The development of network and information technology has brought changes to the production environment of scientific and technological information,leading to the integration of multi-type scien-tific and technologica...The development of network and information technology has brought changes to the production environment of scientific and technological information,leading to the integration of multi-type scien-tific and technological information,which has become one of the primary research focuses in the cur-rent field of scientific and technological information analysis.This article proposes a basic mode to realize the fusion of multi-type scientific and technological information,expounds the corresponding basic construction method,and applies it to the scientific and technological topics identification in the field of artificial intelligence(AI).The research results show that the multi-type scientific and technological information fusion mode proposed in this article has certain feasibility in specific appli-cation scenarios,which lays a foundation for the subsequent research work.展开更多
Named entity recognition(NER)is a fundamental task of information extraction(IE),and it has attracted considerable research attention in recent years.The abundant annotated English NER datasets have significantly prom...Named entity recognition(NER)is a fundamental task of information extraction(IE),and it has attracted considerable research attention in recent years.The abundant annotated English NER datasets have significantly promoted the NER research in the English field.By contrast,much fewer efforts are made to the Chinese NER research,especially in the scientific domain,due to the scarcity of Chinese NER datasets.To alleviate this problem,we present aChinese scientificNER dataset–SciCN,which contains entity annotations of titles and abstracts derived from 3,500 scientific papers.We manually annotate a total of 62,059 entities,and these entities are classified into six types.Compared to English scientific NER datasets,SciCN has a larger scale and is more diverse,for it not only contains more paper abstracts but these abstracts are derived from more research fields.To investigate the properties of SciCN and provide baselines for future research,we adapt a number of previous state-of-theart Chinese NER models to evaluate SciCN.Experimental results show that SciCN is more challenging than other Chinese NER datasets.In addition,previous studies have proven the effectiveness of using lexicons to enhance Chinese NER models.Motivated by this fact,we provide a scientific domain-specific lexicon.Validation results demonstrate that our lexicon delivers better performance gains than lexicons of other domains.We hope that the SciCN dataset and the lexicon will enable us to benchmark the NER task regarding the Chinese scientific domain and make progress for future research.The dataset and lexicon are available at:https://github.com/yangjingla/SciCN.git.展开更多
‘Empowerment’is the result of pursuing special capabilities under a specific value orientation.The changes in related object capabilities triggered by scientific and technical information activities in the new envir...‘Empowerment’is the result of pursuing special capabilities under a specific value orientation.The changes in related object capabilities triggered by scientific and technical information activities in the new environment are important to the national scientific and technical(S&T)information governance.Based on the empowerment theories and evaluation practices,this study attempts to construct an empowerment evaluation framework for national S&T information governance and takes the participatory technology assessment and Altmetrics methods as examples to demonstrate its advantages:1)The capability changes and development potential are regarded as important basis for evaluation;2)The multi-person participation and multi-indicator comprehensive evaluation method is conducive to the democratic and objective nature of science and technology information governance policy formulation.展开更多
On December 22, 2010, an E-mail by Dr. Elena Raevskaya, the manager of Asia and Africa Section, All-Russian Institute of Scientific and Technical Information （V1NITI）, was sent to Journal Publishing Center, Xinjiang...On December 22, 2010, an E-mail by Dr. Elena Raevskaya, the manager of Asia and Africa Section, All-Russian Institute of Scientific and Technical Information （V1NITI）, was sent to Journal Publishing Center, Xinjiang Insti- tute of Ecology and Geography, CAS and said “Here is some new information about the Chinese journals evaluated by our experts. Ten journals have been found informative and useful in our work and have been included in VINITI database for regular abstraction （some of these journals were reexamined by expertise）.”展开更多
Purpose: This paper aims to explore best practices in academic and research libraries in providing information literacy(IL) instruction to science and engineering graduate students.Design/methodology/approach: Using t...Purpose: This paper aims to explore best practices in academic and research libraries in providing information literacy(IL) instruction to science and engineering graduate students.Design/methodology/approach: Using the questionnaire survey method, we conducted an IL assessment study on 114 graduate students enrolling in graduate courses offered by College of Chemistry and Chemical Engineering, Graduate University of Chinese Academy of Sciences(GUCAS).Findings: The current situation of graduate students' IL competencies and the need to develop them are revealed. An IL course was designed by subject librarians of National Science Library(NSL), Chinese Academy of Sciences(CAS), with three patterns addressing the development of graduate students' IL competencies.Research limitations: It is only about the practice of subject librarians at NSL, CAS, in designing IL courses for graduate students enrolling in graduate courses offered by College of Chemistry and Chemical Engineering, GUCAS.Practical implications: The results can provide a lot of useful information for the improvement of IL competencies of graduate students in science and technology disciplines.Originality/value: It is significant for assisting future subject librarians in incorporating IL skills into their course, especially for academic and research librarians to prepare and develop IL courses for science and engineering graduate students.展开更多
