Research on Agricultural Ontology and Fusion Rules Based Knowledge Fusion Framework

Currently, knowledge-based sharing and service system has been a hot issue and knowledge fusion, especially for implicit knowledge discovery, becomes the core of knowledge processing and optimization in the system. In the research, a knowledge fusion framework based on agricultural ontology and fusion rules was pro- posed, including knowledge extraction, clearing and annotation modules based on a- gricultural ontology, fusion rule construction, choosing and evaluation modules based on agricultural ontology and knowledge fusion module for users＇ demands. Finally, the significance of the framework to system of agricultural knowledge services was proved with the help of a case.

Establishment of the Agricultural Knowledge Management System in the Knowledge-oriented Government

In order to optimizing the process of the government agricultural decision-making, based on the theories and technologies of the knowledge management, the meaning of the knowledge-based government is firstly analyzed. Combining with the detailed requirements of government for agricultural knowledge management, an agricultural knowledge management system including the agricultural knowledge sharing system, the agricultural Web data-mining system and the agricultural expert decision system is established in the paper.

Construction of the Ontology-Based Agricultural Knowledge Management System

Ontology is the formal representation of concepts and their mutual relations. It has wide application potential in the classification of agricultural information, the construction of information and knowledge database, the research and development of intelligent search engine, as well as the realization of cooperative information service, etc. In this research, an ontology-based agricultural knowledge management system framework is proposed, which includes modules of ontology-based knowledge acquisition, knowledge representation, knowledge organization, and knowledge mining, etc. The key technologies, building tools and applications of the framework are explored. Future researches on the theoretical refinement and intelligent simulation knowledge service are also envisioned.

Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework

The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework （KDF）, and introduces an integrated development environment （IDE） named large-scale ontology development environment （LODE）, which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was

The Knowledge Management Research of Agricultural Scientific Research Institution

Based on the perception of knowledge management from experts specializing in different fields,and experts at home and abroad,the knowledge management of agricultural scientific research institution can build new platform,offer new approach for realization of explicit or tacit knowledge,and promote resilience and innovative ability of scientific research institution.The thesis has introduced functions of knowledge management research of agricultural science.First,it can transform the tacit knowledge into explicit knowledge.Second,it can make all the scientific personnel share knowledge.Third,it is beneficial to the development of prototype system of knowledge management.Fourth,it mainly researches the realization of knowledge management system.Fifth,it can manage the external knowledge via competitive intelligence.Sixth,it can foster talents of knowledge management for agricultural scientific research institution.Seventh,it offers the decision-making service for leaders to manage scientific program.The thesis also discusses the content of knowledge management of agricultural scientific research institution as follows:production and innovation of knowledge;attainment and organizing of knowledge;dissemination and share of knowledge;management of human resources and the construction and management of infrastructure.We have put forward corresponding countermeasures to further reinforce the knowledge management research of agricultural scientific research institution.

Knowledge Representation and Fuzzy Reasoning of an Agricultural Expert System

The design scheme of an agricultural expert system based on longan and cauliflower planting techniques is presented. Using an object-oriented design and a combination of the techniques in multimedia, database, expert system and artificial intelligence, an in-depth analysis and summary are made of the knowledge features of die agricultural multimedia expert system and data models involved. According to the practical problems in agricultural field, the architectures and functions of the system are designed, and some design ideas about the hybrid knowledge representation and fuzzy reasoning are proposed.

A Weakly-Supervised Method for Named Entity Recognition of Agricultural Knowledge Graph

It is significant for agricultural intelligent knowledge services using knowledge graph technology to integrate multi-source heterogeneous crop and pest data and fully mine the knowledge hidden in the text.However,only some labeled data for agricultural knowledge graph domain training are available.Furthermore,labeling is costly due to the need for more data openness and standardization.This paper proposes a novel model using knowledge distillation for a weakly supervised entity recognition in ontology construction.Knowledge distillation between the target and source data domain is performed,where Bi-LSTM and CRF models are constructed for entity recognition.The experimental result is shown that we only need to label less than one-tenth of the data for model training.Furthermore,the agricultural domain ontology is constructed by BILSTM-CRF named entity recognition model and relationship extraction model.Moreover,there are a total of 13,983 entities and 26,498 relationships built in the neo4j graph database.

Intelligent Recommendation and Matching Method for Agricultural Knowledge Based on Context-Aware Models

The personalized recommendation of the cloud platform for agricultural knowledge and agricultural intelligent service is one of the core technologies for the development of smart agriculture.Revealing the implicit laws and dynamic characteristics of agricultural knowledge demand is a key problem to be solved urgently.In order to enhance the matching ability of knowledge recommendation and service in human-computer interaction of cloud platform,the mechanism of agricultural knowledge intelligent recommendation service integrated with context-aware model was analyzed.By combining context data acquisition,data analysis and matching,and personalized knowledge recommendation,a framework for agricultural knowledge recommendation service is constructed to improve the ability to extract multidimensional information features and predict sequence data.Using the cloud platform for agricultural knowledge and agricultural intelligent service,this research aims to deliver interesting video service content to users in order to solve key problems faced by farmers,including planting technology,disease control,expert advice,etc.Then the knowledge needs of different users can be met and user satisfaction can be improved.

