Johann Nguyen

University of Central Florida, Orlando, Florida, United States

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Publications (5)1 Total impact

  • [Show abstract] [Hide abstract] ABSTRACT: This article describes a knowledge preservation and re-use tool designed to capture the knowledge of a specific individual at the US National Science Foundation, for later retrieval by successors after his retirement. The system is designed in a Q&A format, where it is sufficiently intelligent to ask for clarifying questions. The primary objective was to create a system that would result in acceptance of the system by the users. The domain of interest to be preserved and re-used was programmatic knowledge about the NSF Industry/University Collaborative Research Centers (I/UCRC) Program, and more specifically, the knowledge of its long-time director, Dr. Alex Schwarzkopf. The system is called AskAlex and it uses a trio of techniques to accomplish its objectives. Contextual graphs (CxG) are used as the basic knowledge representation structure. CxG's are assisted by a search engine and an ontology of terms to help find the proper contextual graph that can best answer the question being asked. Evaluations with users and potential users generally confirm our selection and provided some guidance for improvements in the system.
    No preview · Article · Mar 2015 · International Journal of Artificial Intelligence Tools
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    [Show abstract] [Hide abstract] ABSTRACT: This article describes an investigation into the feasibility of using contextual reasoning to monitor and supervise the collaborative work of several knowledge workers working together on a project. Managing large and complex projects is a difficult task that requires situational awareness by the project manager to be able to be proactive when possible and to react correctly in the presence of events. In complex projects, effective oversight of the project personnel and the progress of the project are essential in ensuring that project objectives are met. This is especially true of projects that require contributions from various experts, whose interaction may be limited to a Web-based collaborative tool. Such oversight is typically the job of a project manager who is tasked with avoiding cost overruns, shipment delays, and ensuring product effectiveness. We utilize context-based reasoning and contextual graphs as the tools of choice for implementing an agent that emulates the function of a competent project manager. We use rocket design and manufacture as the domain to evaluate our technique. We use a public domain rocket design software package developed by the National Aeronautics and Space Administration as a guide to the domain. The article describes the investigation, its results, and the related works in a collaborative design project.
    Full-text · Article · Feb 2011 · Artificial intelligence for engineering design analysis and manufacturing
  • [Show abstract] [Hide abstract] ABSTRACT: In order to make CSCW (Computer Supported Cooperative Works) more intelligent and dependable, the usefulness of contextual reasoning is discussed in this paper. To ensure the project objectives are met, a project manager (PM) maintaining control of the project plays much important roles in complex projects where interaction may be limited to a web-based collaborative tool. In such limitations, he should more strongly help avoid cost overruns, shipment delays, but most importantly, product performance including product reliability. We utilize Context-based Reasoning (CxBR) for implementing such control measures as typically used by competent PMs. A rocket development project is used as the domain to evaluate our technique, using NASA’s open software for rocket design. Through the experimental evaluation, the easiness of validation and refinement of Knowledge represented by CxBR is clarified. As well, this Knowledge representation is expected to be effective even for building a web-based complex and intelligent CSCW system where biological sensor fusions are included for situational assessment to aim at the further reliable collaboration support that can avoid such as misunderstanding, mishearing, etc.
    No preview · Article · Nov 2008
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    [Show abstract] [Hide abstract] ABSTRACT: This paper describes a research project that investigated the feasibility of using contextual reasoning to supervise the collaborative work of knowledge workers. In complex projects that require contributions from various experts but whose interaction may be limited to a web-based collaborative tool, proper management of the project is essential to ensure that the project objectives are met. This is typically the job of a project manager. We assert that having situational awareness is likewise essential to managing a project, and we utilize Context-based Reasoning (CxBR) as the tool of choice for implementing situational awareness in an agent that assists project managers. We use rocket design and manufacture as the domain to evaluate our approach. We make use of public domain rocket design software developed by NASA as a guide to the domain. The paper describes the investigation and the related works involved in collaborative design project, as embodied by designing and building a small rocket.
    Full-text · Conference Paper · Oct 2008
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    Johann V. Nguyen · Brian C. Becker · Avelino J. Gonzalez
    [Show abstract] [Hide abstract] ABSTRACT: Decision support systems that capture, preserve, and reuse implicit knowledge can greatly benefit from explicitly using context. The development of this type of system can benefit from a context-based knowledge representation paradigm to be effective in real-world applications. This paper describes how the implementation of the contextual graphs formalism in the AlexDSS system addresses the system's use of context. Contextual graph's explicit use of context combats the common user interaction problems of irrelevancy and redundancy that plague knowledge-based systems. The development of AlexDSS supports the notion that the contextual graph's formalism is a viable solution for a real- world decision support system. This paper discusses how contextual graphs are employed in decision support systems.
    Full-text · Conference Paper · Jan 2006