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Understanding an enterprise's workforce and skill-set can be seen as the key to understanding an organization's capabilities. In today's large organizations it has become increasingly difficult to find people that have specific skills or expertise or to explore and understand the overall picture of an organization's portfolio of topic expertise. This article presents a case study of analyzing and visualizing such expertise with the goal of enabling human users to assess and quickly find people with a desired skill set. Our approach is based on techniques like n-grams, clustering, and visualization for improving the user search experience for people and skills.
Jan Brunnert, Omar Alonso, and Dirk Riehle. "Enterprise People and Skill Discovery Using Tolerant Retrieval and Visualization." In Proceedings of the 29th European Conference on Information Retrieval. Lecture Notes in Computer Science Vol. 4425. Springer, 2007. Page 674-677.
This four-page poster is available as a PDF file.
Copyright (©) 2007 ACM. All rights reserved.
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