This paper presents a knowledge service system for the domain of agriculture. Three key issues for providing knowledge services are how to improve the access of unstructured and scattered information for the non-speci...This paper presents a knowledge service system for the domain of agriculture. Three key issues for providing knowledge services are how to improve the access of unstructured and scattered information for the non-specialist users, how to provide adequate information to knowledge workers and how to provide the information requiring highly focused and related information. Cyber-Brain has been designed as a platform that combines approaches based on knowledge engineering and language engineering to gather knowledge from various sources and to provide the effective knowledge service. Based on specially designed ontology for practical service scenarios, it can aggregate knowledge from Internet, digital archives, expert, and other resources for providing one-stop-shop knowledge services. The domain specific and task oriented ontology also enables advanced search and allows the system ensures that knowledge service could improve the user benefit. Users are presented with the necessary information closely related to their information need and thus of potential high interest. This paper presents several service scenarios for different end-users and reviews ontology engineering and its life cycle for supporting AOS (Agricultural Ontology Services) Vocbench which is the heart of knowledge services in agriculture domain.展开更多
On the basis of defining related concepts concerning human resources in rural public service departments,this paper analyses the overall status quo of human resources in China's rural public service departments an...On the basis of defining related concepts concerning human resources in rural public service departments,this paper analyses the overall status quo of human resources in China's rural public service departments and points out the problems existing in human resources in China's rural public service departments during new countryside construction as follows:first,the constitution structure is not rational;second,the cultural quality of staff is universally low,and the business capacity remains to be promoted;third,the improvement of human resources development environment lags behind,and the supporting reform is short.In the context of new countryside construction,the opportunities faced by the human resources in China's rural public service departments are as follows:China has elevated strengthening new countryside construction and rural talents construction as important state development strategy;the ideas of service-oriented government and learning-oriented government are put forward;civil servant system is overhauled.Therefore,I advance the development strategy of human resources in China's rural public service departments as follows:implement elastic personnel system reform in public service departments(including civil servant positions in department),to form the public service personnel system of "able one comes in,mediocre one moves over and shiftless one steps down";audaciously promote young and middle-aged grass-roots cadres with strong business ability,high political quality,acute judgement and decision-making ability;build learning-oriented grass-roots public service organization,to make the staff in rural pubic service departments study assiduously and progress;broaden horizon,and build the human resources development system geared to international standards;in developed regions,the human resources in grass-roots public service departments should introduce enterprise competition model.展开更多
It is common in industrial construction projects for data to be collected and discarded without being analyzed to extract useful knowledge. A proposed integrated methodology based on a five-step Knowledge Discovery in...It is common in industrial construction projects for data to be collected and discarded without being analyzed to extract useful knowledge. A proposed integrated methodology based on a five-step Knowledge Discovery in Data (KDD) model was developed to address this issue. The framework transfers existing multidimensional historical data from completed projects into useful knowledge for future projects. The model starts by understanding the problem domain, industrial construction projects. The second step is analyzing the problem data and its multiple dimensions. The target dataset is the labour resources data generated while managing industrial construction projects. The next step is developing the data collection model and prototype data ware-house. The data warehouse stores collected data in a ready-for-mining format and produces dynamic On Line Analytical Processing (OLAP) reports and graphs. Data was collected from a large western-Canadian structural steel fabricator to prove the applicability of the developed methodology. The proposed framework was applied to three different case studies to validate the applicability of the developed framework to real projects data.展开更多
文摘This paper presents a knowledge service system for the domain of agriculture. Three key issues for providing knowledge services are how to improve the access of unstructured and scattered information for the non-specialist users, how to provide adequate information to knowledge workers and how to provide the information requiring highly focused and related information. Cyber-Brain has been designed as a platform that combines approaches based on knowledge engineering and language engineering to gather knowledge from various sources and to provide the effective knowledge service. Based on specially designed ontology for practical service scenarios, it can aggregate knowledge from Internet, digital archives, expert, and other resources for providing one-stop-shop knowledge services. The domain specific and task oriented ontology also enables advanced search and allows the system ensures that knowledge service could improve the user benefit. Users are presented with the necessary information closely related to their information need and thus of potential high interest. This paper presents several service scenarios for different end-users and reviews ontology engineering and its life cycle for supporting AOS (Agricultural Ontology Services) Vocbench which is the heart of knowledge services in agriculture domain.
文摘On the basis of defining related concepts concerning human resources in rural public service departments,this paper analyses the overall status quo of human resources in China's rural public service departments and points out the problems existing in human resources in China's rural public service departments during new countryside construction as follows:first,the constitution structure is not rational;second,the cultural quality of staff is universally low,and the business capacity remains to be promoted;third,the improvement of human resources development environment lags behind,and the supporting reform is short.In the context of new countryside construction,the opportunities faced by the human resources in China's rural public service departments are as follows:China has elevated strengthening new countryside construction and rural talents construction as important state development strategy;the ideas of service-oriented government and learning-oriented government are put forward;civil servant system is overhauled.Therefore,I advance the development strategy of human resources in China's rural public service departments as follows:implement elastic personnel system reform in public service departments(including civil servant positions in department),to form the public service personnel system of "able one comes in,mediocre one moves over and shiftless one steps down";audaciously promote young and middle-aged grass-roots cadres with strong business ability,high political quality,acute judgement and decision-making ability;build learning-oriented grass-roots public service organization,to make the staff in rural pubic service departments study assiduously and progress;broaden horizon,and build the human resources development system geared to international standards;in developed regions,the human resources in grass-roots public service departments should introduce enterprise competition model.
文摘It is common in industrial construction projects for data to be collected and discarded without being analyzed to extract useful knowledge. A proposed integrated methodology based on a five-step Knowledge Discovery in Data (KDD) model was developed to address this issue. The framework transfers existing multidimensional historical data from completed projects into useful knowledge for future projects. The model starts by understanding the problem domain, industrial construction projects. The second step is analyzing the problem data and its multiple dimensions. The target dataset is the labour resources data generated while managing industrial construction projects. The next step is developing the data collection model and prototype data ware-house. The data warehouse stores collected data in a ready-for-mining format and produces dynamic On Line Analytical Processing (OLAP) reports and graphs. Data was collected from a large western-Canadian structural steel fabricator to prove the applicability of the developed methodology. The proposed framework was applied to three different case studies to validate the applicability of the developed framework to real projects data.