaire survey result, the article clarifies the structure of the three-dimensional framework and verifies the rationality of the TdFKS.展开更多
With the arrival of the information age, research activities focused on the practice and approaches of knowledge services are on a marked increase as evidenced in the publications of social sciences. According to a so...With the arrival of the information age, research activities focused on the practice and approaches of knowledge services are on a marked increase as evidenced in the publications of social sciences. According to a social network analysis on knowledge service related literature, it reveals that information and knowledge workers often fail to take such an important element as the functional role of an emotive engagement into consideration in their study of knowledge services. It has increasingly become an issue of high profile with the rapid development of digital libraries and their web-based knowledge services in China and anywhere else in the world. In order to have a clearer understanding about issues involved in knowledge servicing so as to maximize the effectiveness and efficiency of digital libraries in their knowledge service performance, the author has conducted surveys for seven times on the online information seeking behavior of graduate students at the Chinese Academy of Sciences with such research methods as questionnaires, interviews and natural observations during September 2006-June 2009. The research result has showed the emotive element has an important role in the user's information seeking behavior and in knowledge services practice. Therefore, knowledge services rendered may be more effective by adding the emotiveness-oriented communication element into such practice. This paper recommends that such an emotiveness-oriented communication approach should be carefully studied and factored into libraries' knowledge services practice.展开更多
The drastic growth of coastal observation sensors results in copious data that provide weather information.The intricacies in sensor-generated big data are heterogeneity and interpretation,driving high-end Information...The drastic growth of coastal observation sensors results in copious data that provide weather information.The intricacies in sensor-generated big data are heterogeneity and interpretation,driving high-end Information Retrieval(IR)systems.The Semantic Web(SW)can solve this issue by integrating data into a single platform for information exchange and knowledge retrieval.This paper focuses on exploiting the SWbase systemto provide interoperability through ontologies by combining the data concepts with ontology classes.This paper presents a 4-phase weather data model:data processing,ontology creation,SW processing,and query engine.The developed Oceanographic Weather Ontology helps to enhance data analysis,discovery,IR,and decision making.In addition to that,it also evaluates the developed ontology with other state-of-the-art ontologies.The proposed ontology’s quality has improved by 39.28%in terms of completeness,and structural complexity has decreased by 45.29%,11%and 37.7%in Precision and Accuracy.Indian Meteorological Satellite INSAT-3D’s ocean data is a typical example of testing the proposed model.The experimental result shows the effectiveness of the proposed data model and its advantages in machine understanding and IR.展开更多
Purpose： This paper introduces an amino acids industry knowledge service platform, which integrates industry data, science literature, and technology knowledge from patents.Design/methodology/approach： From the pers...Purpose： This paper introduces an amino acids industry knowledge service platform, which integrates industry data, science literature, and technology knowledge from patents.Design/methodology/approach： From the perspective of knowledge organization, the amino acids industry knowledge service platform comprises a basic data layer, a knowledge representation layer, and a knowledge service layer. The platform integrates heterogeneous information sources by means of a multi-dimensional integration index. It enables users to find technology knowledge from patents by employing the semantic Theory of Inventive Problem Solving （TRIZ）.Findings： This paper constructs an integrated amino acids industry database, which offers a general service oriented to the public, and a technical innovation knowledge base, which offers a value-added service oriented to enterprises.Research limitations： The technical innovation knowledge base only includes parts of amino acids technology knowledge, making it suitable to meet certain specific needs.Practical implications： Semantic annotation of technical innovation knowledge from patents requires manual work by domain experts.Originality/value： The amino acids industry knowledge service platform offers not only an integrated search service for amino acids industry information, but also a deep tech mining service for technical innovation knowledge of amino acids. It will offer a more personalized knowledge service in the future.展开更多
Management information system(MiS),a human-computer system that deeply integrates next-generation information technology and management services,has become the nerve center of society and organizations.With the develo...Management information system(MiS),a human-computer system that deeply integrates next-generation information technology and management services,has become the nerve center of society and organizations.With the development of next-generation information technology,Mis has gradually entered the smart period.However,research on smart managementinformation systems(SMIS)is still limited,lacking systematic summarization of its conceptual definition,evolution,research hotspots,and typical applications.Therefore,this paper defines the conceptual characteristics of SMIS,provides an overview of the evolution of SMIS,examines research focus areas using bibliometric methods,and elaborates on typical application practices of sMis in fields such as health care,elderly care,manufacturing,and transportation.Furthermore,we discuss the future development directions of SMIS in four key areas:smart interaction,smart decisionmaking,efficient resource allocation,and flexible system architecture.These discussions provide guidance and a foundation for the theoretical development and practical application of SMIS.展开更多