This article attempts to apply the strategic management theory to the subsequent shaping up of a readjusted strategic development policy for Shanghai Library after its merger with the Institute of Scientific and Techn...This article attempts to apply the strategic management theory to the subsequent shaping up of a readjusted strategic development policy for Shanghai Library after its merger with the Institute of Scientific and Technological Information of Shanghai(ISTIS)in 1995.It also tries to analyze and explicate such an empirical implementation of institutional reintegration process through strategic management at Shanghai Metropolitan Library.By doing so,it aims to present an objective case study of activities based on the strategic management paradigm at a major Chinese metropolitan public library.展开更多
This paper introduces the Scientific Electronic Library Online (SciELO) program and its three main objectives. Then the paper presents the methodology of open access to scientific information by the SciELO. At last, i...This paper introduces the Scientific Electronic Library Online (SciELO) program and its three main objectives. Then the paper presents the methodology of open access to scientific information by the SciELO. At last, it shows the perspectives of open access in developing countries.展开更多
Aiming at the lack of classification and good standard corpus in the task of joint entity and relationship extraction in the current Chinese academic field, this paper builds a dataset in management science that can b...Aiming at the lack of classification and good standard corpus in the task of joint entity and relationship extraction in the current Chinese academic field, this paper builds a dataset in management science that can be used for joint entity and relationship extraction, and establishes a deep learning model to extract entity and relationship information from scientific texts. With the definition of entity and relation classification, we build a Chinese scientific text corpus dataset based on the abstract texts of projects funded by the National Natural Science Foundation of China(NSFC) in 2018–2019. By combining the word2vec features with the clue word feature which is a kind of special style in scientific documents, we establish a joint entity relationship extraction model based on the Bi LSTM-CNN-CRF model for scientific information extraction. The dataset we constructed contains 13060 entities(not duplicated) and 9728 entity relation labels. In terms of entity prediction effect, the accuracy rate of the constructed model reaches 69.15%, the recall rate reaches 61.03%, and the F1 value reaches 64.83%. In terms of relationship prediction effect, the accuracy rate is higher than that of entity prediction, which reflects the effectiveness of the input mixed features and the integration of local features with CNN layer in the model.展开更多
In France, the movement in favour of open access to scientific research output is getting increasingly coordinated and supported at the political level. The CNRS, a leading research organization in Europe and signator...In France, the movement in favour of open access to scientific research output is getting increasingly coordinated and supported at the political level. The CNRS, a leading research organization in Europe and signatory of the Berlin Declaration, has an evident strategic role to play in this development. Various initiatives that have emerged in the French academic world in recent years have led, for example, in early 2005 to the joint announcement, by four major research institutions, of a common policy to promote open access to published material and other types of digital resources, and to set up institutional archives. The article highlights some key issues of this policy, gives an overview of the current and past CNRS involvement in open access and describes the principal functions, as well as the related challenges, of the future institutional repositories.展开更多
基金Supported by the National Natural Science Foundation of China(No.72074201).
文摘The development of network and information technology has brought changes to the production environment of scientific and technological information,leading to the integration of multi-type scien-tific and technological information,which has become one of the primary research focuses in the cur-rent field of scientific and technological information analysis.This article proposes a basic mode to realize the fusion of multi-type scientific and technological information,expounds the corresponding basic construction method,and applies it to the scientific and technological topics identification in the field of artificial intelligence(AI).The research results show that the multi-type scientific and technological information fusion mode proposed in this article has certain feasibility in specific appli-cation scenarios,which lays a foundation for the subsequent research work.
基金This research was supported by the National Key Research and Development Program[2020YFB1006302].
文摘Named entity recognition(NER)is a fundamental task of information extraction(IE),and it has attracted considerable research attention in recent years.The abundant annotated English NER datasets have significantly promoted the NER research in the English field.By contrast,much fewer efforts are made to the Chinese NER research,especially in the scientific domain,due to the scarcity of Chinese NER datasets.To alleviate this problem,we present aChinese scientificNER dataset–SciCN,which contains entity annotations of titles and abstracts derived from 3,500 scientific papers.We manually annotate a total of 62,059 entities,and these entities are classified into six types.Compared to English scientific NER datasets,SciCN has a larger scale and is more diverse,for it not only contains more paper abstracts but these abstracts are derived from more research fields.To investigate the properties of SciCN and provide baselines for future research,we adapt a number of previous state-of-theart Chinese NER models to evaluate SciCN.Experimental results show that SciCN is more challenging than other Chinese NER datasets.In addition,previous studies have proven the effectiveness of using lexicons to enhance Chinese NER models.Motivated by this fact,we provide a scientific domain-specific lexicon.Validation results demonstrate that our lexicon delivers better performance gains than lexicons of other domains.We hope that the SciCN dataset and the lexicon will enable us to benchmark the NER task regarding the Chinese scientific domain and make progress for future research.The dataset and lexicon are available at:https://github.com/yangjingla/SciCN.git.
