694781
A Decentralized Resource Discovery Based on Keywords Combinations and Node Clusters in Knowledge Grid
The organization and discovery of grid resources are foundational and key subjects in grid research. Many research works in this field have presented the solutions to the problem, but few of them are focused on knowledge resources. This paper aims to explore how to support user's knowledge requests submitted in form of multi-keywords. We present a decentralized resource discovery method based on keyword combinations and node clusters. In the method, hot keyword combinations are formed based on user's knowledge requests. Then, grid nodes can be clustered according to these keyword combinations and user's knowledge requests will be transmitted to those clusters that have high correlations with the requests.
3041039
The Impacts of Enterprise Resource Planning Systems on Firm Performance: An Empirical Analysis of Chinese Chemical Firms
Chinese firms heavily invest in enterprise resource planning systems (ERP) in recent years and expect that ERP can help them gain superior financial performance. Given the high costs and high risk of ERP investments, to quantify the financial benefits of ERP implementation is an important research issue. This paper empirically examines the impacts of ERP implementation on firm performance using the financial data from 50 Chinese chemical firms that implemented ERP. The firms’ abnormal performance during the two-year implementation period and three-year post-implementation period was analyzed based on the guideline of Barber et al. on event studies. The results find no significant performance improvement during the implementation period and the three-year post-implementation period and a decline in performance in the first two years after implementation. However, a slight performance improvement in the third year after implementation may indicate that the financial benefits of ERP may show after a long-term ERP use. These results provide insight for Chinese firms that want to invest in ERP.
14505582
An Object-Dependent and Context Constraints-Aware Access Control Approach Based on RBAC
The universal adoption of the Internet requires a fine grained access control in the sharing of sensitive resources. However, existing access control mechanisms are inflexible and do not help in alleviating the management task of administrating users’ access to resources based on security policies. In this paper, we propose an approach to implement fine-grained access control based on RBAC while considering specific context constraints. The approach is object-dependent and policy-enforced through binding policies to particular object. In the policies, context constraints are incorporated to support separation of duties (SoD). Furthermore, the implement of the approach is described in detail and an application to meet specific access control requirements of comprehensive knowledge management system in an aviation enterprise is presented.
6386219
The Separation of Duty with Privilege Calculus
This paper presents Privilege Calculus (PC) as a new approach of knowledge representation for Separation of Duty (SD) in the view of process and intents to improve the reconfigurability and traceability of SD. PC presumes that the structure of SD should be reduced to the structure of privilege and then the regulation of system should be analyzed with the help of forms of privilege.
35490802
Mining Condensed and Lossless Association Rules by Pruning Redundancy
There are excessive and disordered rules generated by traditional approaches of association rule mining, many of which are redundant, so that they are difficult for users to understand and make use of. Han et al pointed out the bottleneck of association rules mining is not on whether we can derive the complete set of rules under certain constraints efficiently but on whether we can derive a compact but high quality set of rules. To solve this problem, a new method was represented, which is based on statistics and probability to get a condensed rules set by removing redundant rules. Our set of rules is more concise, more intelligible and easier to manage and use than others. Especially, the condensed set is lossless so that its switch to original rules-set can be realized. Itpsilas important because the switch keeps the information complete. Experiments on some datasets show that the number of rules in rules-set has been reduced greatly.
42073338
An Approach to Enterprise Application Integration Based on Ontology Semantic Description
This paper systematically provides an enterprise application integration (EAI) approach for the complex product design industry in which the application integration has long been difficult. In addition, the complex product’s data sources are distributed in different enterprise application systems which resulted in the design ontology’s heterogeneousness. Similarly, the differences in enterprise application systems bring about the heterogeneousness of the application ontology. Based on an actual project, this paper studies the nonobjective characteristic of the heterogeneous design ontology and heterogeneous application ontology in the complex product design industry, and establishes the common semantic description models for the two types of ontology respectively. In the actual project, an information system is developed and has been successfully applied to an enterprise.
15021541
A Scenario-Based Architecture Evaluation Framework for Network Enabled Capability
The vision of service-oriented computing is one of loosely coupled services that create agile applications to encapsulate business objectives and processes. The potential of services to form complex systems of systems, with emergent behaviour, necessitates the need to understand how we can we develop sufficient confidence in their qualities. In this paper we argue that successful development and evolution of service oriented computing is dependent on making informed decisions at the architectural level. This poses a number of challenges concerning how to evaluate such system architectures and the measurements and metrics that are important in their assessment. This paper describes research-in-progress into the development of a scenario-based architectural evaluation framework that allows architectural-level reasoning across systems of systems in the context of Network Enabled Capability: a UK Ministry endeavour designed to achieve enhanced[military] effect through the physical networking and coherent integration of existing and future resources.
16432148
Delivering Sustainable Capability on Evolutionary Service-oriented Architecture
Network Enabled Capability (NEC) is the U.K. Ministry of Defence’s response to the quickly changing conflict environment in which its forces must operate. In NEC, systems need to be integrated in context, to assist in human activity and provide dependable inter-operation. In order to provide reliable and sustainable military capability, fast paced changes must be conducted without halting the operation of a capability. In this paper we present the concept of evolutionary service-oriented architecture for delivering sustainable capability. The reliability of the architecture is evaluated by simulations using a computer-based model. The simulation results indicate that the evolutionary service-oriented architecture can provide higher reliability and sustainability in the provision of capability in a dynamic environment.
62553301
Efficient resource discovery in self-organized unstructured peer-to-peer networks
In unstructured peer-to-peer (P2P) networks, two autonomous peer nodes can be connected if users in those nodes are interested in each other's data. Owing to the similarity between P2P networks and social networks, where peer nodes can be regarded as people and connections can be regarded as relationships, social strategies are useful for improving the performance of resource discovery by self-organizing autonomous peers on unstructured P2P networks. In this paper, we present an efficient social-like peer-to-peer (ESLP) method for resource discovery by mimicking different human behaviours in social networks. ESLP has been simulated in a dynamic environment with a growing number of peer nodes. From the simulation results and analysis, ESLP achieved better performance than current methods. Copyright © 2008 John Wiley & Sons, Ltd.
14342172
User studies on the feasibility of oblique contouring
MRI and CT scanners have long been used to produce three-dimensional samplings of anatomy elements for use in medical visualization and analysis. Physicians often need to construct surfaces representing the anatomical shape in order to conduct treatment, such as radiating a tumor. Traditionally, this is done by a time-consuming process in which an experienced physician marks a series of parallel contours that outline the object of interest.
8904843
Social Peer-to-Peer for Resource Discovery
For resource discovery in social networks, people can directly contact some acquaintances that have knowledge about the resources they are looking for. However, in current peer-to-peer networks, peer nodes lack capabilities similar to social networks, making it difficult to route queries efficiently. In this paper, we present a social-like system (Social-P2P) for resource discovery by mimicking human behaviours in social networks. Different from most informed search algorithms, peer nodes learn knowledge from the results of previous searches and no additional overhead is required to obtain extra information from neighbouring nodes. Unlike community-based P2P information sharing systems, we do not intend to create and maintain peer groups or communities consciously. Peer nodes with the same interests will be highly connected to each other spontaneously. Social-P2P has been simulated in a dynamic environment. From the simulation results and analysis, Social-P2P achieved better performance than current methods