ENHANCED BI SYSTEMS WITH ON-DEMAND DATA BASED ON SEMANTIC-ENABLED ENTERPRISE SOA

Since the 1990s, companies have been investing into IT infrastructure initiatives such as Enterprise Resource Planning (ERP) systems, Supply Chain Management (SCM) systems, and Customer Relationship Management (CRM) systems in order to increase efficiency, effectiveness, and internal process integration, among other goals. The current value of Business Intelligence (BI) for companies could be summarized by two main achievements: improvement of management of processes and improvement of operational processes. This paper will identify current requirements of BI and present a linkage to service-oriented architectures including added-values. Semantic-enabled Enterprise Service-Oriented Architecture (SESOA) is an enterprise solution that links businesses to external systems based on Web Services and SOA concept. It represents a lightweight web application that annotates Web Services that are coming from different service providers with semantics so that the indexing and discovery of these services can be more comprehensive. BI applications can be considered as service consumers in SESOA and can discover, select and invoke the services supplied by the external systems (service providers). In this way, SESOA forms the bridge between SOA and BI concepts to deliver in real time the ?on-demand? data as services and this opens the BI market to include SMEs as main resources of these services

A Model for Managing Information Flow on the World Wide Web

Metadata merged with duplicate record (http://hdl.handle.net/10026.1/330) on 20.12.2016 by CS (TIS).This is a digitised version of a thesis that was deposited in the University Library. If you are the author please contact PEARL Admin ([email protected]) to discuss options.This thesis considers the nature of information management on the World Wide Web. The web has evolved into a global information system that is completely unregulated, permitting anyone to publish whatever information they wish. However, this information is almost entirely unmanaged, which, together with the enormous number of users who access it, places enormous strain on the web's architecture. This has led to the exposure of inherent flaws, which reduce its effectiveness as an information system. The thesis presents a thorough analysis of the state of this architecture, and identifies three flaws that could render the web unusable: link rot; a shrinking namespace; and the inevitable increase of noise in the system. A critical examination of existing solutions to these flaws is provided, together with a discussion on why the solutions have not been deployed or adopted. The thesis determines that they have failed to take into account the nature of the information flow between information provider and consumer, or the open philosophy of the web. The overall aim of the research has therefore been to design a new solution to these flaws in the web, based on a greater understanding of the nature of the information that flows upon it. The realization of this objective has included the development of a new model for managing information flow on the web, which is used to develop a solution to the flaws. The solution comprises three new additions to the web's architecture: a temporal referencing scheme; an Oracle Server Network for more effective web browsing; and a Resource Locator Service, which provides automatic transparent resource migration. The thesis describes their design and operation, and presents the concept of the Request Router, which provides a new way of integrating such distributed systems into the web's existing architecture without breaking it. The design of the Resource Locator Service, including the development of new protocols for resource migration, is covered in great detail, and a prototype system that has been developed to prove the effectiveness of the design is presented. The design is further validated by comprehensive performance measurements of the prototype, which show that it will scale to manage a web whose size is orders of magnitude greater than it is today

Implementing a resource list management system in an academic library

Purpose – The purpose of this paper is to review the key components of the introduction of a new resource list management system (RLMS) at Nottingham Trent University (NTU) using the Aspire application from Talis Education. It explains the key service goals; the implementation milestones; the main technical challenges which needed to be addressed; and the dynamic relationship between the rollout of the RLMS and existing selection, acquisition and resource delivery processes

A review of GIS-based information sharing systems

GIS-based information sharing systems have been implemented in many of England and Wales' Crime and Disorder Reduction Partnerships (CDRPs). The information sharing role of these systems is seen as being vital to help in the review of crime, disorder and misuse of drugs; to sustain strategic objectives, to monitor interventions and initiatives; and support action plans for service delivery. This evaluation into these systems aimed to identify the lessons learned from existing systems, identify how these systems can be best used to support the business functions of CDRPs, identify common weaknesses across the systems, and produce guidelines on how these systems should be further developed. At present there are in excess of 20 major systems distributed across England and Wales. This evaluation considered a representative sample of ten systems. To date, little documented evidence has been collected by the systems that demonstrate the direct impact they are having in reducing crime and disorder, and the misuse of drugs. All point to how they are contributing to more effective partnership working, but all systems must be encouraged to record how they are contributing to improving community safety. Demonstrating this impact will help them to assure their future role in their CDRPs. By reviewing the systems wholly, several key ingredients were identified that were evident in contributing to the effectiveness of these systems. These included the need for an effective partnership business model within which the system operates, and the generation of good quality multi-agency intelligence products from the system. In helping to determine the future development of GIS-based information sharing systems, four key community safety partnership business service functions have been identified that these systems can most effectively support. These functions support the performance review requirements of CDRPs, operate a problem solving scanning and analysis role, and offer an interface with the public. By following these business service functions as a template will provide for a more effective application of these systems nationally

Caring for Our Kupuna: Building an Aging in Place Movement in Hawaii

Government funding for elder care in the United States is becoming increasingly strained as the number of seniors and the cost of healthcare rise. Medicare paid $560 billion for hospital visits, prescription drugs, and other services in 2010 and expects to pay out just over$1 trillion by 2022. Medicaid, which covers long-term care for individuals with low income and assets, is the source of payment for 70% of nursing home stays across the country and paid $48.2 billion for senior residential care in 2007.As the costs of Medicare and Medicaid soar, practitioners in Hawaii and around the country have experimented with preventive and supportive aging-in-place services that reduce the cost of service while improving the lives of seniors. Rather than rushing an elder to the emergency room after a dangerous fall in the bathroom, providers have begun installing hand and safety rails in the home to prevent falls. Other providers are offering preventive health and nutrition classes that help seniors maintain their health and delay the need for long-term residential care. By focusing on preventive services rather than treating only advanced health needs, aging-in-place service providers are helping seniors maintain independence at home, avoid nursing home admission, reduce hospitalization, and minimize social isolation. Studies show that those who choose to age at home have better health outcomes while incurring significantly lower health costs than those who age in nursing homes. In addition to saving financial resources, aging in place is popular among seniors: a full 90% of American seniors share the desire to remain in their homes as they age.The value of aging in place is particularly relevant in Hawaii, which has the highest life expectancy of any state and the second highest cost of living in the country. By 2030, Hawaii expects to have an older population of 475,000 individuals, representing 29.7% of the population and a 310% increase during the 55-year period from 1980-2035. As the number of seniors aging in Hawaii rapidly increases, the state faces limited capacity in its residential care homes. With only 4,200 beds in nursing homes and 7,000 spaces in residential facilities in 2010, Hawaii's current facilities would be able to serve only 30% of the 38,000 older adults projected to need long-term care in 2035.6Increasing the portion of seniors aging in place could increase the happiness of Hawaii's seniors ("kupuna") and save significant resources for society. However, a continuum of wrap-around services must be available to seniors if they are to age in place effectively. Aging-in-place services must be available to transport elders, support needs in the home (safety, cleaning, cooking, etc.), connect elders with a community, provide respite for caregivers, and monitor and address health/nursing needs. Without this comprehensive support, elders living alone are not empowered to age with dignity and are more likely to become ill or incur injuries

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201