基金Supported by the National Social Science Fund of China(No.16BTQ058)
文摘‘Empowerment’is the result of pursuing special capabilities under a specific value orientation.The changes in related object capabilities triggered by scientific and technical information activities in the new environment are important to the national scientific and technical(S&T)information governance.Based on the empowerment theories and evaluation practices,this study attempts to construct an empowerment evaluation framework for national S&T information governance and takes the participatory technology assessment and Altmetrics methods as examples to demonstrate its advantages:1)The capability changes and development potential are regarded as important basis for evaluation;2)The multi-person participation and multi-indicator comprehensive evaluation method is conducive to the democratic and objective nature of science and technology information governance policy formulation.
文摘On December 22, 2010, an E-mail by Dr. Elena Raevskaya, the manager of Asia and Africa Section, All-Russian Institute of Scientific and Technical Information （V1NITI）, was sent to Journal Publishing Center, Xinjiang Insti- tute of Ecology and Geography, CAS and said “Here is some new information about the Chinese journals evaluated by our experts. Ten journals have been found informative and useful in our work and have been included in VINITI database for regular abstraction （some of these journals were reexamined by expertise）.”
文摘Purpose: This paper aims to explore best practices in academic and research libraries in providing information literacy(IL) instruction to science and engineering graduate students.Design/methodology/approach: Using the questionnaire survey method, we conducted an IL assessment study on 114 graduate students enrolling in graduate courses offered by College of Chemistry and Chemical Engineering, Graduate University of Chinese Academy of Sciences(GUCAS).Findings: The current situation of graduate students' IL competencies and the need to develop them are revealed. An IL course was designed by subject librarians of National Science Library(NSL), Chinese Academy of Sciences(CAS), with three patterns addressing the development of graduate students' IL competencies.Research limitations: It is only about the practice of subject librarians at NSL, CAS, in designing IL courses for graduate students enrolling in graduate courses offered by College of Chemistry and Chemical Engineering, GUCAS.Practical implications: The results can provide a lot of useful information for the improvement of IL competencies of graduate students in science and technology disciplines.Originality/value: It is significant for assisting future subject librarians in incorporating IL skills into their course, especially for academic and research librarians to prepare and develop IL courses for science and engineering graduate students.
文摘This article attempts to apply the strategic management theory to the subsequent shaping up of a readjusted strategic development policy for Shanghai Library after its merger with the Institute of Scientific and Technological Information of Shanghai(ISTIS)in 1995.It also tries to analyze and explicate such an empirical implementation of institutional reintegration process through strategic management at Shanghai Metropolitan Library.By doing so,it aims to present an objective case study of activities based on the strategic management paradigm at a major Chinese metropolitan public library.
文摘This paper introduces the Scientific Electronic Library Online (SciELO) program and its three main objectives. Then the paper presents the methodology of open access to scientific information by the SciELO. At last, it shows the perspectives of open access in developing countries.
基金Supported by the National Natural Science Foundation of China (71804017)the R&D Program of Beijing Municipal Education Commission (KZ202210005013)the Sichuan Social Science Planning Project (SC22B151)。
文摘Aiming at the lack of classification and good standard corpus in the task of joint entity and relationship extraction in the current Chinese academic field, this paper builds a dataset in management science that can be used for joint entity and relationship extraction, and establishes a deep learning model to extract entity and relationship information from scientific texts. With the definition of entity and relation classification, we build a Chinese scientific text corpus dataset based on the abstract texts of projects funded by the National Natural Science Foundation of China(NSFC) in 2018–2019. By combining the word2vec features with the clue word feature which is a kind of special style in scientific documents, we establish a joint entity relationship extraction model based on the Bi LSTM-CNN-CRF model for scientific information extraction. The dataset we constructed contains 13060 entities(not duplicated) and 9728 entity relation labels. In terms of entity prediction effect, the accuracy rate of the constructed model reaches 69.15%, the recall rate reaches 61.03%, and the F1 value reaches 64.83%. In terms of relationship prediction effect, the accuracy rate is higher than that of entity prediction, which reflects the effectiveness of the input mixed features and the integration of local features with CNN layer in the model.
文摘In France, the movement in favour of open access to scientific research output is getting increasingly coordinated and supported at the political level. The CNRS, a leading research organization in Europe and signatory of the Berlin Declaration, has an evident strategic role to play in this development. Various initiatives that have emerged in the French academic world in recent years have led, for example, in early 2005 to the joint announcement, by four major research institutions, of a common policy to promote open access to published material and other types of digital resources, and to set up institutional archives. The article highlights some key issues of this policy, gives an overview of the current and past CNRS involvement in open access and describes the principal functions, as well as the related challenges, of the future institutional repositories.
