Digital ecosystem ontology

Digital ecosystems is a neoteric terminology and there are two major definitions about it respectively from Soluta.Net and from Digital Ecosystem and Business Intelligence Institute. In this paper, to solve the ambiguous problem in digital ecosystem's definitions and to help researchers better understand what it is, by means of ontology, we propose a conceptual model to completely illustrate the concepts in digital ecosystem. By introducing a new ontology notation system, we deliver the digital ecosystem ontology, to well define the components and explain the relationships between these components. Finally we realize the ontology in Protege-OWL and conclude our future works in the field

State of the art review of the existing soft computing based approaches to trust and reputation computation

In this paper we present a state of the art review of PageRanktrade based approaches for trust and reputation computation. We divide the approaches that make use of PageRanktrade method for trust and reputation computation, into six different classes. Each of the six classes is discussed in this paper

Towards multi-criteria cloud service selection

Cloud computing despite being in an early stage of adoption is becoming a popular choice for businesses to replace in-house IT infrastructure due to its technological advantages such as elastic computing and cost benefits resulting from pay-as-you-go pricing and economy of scale. These factors have led to a rapid increase in both the number of cloud vendors and services on offer. Given that cloud services could be characterized using multiple criteria (cost, pricing policy, performance etc.) it is important to have a methodology for selecting cloud services based on multiple criteria. Additionally, the end user requirements might map to different criteria of the cloud services. This diversity in services and the number of available options have complicated the process of service and vendor selection for prospective cloud users and there is a need for a comprehensive methodology for cloud service selection. The existing research literature in cloud service selection is mostly concerned with comparison between similar services based on cost or performance benchmarks. In this paper we discuss and formalize the issue of cloud service selection in general and propose a multi-criteria cloud service selection methodology

Application of protege and SPARQL in the field of project knowledge management

Protg is a set of open-source ontology design software developed in Stanford Medical Informatics. SPARQL (Protocol and RDF Query Language) is recommended by W3C, to represent the RDF (Resource Description Framework) graph a set of triples that consist of a subject, a predicate and an object as the basic expression of data stored in OWLbased knowledge base.In this paper, we propose an ontology-based project knowledge management methodology, by means of Protg and SPARQL, to solve the issues in project management activities. By introducing a set of new ontology notations, we present the conceptual model of our ontology to realize the function of knowledge management in project organizations. Following that, we realize the prototype in Protg and validate it by means of SPARQL. Finally we make comments on our project and plan our future work

Digital signature-based secure communication in cognitive radio networks

Due to the rapid growth of wireless applications, Cognitive Radio (CR) has been considered as a demanding concept for improving the utilization of limited radio spectrum resources for future wireless communications and mobile computing. The unique characteristics of Cognitive Radio Networks (CRNs) make security more challenging. Since a member of Cognitive Radio Networks may join or leave the network at any time, the issue of supporting secure communication in CRNs becomes more critical than for other conventional wireless networks. This work thus proposes digital signature-based secure communication for identifying efficient primary users in CRNs. The security analysis is analyzed to guarantee that the proposed approach achieves security proof

A robust methodology for prediction of trust and reputation values

In this paper, we present the FC direct trust value-based decision making methodology, for making direct trust value based decisions regarding interactions in (a) a given context and during the current time slot, and (b) a given context and at a future time slot. The direct trust value-based decision making methodology models the context specific nature of trust and the dynamic nature of trust to make direct trust value-based decisions regarding interactions. Additionally in this paper, we present the FC reputation-based trust decision making methodology, for making reputation-based trust decisions regard ing interactions, if direct trust value-based decisions cannot be made. The FC reputationbased trust decision making methodology can make reputationbased trust decisions regarding interactions in (a) a given context and during the current time slot, and (b) a given context and at a future time slot

A methodology for determining the creditability of recommending agents

The trusting agent in order to analyze the Risk that could be present in its future interaction with a trusted agent might solicit for its recommendations from other agents. Based on the recommendations achieved the trusting agent can decide whether to interact or not with the trusted agent. If the trusting agent decides to proceed, then after its interaction it should adjust the creditability of the recommending agents, whose recommendation it considered. Doing this would help the future trusting agents to classify the recommending agents according to their trustworthiness and ignore those which are un-trustworthy. In this paper we propose such an approach by which the trusting agent adjusts the credibility of the recommending agent after its interaction depending on the recommendation that it gave

Development of a Logic Layer in the Semantic Web: Research Issues

The ontology layer of the semantic web is now mature enough (i.e. standards like RDF, RDFs, OWL, OWL 2) and the next step is to work on a logic layer for the development of advanced reasoning capabilities for knowledge extraction and efficient decision making. Adding logic to the web means using rules to make inferences. Rules are a means of expressing business processes, policies, contracts etc but most of the studies have focused on the use of monotonic logics in layered development of the semantic web which provides no mechanism for representing or handling incomplete or contradictory information respectively. This paper discusses argumentation, semantic web and defeasible logic programming with their distinct features and identifies the different research issues that need to be addressed in order to realize defeasible argumentative reasoning in the semantic web applications

Trust-based Throughput in Cognitive Radio Networks

Cognitive Radio Networks (CRNs) deal with opportunistic spectrum access in order to fully utilize the scarce of spectrum resources, with the development of cognitive radio technologies to greater utilization of the spectrum. Nowa- days Cognitive Radio (CR) is a promising concept for improving the utilization of limited radio spectrum resources for future wireless communications and mobile computing. In this paper, we propose two approaches. At first we propose a trust aware model to authenticate the secondary users (SUs) in CRNs which provides a reliable technique to establish trust for CRNs. Secondly, we propose trust throughput mechanism to measure throughput in CRNs

Project track and trace ontology

It is well-known that ontology is utilized as an effective methodology to share domain-specific knowledge in multidisciplinary fields. In the field of project management, due to the characteristic of project organizations in which project members are geographically dispersed and from different cultural background, senior management would feel difficulty when they attempt to know about the detailed project completion status from dispersed project groups. Thus, the objective of this paper is to propose an automated project track and trace methodology through the use of ontology technology, to challenge the knowledge sharing issues in project organizations. By means of extending CCCI Metrics into the field of project management and introducing a new ontological notation system, we deliver the project track and trace ontology