E-government Information Resources Research Articles

A Semantic Matching Method of E-Government Information Resources Knowledge Fusion Service Driven by User Decisions

This study focuses on the knowledge fusion model of e-government information resources that supports user decision-making information needs, it discusses the user decision-making information needs model, the knowledge fusion service model, and the relationship between them. The inter-layer mapping matching mechanism realizes the ultimate value of knowledge fusion. Therefore, this paper analyses and studies the mapping mechanism between the user information demand model and the knowledge fusion service model. A semantic, similarity-based knowledge fusion service matching method for e-government information resources is proposed to address the problem of lack of semantics in traditional web service matching methods. This method uses the ontology description language OWL-S to map information requirement documents of user decisions and knowledge fusion service function documents into an ontology tree structure. The authors then use this as the basis to calculate the concept similarity and relationship similarity measures, and the service matching based on semantic similarity can be realized.

Computer Network Information System Security Prevention Methods under the Background of Big Data

With the rapid development of modern society, the administrative information content rapid growth of e-government information resource sharing becomes the key of the government departments for effective social management. The cloud technology Internet big data are widely used and popular, which enable information resources to be shared among government data and are both an opportunity and challenge for effective e-government information resource sharing. It is of great significance to enhance government credibility. Information security risk assessment is a comprehensive evaluation of the potential risk of an uncertain stochastic process, traditional evaluation methods are deterministic models, and it is difficult to measure the security risk of uncertainty. On the other hand, with the opening and complexity of information system business functions, the nonlinearity and complexity of evaluation calculation also increase. By studying the relatively mature assessment criteria and methods in the field of information security, this study analyzes the information security status of small Internet of Things system based on the characteristics of Internet of Things information security. Combining the latest research results of information entropy neural network and other fields with the original risk assessment methods, the improved AHP information security risk assessment model is verified by simulation examples.

“Problems Of E-Governance İn Government Agencies And Their Solutions”

The study summarizes a number of scientific discussions and arguments. The main purpose of the study is to improve the quality of e-services in government agencies, to study the current situation and issues related to the general situation in Azerbaijan in this area. Research and systematization of scientific sources show that there are problems with e-governance in government agencies and a number of improvements are needed. Transparent governance and the creation of citizen satisfaction in Azerbaijan is one of the priorities of the state. In this sense, the relevance of the study includes the analysis of e-governance problems in government agencies in Azerbaijan and ways to solve them. The study was conducted in the following sequence: – General information on e-government is provided; – In the world practice, there are a number of obstacles to the implementation of e-government in any country; – Information was provided on what factors are important for the development of e-government information resources in e-governance; -The current state of e-governance in government agencies in Azerbaijan has been analyzed. The theoretical and methodological basis of the research is the perspectives of researchers, theories, scientific articles, scientific research on e-governance and its improvement. Research objects include e-government, analysis of e-government problems in government agencies and finding solutions. The research is based on scientific-theoretical approaches and empirical analysis. Research has shown experimentally and theoretically that development is impossible without e-government, and the application of e-government has become a necessity. At the end of the study, the results and recommendations of the study were given. The results of the research are useful in the development of programs, projects and proposals related to e-governance, as well as in solving research problems and overcoming existing problems in e-government. E-government plays an important role in the successful development of public administration, increasing the flexibility, efficiency and citizen satisfaction of public administration. The main purpose of e-government is to improve the quality of work and management of government agencies, to protect the rights and freedoms and interests of citizens, to ensure transparent governance.

Research on Computer Intelligent Electronic Information Sharing Platform System

With the rapid development of e-government construction, the total amount of government information resources has increased rapidly, and the quality requirements have been continuously improved, initially forming an open and shared environment for information resources. The information sharing and exchange platform is designed to solve the above problems. It aims to build a flexible, safe and reliable transmission system and provide a unified technical support environment for various applications. The information exchange and sharing platform is a basic platform facility for each application system, and the application system can exchange and share data with other application systems through the information exchange and sharing platform. Due to the lack of uniform data standards, specifications and formats, the comprehensive utilization level of information resources is limited. In order to build a computer intelligent e-government information resource sharing platform, this paper explores the establishment of an architecture for the organization, exchange and utilization of e-government information resources from a technical point of view, based on the existing research on the sharing methods and modes of government information resources sharing.

