Online technologies have facilitated the development of Virtual Communities of Practice (virtual CoPs) to support health professionals collaborate online to share knowledge, improve performance and support the spread ...Online technologies have facilitated the development of Virtual Communities of Practice (virtual CoPs) to support health professionals collaborate online to share knowledge, improve performance and support the spread of innovation and best practices. Research, however,shows that many virtual CoPs do not achieve their expected potential because online interaction among healthcare professionals is generally low. Focusing on health visitors, who are UK qualified midwives or nurses who have undertaken additional qualifications as specialist public health workers in the community, the paper examines the factors that influence online interaction among health visitors collaborating to share knowledge and experience in a virtual CoP. The paper makes suggestions for how to improve online interaction among health professionals in virtual CoPs by increasing the size of membership in order to take advantage of both posting and viewing contributions, facilitating moderation to improve networking among geographically dispersed members groups and im-proving the topic relevance in order to stimulate contributions.展开更多
Ontologies of research areas are important tools for characterizing,exploring,and analyzing the research landscape.Some fields of research are comprehensively described by large-scale taxonomies,e.g.,MeSH in Biology a...Ontologies of research areas are important tools for characterizing,exploring,and analyzing the research landscape.Some fields of research are comprehensively described by large-scale taxonomies,e.g.,MeSH in Biology and PhySH in Physics.Conversely,current Computer Science taxonomies are coarse-grained and tend to evolve slowly.For instance,the ACM classification scheme contains only about 2K research topics and the last version dates back to 2012.In this paper,we introduce the Computer Science Ontology(CSO),a large-scale,automatically generated ontology of research areas,which includes about 14K topics and 162K semantic relationships.It was created by applying the Klink-2 algorithm on a very large data set of 16M scientific articles.CSO presents two main advantages over the alternatives:i)it includes a very large number of topics that do not appear in other classifications,and ii)it can be updated automatically by running Klink-2 on recent corpora of publications.CSO powers several tools adopted by the editorial team at Springer Nature and has been used to enable a variety of solutions,such as classifying research publications,detecting research communities,and predicting research trends.To facilitate the uptake of CSO,we have also released the CSO Classifier,a tool for automatically classifying research papers,and the CSO Portal,a Web application that enables users to download,explore,and provide granular feedback on CSO.Users can use the portal to navigate and visualize sections of the ontology,rate topics and relationships,and suggest missing ones.The portal will support the publication of and access to regular new releases of CSO,with the aim of providing a comprehensive resource to the various research communities engaged with scholarly data.展开更多
文摘Online technologies have facilitated the development of Virtual Communities of Practice (virtual CoPs) to support health professionals collaborate online to share knowledge, improve performance and support the spread of innovation and best practices. Research, however,shows that many virtual CoPs do not achieve their expected potential because online interaction among healthcare professionals is generally low. Focusing on health visitors, who are UK qualified midwives or nurses who have undertaken additional qualifications as specialist public health workers in the community, the paper examines the factors that influence online interaction among health visitors collaborating to share knowledge and experience in a virtual CoP. The paper makes suggestions for how to improve online interaction among health professionals in virtual CoPs by increasing the size of membership in order to take advantage of both posting and viewing contributions, facilitating moderation to improve networking among geographically dispersed members groups and im-proving the topic relevance in order to stimulate contributions.
文摘Ontologies of research areas are important tools for characterizing,exploring,and analyzing the research landscape.Some fields of research are comprehensively described by large-scale taxonomies,e.g.,MeSH in Biology and PhySH in Physics.Conversely,current Computer Science taxonomies are coarse-grained and tend to evolve slowly.For instance,the ACM classification scheme contains only about 2K research topics and the last version dates back to 2012.In this paper,we introduce the Computer Science Ontology(CSO),a large-scale,automatically generated ontology of research areas,which includes about 14K topics and 162K semantic relationships.It was created by applying the Klink-2 algorithm on a very large data set of 16M scientific articles.CSO presents two main advantages over the alternatives:i)it includes a very large number of topics that do not appear in other classifications,and ii)it can be updated automatically by running Klink-2 on recent corpora of publications.CSO powers several tools adopted by the editorial team at Springer Nature and has been used to enable a variety of solutions,such as classifying research publications,detecting research communities,and predicting research trends.To facilitate the uptake of CSO,we have also released the CSO Classifier,a tool for automatically classifying research papers,and the CSO Portal,a Web application that enables users to download,explore,and provide granular feedback on CSO.Users can use the portal to navigate and visualize sections of the ontology,rate topics and relationships,and suggest missing ones.The portal will support the publication of and access to regular new releases of CSO,with the aim of providing a comprehensive resource to the various research communities engaged with scholarly data.
