Knowledge modelling for integrating semantic web services in e-government applications

Service integration and domain interoperability are the basic requirements in the development of current service-oriented e-Government applications. Semantic Web and, in particular, Semantic Web Service (SWS) technology aim to address these issues. However, the integration between e-Government applications and SWS is not an easy task. We argue that a more complex semantic layer needs to be modeled. The aim of our work is to provide an ontological framework that maps such a semantic layer. In this paper, we describe our approach for creating a project-independent and reusable model, and provide a case study that demonstrates its applicability

Towards Customer Knowledge Management: Integrating Customer Relationship Management and Knowledge Management Concepts

The concepts of customer relationship management (CRM) and knowledge management (KM) have been recently gaining wide attention in business and academia. Both approaches focus on allocating resources to supportive business activities in order to gain competitive advantages. CRM focus on managing the relationship between a company an its current and prospective customer base as a key to success. A good relationship with the customer leads to higher customer satisfaction. Content customers are loyal and therefore more valuable customers. This directly affects the revenue stream. KM sees the knowledge available to a company as a major success factor. Through superior knowledge companies can accomplish their results faster, cheaper and with higher quality than their competition. Knowledge about customers, markets and other relevant factors of influence allows faster utilization of opportunities and more flexible reaction to threats. From the perspective of a process owner both CRM and KM approaches promise positive impact on the cost structure and revenue streams for a company in return for allocating resources from the core business into supportive functions. This investment is not without risk as many failed projects in the areas of CRM and KM demonstrate. In this paper we show that the benefit of using CRM and KM can be enhanced and the risk of failure reduced by integrating both approaches into a customer knowledge management (CKM) model. Managing relationships requires managing knowledge for the customer, knowledge about the customer and knowledge from the customer. KM takes the role of a service provider for CRM, managing the four knowledge aspects content, competence, collaboration and composition to satisfy customer requests within stated budget restrictions. The findings are based on literature analysis and six years of action research, supplemented by case studies and surveys

State-of-the-art on evolution and reactivity

This report starts by, in Chapter 1, outlining aspects of querying and updating resources on the Web and on the Semantic Web, including the development of query and update languages to be carried out within the Rewerse project. From this outline, it becomes clear that several existing research areas and topics are of interest for this work in Rewerse. In the remainder of this report we further present state of the art surveys in a selection of such areas and topics. More precisely: in Chapter 2 we give an overview of logics for reasoning about state change and updates; Chapter 3 is devoted to briefly describing existing update languages for the Web, and also for updating logic programs; in Chapter 4 event-condition-action rules, both in the context of active database systems and in the context of semistructured data, are surveyed; in Chapter 5 we give an overview of some relevant rule-based agents frameworks

Improving perceptual multimedia quality with an adaptable communication protocol

Copyrights @ 2005 University Computing Centre ZagrebInnovations and developments in networking technology have been driven by technical considerations with little analysis of the benefit to the user. In this paper we argue that network parameters that define the network Quality of Service (QoS) must be driven by user-centric parameters such as user expectations and requirements for multimedia transmitted over a network. To this end a mechanism for mapping user-oriented parameters to network QoS parameters is outlined. The paper surveys existing methods for mapping user requirements to the network. An adaptable communication system is implemented to validate the mapping. The architecture adapts to varying network conditions caused by congestion so as to maintain user expectations and requirements. The paper also surveys research in the area of adaptable communications architectures and protocols. Our results show that such a user-biased approach to networking does bring tangible benefits to the user

Use-cases on evolution

This report presents a set of use cases for evolution and reactivity for data in the Web and Semantic Web. This set is organized around three different case study scenarios, each of them is related to one of the three different areas of application within Rewerse. Namely, the scenarios are: “The Rewerse Information System and Portal”, closely related to the work of A3 – Personalised Information Systems; “Organizing Travels”, that may be related to the work of A1 – Events, Time, and Locations; “Updates and evolution in bioinformatics data sources” related to the work of A2 – Towards a Bioinformatics Web