Automating E-Government Services With Artificial Intelligence

Artificial Intelligence (AI) has recently advanced the state-of-art results in an ever-growing number of domains. However, it still faces several challenges that hinder its deployment in the e-government applications–both for improving the e-government systems and the e-government-citizens interactions. In this paper, we address the challenges of e-government systems and propose a framework that utilizes AI technologies to automate and facilitate e-government services. Specifically, we first outline a framework for the management of e-government information resources. Second, we develop a set of deep learning models that aim to automate several e-government services. Third, we propose a smart e-government platform architecture that supports the development and implementation of AI applications of e-government. Our overarching goal is to utilize trustworthy AI techniques in advancing the current state of e-government services in order to minimize processing times, reduce costs, and improve citizens’ satisfaction.

Research on E-Government Information Resources Sharing System Based on Cloud Computing

With the rapid development of network technology, information technology has become a trend. However, our country’s government information technology still needs to improve as quickly as possible. The key to promote the construction of government information is to establish e-government information resource sharing system. Therefore, how to achieve e-government information resources sharing becomes a research focus. In the construction of e-government information resources sharing system, cloud computing playing a role cannot be ignored. In the paper, it will research and analysis how to construct e-government information resources sharing system.

How to Design E-Government Information Resources Sharing Cloud Service Centers in China

Cloud computing appears for the development of e-government to provide new ideas and direction. By the basic of cloud computing to build e-government information resources sharing cloud service centers, it is benefit for integration and sharing of information resources, at the same time, information security has also been effectively guaranteed; of course, it is not only Conducive to the establishment of efficient and transparent service-oriented, conservation-oriented, dynamic government; and facilitate to public oversight and political participation, but also conducive to improve the government's own work. Construction of e-government information resources sharing cloud service centers, technology is support system is to protect, to change the concept of interaction and look at the effectiveness.

Research on E-Government System Based on Multi-Source Information Fusion

E-Government system based on Multi Source Information Fusion has become a focus of attention. This paper studies the construction method and relevant technology of E-Government system based on Multi Source Information Fusion. A more effective E-government system based on Multi Source Information Fusion can achieve the E-government information resource sharing, and promote intelligent, individualized, one-stop E-Government information service.

A Model for E-Government Information Resource Integration Based on Ontology

Ontologies have attracted increasing attention in IT community and their benefits are now recognized for E-government applications. As one of the typical semantic representation methods, ontology-based integration approaches have been the focus in the past few decades. The definition of the ontology was reviewed firstly. Then methodological aspects related to ontological engineering were introduced. Importantly, a model of E-government information resource integration was presented. Finally, an E-government database ontology was developed for sharing and reuse of E-government information resource.

A MODEL FOR STRUCTURING INFORMATION RESOURCES IN E-GOVERNMENT

In the past years, the interaction level between citizens and government has significantly risen. Due to the growing number of services provided by e-governments, the information resources in e-government systems are becoming increasingly complex and vast.As a result, structuring information, so it can easily be understood and further used, has become a vital topic. This paper gives an overview of the situation of e-government in Serbia, with a special emphasis ontwo main aspects of using the information resources:analyzing current situation and decision-making. This paper deliberates the application of a model for structuring e-government information resources using faceted taxonomy.Faceted taxonomy represents a set of taxonomies, each one describing the domain of interest from a different, preferably orthogonal, point of view. This model would facilitate the understanding of relationships between different pieces of information in the system and therefore, improve the efficiency of use of the information resources in the system. The paper clarifies the guidelines for practical implementation of the model and deals with the transition process. The work also depicts the possible benefits of applying the faceted taxonomy model to the e-government system. Keywords/Key phrases: faceted taxonomy, faceted navigation, e-government, information modeling

Research and Design on E-government Information Retrieval Model

At present, most government websites have not given full play to the internet's characteristic such as share, interaction. The public satisfaction is poor. Therefore, this article puts forward an e-government information retrieval model based on the metadata. Firstly it builds an e-government information resource database, and all kinds of different types of resources are uniformly stored in the resource database; Secondly, the resources are described by metadata, and e-government information resources metadata scheme is designed; Thirdly, the metadata extraction algorithm is designed to extract the metadata elements of e-government information resources; Finally, e-government information resources storage and retrieval schemes are designed. The experiment result shows that the information retrieval method based on metadata can improve the e-government information retrieval efficiency and precision, and realizes the share of e-government resources. Thus it is a practical approach for the task of e-government information retrieval.