In the field of public security,the standardized use of police equipment can better assist the public security police in performing their duties.With the advancement of science and technology of the times,police equip...In the field of public security,the standardized use of police equipment can better assist the public security police in performing their duties.With the advancement of science and technology of the times,police equipment is also constantly developing,and more and more new types of police equipment have appeared.Nowadays,there are a large number and variety of police equipment,and public security police are facing the challenge of mastering and updating equipment knowledge.This article builds a knowledge base of police equipment based on the knowledge of opening source data on the Internet,uses a variety of databases to store knowledge,and presents knowledge of police equipment in the formof knowledge queries,innovatively applying the concept of knowledge base to police Knowledge of equipment in science.Knowledge is presented in three modules:encyclopedia knowledge,question answering knowledge,and product knowledge,which can answer the description questions and experience questions of police equipment.The query accuracy rate for the physical problems of police equipment is 70%,and the query accuracy rate of the experience problems of police equipment is 90%.The design and implementation of the system solves the problem of knowledge fusion in the field of police equipment in opening source data,and at the same time can help the police to sort out the knowledge structure of police equipment,fully understand the police equipment,and better serve public security Field related work.展开更多
A key goal of knowledge management(KM)is to foster innovation through the ceation of new knowledge.Surprisingly,there is little research on KM in the context of entrepre-neurship,a domain where innovation is considere...A key goal of knowledge management(KM)is to foster innovation through the ceation of new knowledge.Surprisingly,there is little research on KM in the context of entrepre-neurship,a domain where innovation is considered essential.This paper extends estab-lished theories and frameworks for KM to the understudied context of KM in small and medium entrepreneurial firms,particularly young startups.Translating KM fr ameworks,such as the widely studied SECI model,into the entrepreneurial domain could eventually help startups in their quest for sustainability and growth.The SECI model is an aspir ational process with which to build new knowledge,including the explicit knowledge assets that startups commonly lack.However,an aspiration is only useful if the subject knows where he or she stands in relation to it.This study focuses on understanding whether entre-preneurial activities embed into,and can further enable,the"virtuous"knowledge-creation cycle.The secondary objective of this paper is to acknowledge Ikujiro Nonaka's contribution to western and eastern KM theories,and extend his seminal theories into other domains,such as small and medium enterprises.This work pilots the use of a content analysis technique largely used in psychology to analyze the connection between entrepreneurship and KM.With this method,the study highlights how the four phases of the SECI model apply to startup firms in a business incubator in the United States.It provides insights into the knowledge-creation process of entrepreneurs,and suggests how entrepreneurs can improve startup survival through greater awareness and use of KM in their business planning and operational activities.展开更多
基金This work was supported by Ministry of public security technology research program[Grant No.2020JSYJC22ok]Fundamental Research Funds for the Central Universities(No.2021JKF215)+1 种基金Open Research Fund of the Public Security Behavioral Science Laboratory,People’s Public Security University of China(2020SYS03)Police and people build/share a smart community(PJ13-201912-0525).
文摘In the field of public security,the standardized use of police equipment can better assist the public security police in performing their duties.With the advancement of science and technology of the times,police equipment is also constantly developing,and more and more new types of police equipment have appeared.Nowadays,there are a large number and variety of police equipment,and public security police are facing the challenge of mastering and updating equipment knowledge.This article builds a knowledge base of police equipment based on the knowledge of opening source data on the Internet,uses a variety of databases to store knowledge,and presents knowledge of police equipment in the formof knowledge queries,innovatively applying the concept of knowledge base to police Knowledge of equipment in science.Knowledge is presented in three modules:encyclopedia knowledge,question answering knowledge,and product knowledge,which can answer the description questions and experience questions of police equipment.The query accuracy rate for the physical problems of police equipment is 70%,and the query accuracy rate of the experience problems of police equipment is 90%.The design and implementation of the system solves the problem of knowledge fusion in the field of police equipment in opening source data,and at the same time can help the police to sort out the knowledge structure of police equipment,fully understand the police equipment,and better serve public security Field related work.
文摘A key goal of knowledge management(KM)is to foster innovation through the ceation of new knowledge.Surprisingly,there is little research on KM in the context of entrepre-neurship,a domain where innovation is considered essential.This paper extends estab-lished theories and frameworks for KM to the understudied context of KM in small and medium entrepreneurial firms,particularly young startups.Translating KM fr ameworks,such as the widely studied SECI model,into the entrepreneurial domain could eventually help startups in their quest for sustainability and growth.The SECI model is an aspir ational process with which to build new knowledge,including the explicit knowledge assets that startups commonly lack.However,an aspiration is only useful if the subject knows where he or she stands in relation to it.This study focuses on understanding whether entre-preneurial activities embed into,and can further enable,the"virtuous"knowledge-creation cycle.The secondary objective of this paper is to acknowledge Ikujiro Nonaka's contribution to western and eastern KM theories,and extend his seminal theories into other domains,such as small and medium enterprises.This work pilots the use of a content analysis technique largely used in psychology to analyze the connection between entrepreneurship and KM.With this method,the study highlights how the four phases of the SECI model apply to startup firms in a business incubator in the United States.It provides insights into the knowledge-creation process of entrepreneurs,and suggests how entrepreneurs can improve startup survival through greater awareness and use of KM in their business planning and operational activities.
