Publications

Miller, Jennifer L.

A usability study on the comprehension and readability of transformed Corporate Policy System (CPS) content was conducted April 9-18, 2018. The purpose of the study included the following: 1. Measure participant's ability to comprehend transformed Corporate Policy Content using a multiple-choice quiz 2. Measure participant's ability to comprehend transformed Corporate Policy Content using the Cloze Test Methodology 3. Measure text readability of existing Corporate Policy Content 4. Measure text readability of transformed Corporate Policy Content 5. Measure text readability of a broad set of reading materials and see where the Corporate Policy System content ranked in comparison

Arpin, Bettina K.; Miller, Jennifer L.

Are your employees unhappy with internal corporate search? Frequent complaints include: too many results to sift through; results are unrelated/outdated; employees aren't sure which terms to search for. One way to improve intranet search is to implement a controlled vocabulary ontology. Employing this takes the guess work out of searching, makes search efficient and precise, educates employees about the lingo used within the corporation, and allows employees to contribute to the corpus of terms. It promotes internal corporate search to rival its superior sibling, internet search. We will cover our experiences, lessons learned, and conclusions from implementing a controlled vocabulary ontology at Sandia National Laboratories. The work focuses on construction of this ontology from the content perspective and the technical perspective. We'll discuss the following: (1) The tool we used to build a polyhierarchical taxonomy; (2) Examples of two methods of indexing the content: traditional 'back of the book' and folksonomy word-mapping; (3) Tips on how to build future search capabilities while building the basic controlled vocabulary; (4) How to implement the controlled vocabulary as an ontology that mimics Google's search suggestions; (5) Making the user experience more interactive and intuitive; and (6) Sorting suggestions based on preferred, alternate and related terms using SPARQL queries. In summary, future improvements will be presented, including permitting end-users to add, edit and remove terms, and filtering on different subject domains.

Arpin, Bettina K.; Miller, Jennifer L.

Abstract not provided.

Miller, Jennifer L.; Moser, Elizabeth C.; Wishard, Lisa

Sandia National Laboratories currently lacks a systematic approach to creating and managing its corporate information; e.g., content management to include metadata standards, taxonomy best practices and style guides. Within this environment, Sandia’s knowledge workers often create and recreate information structures without coordination or collaboration. This document puts forth best practices and standards for taxonomy development at Sandia National Laboratories. It is based on best practices gathered from industry, published industry standards, and the lessons learned from taxonomy projects at Sandia. The document is a direct response to a recommendation made in an FY07 milestone Evaluating the Value of Enterprise Taxonomy at Sandia National Laboratories that “…best practices and standards be developed by the Technical Library staff” (Miller, et. al. 2006).