The Relationship between Customer Knowledge Management and Performance of Agricultural Product Innovation

This paper takes an overview of the CKM and the performance of agricultural product innovation from contents of agricultural product innovation and customer knowledge management (CKM) ,the relation between CKM and agricultural product innovation. On the basis of the overview, it builds the theoretical framework of CKM and agricultural product innovation. It points out that enterprises can satisfy demands of customers through acquisition,share,utilization and innovation of customer knowledge,and improve performance of agricultural product innovation through speeding up agricultural product innovation.

World-Wide Semantic Web of Agriculture Knowledge

The rapid increase in the publication of knowledge bases as linked open data （LOD） warrants serious consideration from all concerned, as this phenomenon will potentially scale exponentially. This paper will briefly describe the evolution of the LOD, the emerging world-wide semantic web （WWSW）, and explore the scalability and performance features Of the service oriented architecture that forms the foundation of the semantic technology platform developed at MIMOS Bhd., for addressing the challenges posed by the intelligent future internet. This paper＂ concludes with a review of the current status of the agriculture linked open data.

Study on Management System for Agricultural Sci-tech Achievement Transformation Funding Project

Relying on the management system for agricultural sci-tech achievement transformation funding project in Zhejiang Province, on the basis of current situations and demand of agricultural sci-tech achievement transformation funding project management system, we present a B/S-structured and J2EE platform-based system which adopts MVC mode and integrates mainstream open-source frame technologies such as Spring, Struts2, ExtJs, TopLink and FreeMarker, etc. Practice has shown that this system provides an original model for management of sci-tech project application, and various projects can be expanded on this model. With the aid of this system, sci-tech project management personnel can be relieved from trivial manual works, so as to increase working efficiency and improve management level of sci-tech project management.

Several Theoretical Issues on Agricultural Sci-tech Service and Management

In view of particularity and complexity of agricultural sci-tech service and management,this paper presents definition of basic concept of agricultural sci-tech service and management,sums up its basic characteristics,and discusses and analyzes its structural elements and functions. The agricultural sci-tech service and management plays an important role in speeding up rural construction and narrowing the gap between urban and rural areas. It ensures benign cycle of scientific and technological achievements and regional environment,and promotes development of agricultural industrialization.

Current Situations of Agricultural Sci-tech Innovation and Development Path in Nantong

Nantong is a typical region of large population and little land.The conflict between resources and environment is growing.Thus,the improvement of independent innovation ability based on current situations,oriented towards the future and relying on scientific and technological force directly decides the effect of strong economic city construction.Through analysis on achievements of agricultural sci-tech innovation works,existing problems and demand for developing modern agriculture in Nantong,we present development ideas,target orientation and basic principles of agricultural sci-tech innovation works in Nantong,and put forward eight paths.

Farmers’ Knowledge on Climate Change Effects in Agriculture

The major objectives of the study were to determine farmers’ knowledge on climate change effects in agriculture and to identify the factors that influenced farmers’ knowledge on climate change effects in agriculture. The study was conducted in four villages under Kazipur upazila of Sirajgonj district. Data were collected by using interview schedule from randomly selected 113 respondents during 1st January to 30th January, 2018. The findings revealed that an overwhelming majority (78.8%) of the respondents had medium to high knowledge on climate change effects in agriculture. Among eight selected characteristics, extension media contact, training received, organizational participation, and cosmopoliteness had significant positive contribution to the farmers’ knowledge on climate change effects in agriculture. It is recommended that to increase farmers’ knowledge on climate change effects initiative should be taken to improve farmers’ knowledge through more involving with organization, extension media and program.

Intra-firm Horizontal Knowledge Transfer Management

Knowledge transfer is widely emphasized as a strategic issue for firm competition. A model for intra-firm horizontal knowledge transfer is proposed to model horizontal knowledge transfer to solve some demerits in current knowledge transfer researches. The concept model of intra-firm horizontal knowledge transfer was described and a framework was provided to define the main components of the transfer process. Horizontal knowledge transfer is that knowledge is transferred from the source to the same hierarchical level recipients as the target. Horizontal knowledge transfer constitutes a strategic area of knowledge management research. However, little is known about the circumstances under which one particular mechanism is the most appropriate. To address these issues, some significant conclusions are drawn concerning knowledge transfer mechanisms in a real-world setting.