In recent years,there are some problems in science and technology management,such as untimely task supervision and independent information system,which makes it difficult to achieve accurate,quantitative and standardi...In recent years,there are some problems in science and technology management,such as untimely task supervision and independent information system,which makes it difficult to achieve accurate,quantitative and standardized management.The storage of scientific research test data is scattered,and there are many deficiencies in the management,promotion and use of existing intellectual property.In this paper,on the basis of the knowledge economy,intelligence economy under the conditions of knowledge management concept and cutting-edge technology,technology management and service management related data,information,knowledge,method of blend together.Based on science and technology management,knowledge management as the core of management and service platform of science and technology technical route,main function,construction principles and standards.In order to realize the management systematization of science and technology,intelligent,better educated,multi-level and multi-angle application services.展开更多
Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring th...Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.展开更多
生态系统文化服务(CES)作为生态系统服务的重要组成部分之一,具有连接人类、社会文化与自然,尤其是与特定区域自然环境相互联系的纽带作用,对保护生态环境和增进人类福祉具有十分重要的意义。本文使用CiteSpace软件,对Web of Science网...生态系统文化服务(CES)作为生态系统服务的重要组成部分之一,具有连接人类、社会文化与自然,尤其是与特定区域自然环境相互联系的纽带作用,对保护生态环境和增进人类福祉具有十分重要的意义。本文使用CiteSpace软件,对Web of Science网站2010—2023年369条文献数据进行主题词网络、高频和中心主题词、主题词聚类等分析,归纳了主要的CES研究类别及其主要开展的视角。结果表明,2010—2023年CES研究获得快速发展,研究对象主要为(1)位于城市内部、具有较高进入性、重视个体身心情感体验的城市公园绿地,(2)提供游憩娱乐价值、美学价值、部分精神/宗教价值的旅游地,(3)关注土地利用、景观管理和人地关系等领域的保护地;整体呈现由货币化方法向非货币化方法转向,由微观尺度向宏观微观相结合转向,由关注价值评估向关注人类感知体验转向,由单一视角研究向多学科多视角研究转向等特点。未来研究需加强多学科交叉,尤其是与人文社会科学领域的交叉研究,重视人地关系与CES的相互影响,探索CES价值实现的多元机制和模式,助力人、自然与社会的和谐统一。展开更多
基金supported by the National Planning Office of Philosophy and Social Science(Grant No.06BTQ027)
文摘The evolution of the society and economy has stimulated the development of Knowledge Service(KS), making it an indispensable solution to address future challenges facing libraries and information institutions. However at present, academic research on knowledge service is falling short and its definition is far from clear and complete. As such,this article proposes the Three-dimensional Framework Knowledge Service(TdFKS) for libraries and information institutions based on the knowledge value chain model. By making reliability analysis and mean value analysis of a questionnaire survey result, the article clarifies the structure of the three-dimensional framework and verifies the rationality of the TdFKS.
文摘With the arrival of the information age, research activities focused on the practice and approaches of knowledge services are on a marked increase as evidenced in the publications of social sciences. According to a social network analysis on knowledge service related literature, it reveals that information and knowledge workers often fail to take such an important element as the functional role of an emotive engagement into consideration in their study of knowledge services. It has increasingly become an issue of high profile with the rapid development of digital libraries and their web-based knowledge services in China and anywhere else in the world. In order to have a clearer understanding about issues involved in knowledge servicing so as to maximize the effectiveness and efficiency of digital libraries in their knowledge service performance, the author has conducted surveys for seven times on the online information seeking behavior of graduate students at the Chinese Academy of Sciences with such research methods as questionnaires, interviews and natural observations during September 2006-June 2009. The research result has showed the emotive element has an important role in the user's information seeking behavior and in knowledge services practice. Therefore, knowledge services rendered may be more effective by adding the emotiveness-oriented communication element into such practice. This paper recommends that such an emotiveness-oriented communication approach should be carefully studied and factored into libraries' knowledge services practice.
基金This work is financially supported by the Ministry of Earth Science(MoES),Government of India,(Grant.No.MoES/36/OOIS/Extra/45/2015),URL:https://www.moes.gov.in。
文摘The drastic growth of coastal observation sensors results in copious data that provide weather information.The intricacies in sensor-generated big data are heterogeneity and interpretation,driving high-end Information Retrieval(IR)systems.The Semantic Web(SW)can solve this issue by integrating data into a single platform for information exchange and knowledge retrieval.This paper focuses on exploiting the SWbase systemto provide interoperability through ontologies by combining the data concepts with ontology classes.This paper presents a 4-phase weather data model:data processing,ontology creation,SW processing,and query engine.The developed Oceanographic Weather Ontology helps to enhance data analysis,discovery,IR,and decision making.In addition to that,it also evaluates the developed ontology with other state-of-the-art ontologies.The proposed ontology’s quality has improved by 39.28%in terms of completeness,and structural complexity has decreased by 45.29%,11%and 37.7%in Precision and Accuracy.Indian Meteorological Satellite INSAT-3D’s ocean data is a typical example of testing the proposed model.The experimental result shows the effectiveness of the proposed data model and its advantages in machine understanding and IR.
