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This paper presents a modular framework for traffic regulations based decision-making of automated vehicles. It builds on a semantic traffic scene representation formulated as ontology and includes knowledge about traffic regulations. The semantic representation supports traffic situation classification by reasoning, providing improved situational awareness for the automated vehicle. Decision-making...
Decision making is important for many systems and is fundamental for situation awareness and information fusion. When a decision making process is confronted with new situations, goals and kinds of data, it must evolve and adapt. Highly optimized processes and efficient data structures generally have the disadvantage of having little flexibility or adaptability when confronted with new forms of data...
In the field of software development outsourcing and software project management, researchers use concepts from economic theory to describe organizations, groups, teams, and involved people as rational actors. However, they fail to justify these approaches based on an appropriate understanding of the involved social actors' status. The question, who really can be described as a rational actor, the...
Software architecture is no more a mere system specification as resulting from the design phase, but it includes the process by which its specification was carried out. In this respect, design decisions in component-based software engineering play an important role: they are used to enhance the quality of the system, keep the current market level, keep partnership relationships, reduce costs, and...
Humanitarian reporting is the backbone of responses to humanitarian crises, which is based on various types of decision making, mostly taken at the highest level by those who fund the humanitarian response. The lack of accurate information is a well-known problem, which increases the risk of failure and may affect humanitarian response. In this paper we illustrate how each situation in crises can...
Design decisions are often tacit knowledge of an architecture and consequently they are easily lost during software evolution, a phenomenon known as knowledge vaporization. As a countermeasure design decisions can be documented explicitly. However, documenting design decision is expensive because they need to be captured in addition to the changes in the architecture. We propose an executable representation...
The development of accurate models for cyber-physical systems (CPSs) is hampered by the complexity of these systems, fundamental differences in the operation of cyber and physical components, and significant interdependencies among these components. Agent-based modeling shows promise in overcoming these challenges, due to the flexibility of software agents as autonomous and intelligent decision-making...
With the development of Internet, more and more public users prefer to present their viewpoints of government policies. They often comment on some emergencies through news, blogs and so on. Their opinions influence decision makers of government to make right decisions. However, large numbers of news and related comments are produced when an emergency occurs and officers are very difficult to read...
Description logic reasoners can detect logical contradictions in the ontologies specified in a certain web ontology language, such as OWL. This paper discusses some reasoning problems involved in the process of ontology design and describes them in description logic. Due to the close relationship between the expressive ontology languages and description logic, description logic reasoners can find...
Most software engineering methods presume that requirements are explicitly and completely stated; however, experience shows that requirements are rarely complete and usually contain implicit requirements. The failure or success of a software system depends on the quality of the requirements. The quality of the requirements is influenced by the techniques employed during requirements elicitation. Requirements...
Information security is such a complex topic that the sheer scope and volume of available security data overwhelms security professionals and managers alike. This paper discusses the rationale of applying semantic technology to information security with a focus on software vulnerability management. With semantic technologies, we can describe the pattern of external threats and internal vulnerabilities...
To resolve inefficiencies in traditional decision support system (DSS) as the lack of semantic representation and imperfections of software computing environments, we proposed a semantic decision support system (SDSS). Based on traditional DSS, SDSS expands the existing decision-making methodologies to realize semantics formalization of decision problem, decision model and other data related to decision-making...
As e-Business and e-Commerce applications are increasingly exposed to a variety of information security threats, corporate decision makers are increasingly forced to pay attention to security issues. Risk management provides an effective approach for measuring the security but existing risk management approaches come with major shortcomings such as the demand for very detailed knowledge about the...
The Advises (Adaptive Visualization of E-science) project is developing tools to support geographic visualization in epidemiology and public-health decision making. In this project, a user-centered requirements process focuses on the research questions epidemiologists ask, the language they use, and the tacit knowledge employed in reasoning about epidemiological data. Combining a range of requirements-gathering...
In this paper, we present the use of UML 2.1 to model multi-agent systems based on a goal-driven software engineering ontology. The lack of an efficient standardized modeling language is evident. The uses of UML and stereotypes UML to model multi-agent systems have been proposed. However, there are still a number of issues with the existing approaches due to inconsistent semantics of the existing...
A new semantics driven decision making pattern is proposed because of the lack of semantic comprehension and sharing in traditional decision support system. The structure of decision support system is a three layer architecture and composed by interaction level, ontology level and decision level. In this semantics based decision support system, the decision domain problem description ontology and...
In this paper we present a framework for automation of distributed market place that is based on intelligent software agents and semantic Web services. A multi-agent environment designed for automation of e-commerce activities such as negotiation between buyer and seller, recommendation, and customer decision making. Furthermore we use a semantic Web service middleware called StraBM , advising managers...
The networks of the future are touted as being highly dynamic, allowing users a huge degree of mobility and flexibility. Seamless Mobility demonstrates networks where users move seamlessly between providers obtaining the best possible service experience. While a large focus in this area is on enabling handover, what is ultimately important is the impact of this on the user. In this paper we discuss...
A completed software product is the end result of many decisions that must be made throughout the development lifecycle. Unfortunately, the rationale for these decisions is usually not captured and is therefore lost. The Software Using RATionale (SEURAT) system integrates with the Eclipse Interactive Development Environment to support rationale capture and use. In addition to presenting the rationale...
Current fashion systems to interconnect large software architectures are moving toward SOA based solutions. This new paradigm for designing system can be improved, in our opinion, by using semantics. Semantics can a play a main role in boosting interoperability thanks to current technologies to express knowledge and to describe semantic Web services (SWS). This paper tackles the provision of a Software...
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