Traditional agroecological knowledge and practices:The drivers and opportunities for adaptation actions in the northern region of Ghana

Agroecological practices are promoted as a more proactive approach than conventional agriculture to achieving a collective global response to climate change and variability while building robust and resilient agricultural systems to meet food needs and protect the integrity of ecosystems.There is relatively limited evidence on the key traditional agroecological knowledge and practices adopted by smallholder farmers,the factors that influence smallholder farmers’decision to adopt these practices,and the opportunities it presents for building resilient agricultural systems.Using a multi-scale mixed method approach,we conducted key informant interviews(n=12),focus group discussions(n=5),and questionnaire surveys(N=220)to explore the traditional agroecological knowledge and practices,the influencing factors,and the opportunities smallholder farmers presented for achieving resilient agricultural systems.Our findings suggest that smallholder farmers employ a suite of traditional agroecological knowledge and practices to enhance food security,combat climate change,and build resilient agricultural systems.The most important traditional agroecological knowledge and practices in the study area comprise cultivating leguminous crops,mixed crop-livestock systems,and crop rotation,with Relative Importance Index(RII)values of 0.710,0.708,and 0.695,respectively.It is reported that the choice of these practices by smallholder farmers is influenced by their own farming experience,access to market,access to local resources,information,and expertise,and the perceived risk of climate change.Moreover,the results further show that improving household food security and nutrition,improving soil quality,control of pest and disease infestation,and support from NonGovernmental Organizations(NGOs)and local authorities are opportunities for smallholder farmers in adopting traditional agroecological knowledge and practices for achieving resilient agricultural systems.The findings call into question the need for stakeholders and policy-makers at all levels to develop capacity and increase the awareness of traditional agroecological knowledge and practices as mechanisms to ensure resilient agricultural systems for sustainable food security.

Factors Influencing the Success of Agricultural Information System （AIS）： A Factor Analysis

This study aims at investigating the AIS （Agricultural Information System） in Hamedan province, Iran, benefiting from the list of criteria for well functioning AISs that were identified in earlier researches. For this purpose, a survey method with multi-stage stratified random sampling technique was used to select 31 agricultural researchers, and 62 extension workers in the province. The data were acquired by questionnaire and structured interviews. The instrument for data collection was subjected to pre-testing, validation and reliability tests. The results of the factor analysis revealed that the criteria could be categorized into four overarching groups based on their inter-correlation. The analysis of mentioned criteria in Hamedan province AIS showed less efficiency and effectiveness than studies conducted in other areas. But among these, two desirable criteria existed. It is recommended that the ecological knowledge system （EKS） should be integrated with AIS, and some ecological and sustainable development criteria should be added to the existing ones.

Review on the Work of Agriculture Ontology Research Group

This paper introduces efforts and achievements of Agriculture Ontology Service Research Group of Agricultural Information Institute of Chinese Academy of Agriculture Sciences in last 10 years. It summarizes the research on ontology construction methodology, ontology management system, ontology application and etc.

Legal Knowledge, Land Expropriation, and Agricultural Development in Rural China

By using household survey data, this paper examines the effect of legal knowledge, a proxy for farmers＇ ability to protect their land, on agricultural development in rural China. The Ordinary Least Square （OLS） estimation results indicate that legal knowledge in a household raises agricultural production. Further, once the production effect of legal knowledge is controlled for, the objective measure of land expropriation has no production effect. These results survive for alternative measures of legal knowledge and subsample analysis. A two-stage least squares strategy further confirms that the effect of legal knowledge on farm production is causal. A preliminary channel analysis suggests that the impact of legal knowledge on farm production works mainly through farmyard manure investments and labor incentives.

Trends and patterns in agriculture tourism research:A 30-year bibliometric analysis based on Web of Science

The article uses the information visualization software Citespace5.5 to study the data related to agriculture tourism in the Web of Science database,from macro to micro to the representative countries of the literature,keywords and co-cited literatures.Through visualization analysis,the article clarifies the key research directions,key literatures and hot spot frontiers in the field of agriculture tourism research,forecasts the future development trends in this field.The results show that the study of agriculture tourism research has become one of the hot topics in academia.The research results of international agriculture tourism are rich.Scholars have many research perspectives.International agriculture tourism research has formed a mature and stable academic community.Mainstream journals in related international fields play an important role in disseminating agriculture tourism research content,methods,and results.Research stage is progressive.In the future,we can focus on the basic theoretical construction of agriculture tourism research,the deep integration of agriculture and tourism,the regional effects of agriculture tourism,agriculture tourism research methods,and multidisciplinary and multi-regional comparative research,etc.This paper can help readers to better understand the status quo and development trend of agriculture tourism and to easier recognize the shortcomings in the development of agriculture tourism,so as to provide a promising direction for future research.