基金supported by the Chinese Academy of Sciences(Grant No.KFJ-EW-ZY-008)
文摘Purpose： This paper introduces an amino acids industry knowledge service platform, which integrates industry data, science literature, and technology knowledge from patents.Design/methodology/approach： From the perspective of knowledge organization, the amino acids industry knowledge service platform comprises a basic data layer, a knowledge representation layer, and a knowledge service layer. The platform integrates heterogeneous information sources by means of a multi-dimensional integration index. It enables users to find technology knowledge from patents by employing the semantic Theory of Inventive Problem Solving （TRIZ）.Findings： This paper constructs an integrated amino acids industry database, which offers a general service oriented to the public, and a technical innovation knowledge base, which offers a value-added service oriented to enterprises.Research limitations： The technical innovation knowledge base only includes parts of amino acids technology knowledge, making it suitable to meet certain specific needs.Practical implications： Semantic annotation of technical innovation knowledge from patents requires manual work by domain experts.Originality/value： The amino acids industry knowledge service platform offers not only an integrated search service for amino acids industry information, but also a deep tech mining service for technical innovation knowledge of amino acids. It will offer a more personalized knowledge service in the future.
基金the National Natural Science Foundation of China(grant number:72131006,72071063,72271082)Anhui Provincial Key R&D Programme(grant number:2020i01020003).
文摘Management information system(MiS),a human-computer system that deeply integrates next-generation information technology and management services,has become the nerve center of society and organizations.With the development of next-generation information technology,Mis has gradually entered the smart period.However,research on smart managementinformation systems(SMIS)is still limited,lacking systematic summarization of its conceptual definition,evolution,research hotspots,and typical applications.Therefore,this paper defines the conceptual characteristics of SMIS,provides an overview of the evolution of SMIS,examines research focus areas using bibliometric methods,and elaborates on typical application practices of sMis in fields such as health care,elderly care,manufacturing,and transportation.Furthermore,we discuss the future development directions of SMIS in four key areas:smart interaction,smart decisionmaking,efficient resource allocation,and flexible system architecture.These discussions provide guidance and a foundation for the theoretical development and practical application of SMIS.
基金supported by Research on Construction of Green Building Material Information Management Platform(Grant 2016024).
文摘In recent years,there are some problems in science and technology management,such as untimely task supervision and independent information system,which makes it difficult to achieve accurate,quantitative and standardized management.The storage of scientific research test data is scattered,and there are many deficiencies in the management,promotion and use of existing intellectual property.In this paper,on the basis of the knowledge economy,intelligence economy under the conditions of knowledge management concept and cutting-edge technology,technology management and service management related data,information,knowledge,method of blend together.Based on science and technology management,knowledge management as the core of management and service platform of science and technology technical route,main function,construction principles and standards.In order to realize the management systematization of science and technology,intelligent,better educated,multi-level and multi-angle application services.
基金support of the European Commission ETER Project (No. 934533-2017-AO8-CH)H2020 RISIS 2 project (No. 824091)。
文摘Purpose: This paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register(ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approach: The proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability of multiannual data. This methodology has an operational and empirical orientation. This means that the proposed checks do not assume any theoretical distribution for the determination of the threshold parameters that identify potential outliers, inconsistencies, and errors in the data. Findings: We show that the proposed cross-sectional checks and multiannual checks are helpful to identify outliers, extreme observations and to detect ontological inconsistencies not described in the available meta-data. For this reason, they may be a useful complement to integrate the processing of the available information.Research limitations: The coverage of the study is limited to European Higher Education Institutions. The cross-sectional and multiannual checks are not yet completely integrated.Practical implications: The consideration of the quality of the available data and information is important to enhance data quality-aware empirical investigations, highlighting problems, and areas where to invest for improving the coverage and interoperability of data in future data collection initiatives.Originality/value: The data-driven quality checks proposed in this paper may be useful as a reference for building and monitoring the data quality of new databases or of existing databases available for other countries or systems characterized by high heterogeneity and complexity of the units of analysis without relying on pre-specified theoretical distributions.
文摘生态系统文化服务(CES)作为生态系统服务的重要组成部分之一,具有连接人类、社会文化与自然,尤其是与特定区域自然环境相互联系的纽带作用,对保护生态环境和增进人类福祉具有十分重要的意义。本文使用CiteSpace软件,对Web of Science网站2010—2023年369条文献数据进行主题词网络、高频和中心主题词、主题词聚类等分析,归纳了主要的CES研究类别及其主要开展的视角。结果表明,2010—2023年CES研究获得快速发展,研究对象主要为(1)位于城市内部、具有较高进入性、重视个体身心情感体验的城市公园绿地,(2)提供游憩娱乐价值、美学价值、部分精神/宗教价值的旅游地,(3)关注土地利用、景观管理和人地关系等领域的保护地;整体呈现由货币化方法向非货币化方法转向,由微观尺度向宏观微观相结合转向,由关注价值评估向关注人类感知体验转向,由单一视角研究向多学科多视角研究转向等特点。未来研究需加强多学科交叉,尤其是与人文社会科学领域的交叉研究,重视人地关系与CES的相互影响,探索CES价值实现的多元机制和模式,助力人、自然与社会的和谐统一。
