@inproceedings{9a8f903bfa1b494ba14d05e7f72dbf3d,
title = "Discovering areas of expertise from publication data",
abstract = "Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what areas within an organization. The key problem is acquiring validated knowledge of expertise and keeping that information up to date. In research organizations, publications are one source of evidence of expertise which can be used to identify who knows about what. In this paper we focus on evaluating the feasibility of a simple technique for uncovering expertise used as the foundation and starting point of maintaining a profile of validated expertise within an organization.",
keywords = "Expertise recommender system, Knowledge acquisition, Knowledge validation",
author = "Meredith Taylor and Debbie Richards",
year = "2009",
doi = "10.1007/978-3-642-01715-5_19",
language = "English",
isbn = "9783642017148",
volume = "5465 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "218--230",
editor = "Debbie Richards and Byeong-ho Kang",
booktitle = "Knowledge Acquisition: Approaches, Algorithms and Applications - Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Revised Selected Papers",
note = "Pacific Rim Knowledge Acquisition Workshop, PKAW 2008 ; Conference date: 15-12-2008 Through 16-12-2008",
}