716,579 research outputs found

    Generating User-centric Dynamic and Adaptable Knowledge Models for World Wide Web

    Get PDF
    GENERATING USER-CENTRIC DYNAMIC AND ADAPTABLE KNOWLEDGE MODELS FOR WORLD WIDE WEB By LEI LI JUNE, 2007 Committee Chair: Dr. Vijay Vaishnavi Major Department: Computer Information Systems In the current Internet age, more and more people, organizations, and businesses access the web to share and search for information. A web-based resource is often organized and presented based on its knowledge models (categorization structures). The static and inflexible knowledge models of web-based resources have become a major challenge for web users to successfully use and understand the information on the web. In this dissertation, I propose a research approach to generate user-centric dynamic and adaptable knowledge models for web-based resources. The user-centric feature means that a knowledge model is created based on a web user specified perspective for a web resource and that the user can provide feedback on the model building process. The dynamic feature means the knowledge models are built on the fly. The adaptable feature means the web user can have control of the user adaptation process by specifying his or her perspective for the web resource of interest. In this study, I apply a design science paradigm and follow the General Design Cycle (Vaishnavi and Kuechler 2004) during the course of research. A research prototype, Semantic Facilitator TM SM V2.0, has been implemented based on the proposed approach. A simulation-based experimentation is used to evaluate the research prototype. The experimental results show that the proposed research approach can effectively and efficiently create knowledge models on the fly based on a web user preferred perspective for the web resource. I found that incorporating user feedback into the modeling building process can greatly improve the quality of the knowledge models. At the end of the dissertation, I discuss the limitations and future directions of this research

    An Innovative Approach to the Integrated Management System Development: SIMPRO-IMS Web Based Environment

    Get PDF
    The purpose of this paper is to contribute to learning, knowledge creation and knowledge transfer for building organization innovability by integrating the management systems in the SIMPRO-IMS web based environment. The paper content consists of the interpretation of role-play simulation, role-play simulation process description, methodology, and the employment of role-play simulation outcomes, as well as the discussion of the knowledge thus obtained. Primary the model of the SIMPRO-Q education environment has been developed and tested during a period of 15 years in several industrial organizations as well as service organizations such as Higher Education Institution (HEI) and Healthcare Organization (HCO). The newest version SIMPRO-IMS has recently been developed to support a need of integration of management systems and information archiving. With the last development, SIMPRO-IMS web based environment, processes of five ISO systems are integrated for parallel development, implementation, auditing, maintaining and leading. SIMPRO-IMS provides management with the apparatus necessary to realize a systematic and verifiable approach to the creation and control of IMS documentation. At the same time contributes to the preservation of organization memory in response to the growing challenges of globalization and digitalization. The research is limited by the complexity of a real system and possible empiric results verification. The results achieved are verified when people really overcome the resistance to change. This can be assessed thoughtfully only after some period of time. Another limitation is presented by measurability of real enhancement achieved in quality, safety and environmentality of production, and business continuity and social responsibility of an organization. Development and progress in the methodology of SIMPRO-IMS web based environment is encoded in upgrading the SIMPRO database by processes of the environmental management, occupational health & safety management, information security management, energy management, service management, business continuity management and social responsibility management into one cohesive system with a holistic set of documentation, policies, procedures and processes, and a preserving knowledge for learning, new knowledge creation and knowledge transfer for building organization innovability

    Visualisation of semantic architectural information within a game engine environment

    Get PDF
    Because of the importance of graphics and information within the domain of architecture, engineering and construction (AEC), an appropriate combination of visualisation technology and information management technology is of utter importance in the development of appropriately supporting design and construction applications. We therefore started an investigation of two of the newest developments in these domains, namely game engine technology and semantic web technology. This paper documents part of this research, containing a review and comparison of the most prominent game engines and documenting our architectural semantic web. A short test-case illustrates how both can be combined to enhance information visualisation for architectural design and construction

    Planning and Design Soa Architecture Blueprint

    Full text link
    Service Oriented Architecture (SOA) is a framework for integrating business processes and supporting IT infrastructure as secure, standardized components-services-that can be reused and combined to address changing business priorities. Services are the building blocks of SOA and new applications can be constructed through consuming these services and orchestrating services within a business process. In SOA, services map to the business functions that are identified during business process analysis. Upon a successful implementation of SOA, the enterprise gain benefit by reducing development time, utilizing flexible and responsive application structure, and following dynamic connectivity of application logics between business partners. This paper presents SOA reference architecture blueprint as the building blocks of SOA which is services, service components and flows that together support enterprise business processes and the business goals

    An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

    Get PDF
    The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of LŽevy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, našıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

    New perspectives on Web search engine research

    Get PDF
    Purpose–The purpose of this chapter is to give an overview of the context of Web search and search engine-related research, as well as to introduce the reader to the sections and chapters of the book. Methodology/approach–We review literature dealing with various aspects of search engines, with special emphasis on emerging areas of Web searching, search engine evaluation going beyond traditional methods, and new perspectives on Webs earching. Findings–The approaches to studying Web search engines are manifold. Given the importance of Web search engines for knowledge acquisition, research from different perspectives needs to be integrated into a more cohesive perspective. Researchlimitations/implications–The chapter suggests a basis for research in the field and also introduces further research directions. Originality/valueofpaper–The chapter gives a concise overview of the topics dealt with in the book and also shows directions for researchers interested in Web search engines
    • 

    corecore