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Title: Expertise Identification with Data Analytics.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the Predictive Analytics World - Government held October 17-20, 2016 in Washington, DC.
Country of Publication:
United States

Citation Formats

Barnes, Dann T, and Huang, Gary. Expertise Identification with Data Analytics.. United States: N. p., 2016. Web.
Barnes, Dann T, & Huang, Gary. Expertise Identification with Data Analytics.. United States.
Barnes, Dann T, and Huang, Gary. Sat . "Expertise Identification with Data Analytics.". United States. doi:.
title = {Expertise Identification with Data Analytics.},
author = {Barnes, Dann T and Huang, Gary},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Oct 01 00:00:00 EDT 2016},
month = {Sat Oct 01 00:00:00 EDT 2016}

Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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  • The mission of the national laboratories has changed from weapon design and production to stockpile maintenance. Design engineers are becoming few in number and years worth of experience is about to be lost. What will happen when new weapons are designed or retrofits need to be made? Who will know the lessons learned in the past? What process will be followed? When and what software codes should be used? Intelligent design is the answer to the questions posed above for weapon design; for any design. An interactive design development environment will allow the designers of the future access to themore » knowledge of yesterday, today and tomorrow. Design guides, rules of thumb, lessons learned, production capabilities, production data, process flow, and analysis codes will be included in intelligent design. An intelligent design environment is being developed as a heuristic, knowledge based system and as a diagnostic design tool. The system provides the framework for incorporating rules of thumb from experienced design engineers, available manufacturing processes, including the newest ones, and manufacturing databases, with current data, to help reduce design margins. The system also has the capability to access analysis and legacy codes appropriately. A modular framework allows for various portions to be added or deleted based on the application. This paper presents the driving forces for developing an intelligent design environment and an overview of the system. This overview will include the system architecture and how it relates to the capture and utilization of design and manufacturing knowledge. The paper concludes with a discussion of realized and expected benefits.« less
  • The Geologist's Assistant combines expert system technology with numerical pattern-matching and online communication to a large database. This paper discusses the types of rules used for the expert system, the pattern-matching technique applied, and the implementation of the system using a commercial expert system development environment. 13 refs., 8 figs.