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Information Technology

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Displaying 1001 - 1025 of 4392

Should ontologies be evaluated?

September 1, 2016
Author(s)
Judith R. Gelernter, Jyoti Jha
Ontologies are semantic tools for Artificial Intelligence. Ontologies list and define objects in a domain and the relationship among objects such as to do reasoning within and among systems. Mistakes within ontologies bring system errors if their use in a

Estimating t-way Fault Profile Evolution During Testing

August 25, 2016
Author(s)
David R. Kuhn, Raghu N. Kacker, Lei Yu
Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper

Ontology-based laser and thermal metamodels for metal-based additive manufacturing

August 24, 2016
Author(s)
Paul Witherell, Ibrahim Assouroko, Roh Byeong-Min, Timothy Simpson, Soundar Kumara
Additive manufacturing (AM) is creating renewed interest in manufacturing thanks to the freedom it provides to design and innovate. One of the biggest challenges in AM is inadequate repeatability in product quality and reliability of the process for

NIST Updates Personal Identity Verification (PIV) Guidelines

August 10, 2016
Author(s)
Hildegard Ferraiolo, Larry Feldman, Gregory A. Witte
This bulletin summarized the information presented in NIST SP 800-156: Derived PIV Application and Data Model Test Guidelines and NIST SP 800-166: Representation of PIV Chain-of-Trust for Import and Export. These publications support Federal Information

A New International Data Science Program

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Wo L. Chang
This article sets out to examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Research Program and associated Data Science Evaluation (DSE) series

Data Science Research Program at NIST Information Access Division

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Edmond J. Golden III, Wo L. Chang
We examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Initiative and evaluation series, introduced by the Information Access Division at the
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