349 research outputs found

    A framework for delivering personalized e-government services from a citizen-centric approach

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    E-government is becoming more attentive towards providing intelligent personalized online services to citizens so that citizens can receive better services with less time and effort. This paper proposes a new conceptual framework for delivering personalized e-government services to citizens from a citizen-centric approach, called Pe-Gov service framework. This framework outlines the main components and their interconnections. Detailed explanations about these components are given and the special features of this framework are highlighted. The Pe-Gov framework has the potential to outperform the existing e-Gov service systems as illustrated by two real life examples. © 2010 ACM

    Advanced eGovernment Information Service Bus (eGov-Bus)

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    The eGov-Bus project provides citizens and businesses with improved access to virtual public services, which are based on existing national eGovernment Web services and which support cross-border life events. Requirements and specific rules of these life events are considered, and personalization of user preferences is supported. eGov-Bus is based on adaptable process management technologies, allowing for virtual services which are dynamically combined from existing national eGovernment services. In this way, a comprehensive workflow process is set up, allowing for service-level agreements, an audit trail and explanation of the process to the end user. The eGov-Bus process engine operates on top of a virtual repository, providing a high-level semantic view of information retrieved from heterogeneous information sources, such as eGovernment Web services. Further, eGov-Bus relies on a security framework to ensure all high-level security requirements are met. The eGov-Bus architecture is business oriented, it focuses on Service Oriented Architecture (SOA) concepts, asynchronously combining Web services and providing a Service Bus.Frameworks and Guidelines, eGovernment Ontologies, Admininistrative Process Design, Life Events, Web Services, Service Bus Integration

    A semantic web service-based architecture for the interoperability of e-government services

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    We propose a semantically-enhanced architecture to address the issues of interoperability and service integration in e-government web information systems. An architecture for a life event portal based on Semantic Web Services (SWS) is described. The architecture includes loosely-coupled modules organized in three distinct layers: User Interaction, Middleware and Web Services. The Middleware provides the semantic infrastructure for ontologies and SWS. In particular a conceptual model for integrating domain knowledge (Life Event Ontology), application knowledge (E-government Ontology) and service description (Service Ontology) is defined. The model has been applied to a use case scenario in e-government and the results of a system prototype have been reported to demonstrate some relevant features of the proposed approach

    A framework for delivering personalized e-Government tourism services

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    E-government (e-Gov) has become one of the most important parts of government strategies. Significant efforts have been devoted to e-Gov tourism services in many countries because tourism is one of the major profitable industries. However, the current e-Gov tourism services are limited to simple online presentation of tourism information. Intelligent e-Gov tourism services, such as the personalized e-Gov (Pe-Gov) tourism services, are highly desirable for helping users decide "where to go, and what to do/see" amongst massive number of destinations and enormous attractiveness and activities. This paper proposes a framework of Pe-Gov tourism services using recommender system techniques and semantic ontology. This framework has the potential to enable tourism information seekers to locate the most interesting destinations with the most suitable activities with the least search efforts. Its workflow and some outstanding features are depicted with an example

    Recommendation technique-based government-to-business personalized e-services

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    One of the new directions in current e-government development is to provide personalized online services to citizens and businesses. Recommendation techniques can bring a possible solution for this issue. This study proposes a hybrid recommendation approach to provide personalized government to business (G2B) e-services. The approach integrates fuzzy sets-based semantic similarity and traditional item-based collaborative filtering methods to improve recommendation accuracy. A recommender system named Intelligent Business Partner Locator (IBPL) is designed to apply the proposed recommendation approach for supporting government agencies to recommend business partners. ©2009 IEEE

    SABUMO: towards a collaborative and semantic framework for knowledge sharing

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    Knowledge is one the most valuable assets in todays companies. Artificial Intelligence (AI) techniques aim to represent the knowledge in a way that can be applied to solving complex problems or supporting decision making processes. During the last years the semantic web techniques have supported the share of knowledge by means of ontologies. Ontologies have been used for both annotating resources and rea soning. Business Process Management is one of the specific fields in which the use of ontologies has been widely applied. This paper presents SABUMO, a framework based on ontologies that allows experts to represent and share their knowledge with other experts by means of shared and controlled vocabularies. The framework also allows the execution of business processes represented by experts. The execution of this knowledge does not require the installation of complex AI programs. Initial results of the evaluation setup show promising results both in usability and recommendation.Publicad

    Product Line-based customization of e-Government documents

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    International audienceContent personalization has been one of the major trends in recent Document Engineering Research. The "one docum ent for n users" paradigm is being replaced by the "one user, one document" model, where the content to be delivered to a particular user is generated by some means. This is a very promising approach for e-Government, where personalized government services, including document generation, are more and more required by users. In this paper, we introduce a method to the generation of personalized documents called Document Product Lines (DPL). DPL allows generating content in domains with high variability and with high levels of reuse. We describe the basic principles underlying DPL and show its application to the e-Government field using the personalized tax statement as case study
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