Premium
Locating knowledge sources through keyphrase extraction
Author(s) -
Tedmori Sara,
Jackson Thomas W.,
Bouchlaghem Dino
Publication year - 2006
Publication title -
knowledge and process management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 44
eISSN - 1099-1441
pISSN - 1092-4604
DOI - 10.1002/kpm.250
Subject(s) - computer science , metadata , process (computing) , information extraction , information retrieval , knowledge extraction , world wide web , data mining , operating system
There are a large number of tasks for which keyphrases can be useful. Manually identifying keyphrases can be a tedious and time consuming process that requires expertise, but if automated could save time and aid in creating metadata that could be used to locate knowledge sources. In this paper, the authors present an automated process for keyphrase extraction from e‐mail messages. The process enables users to find other people who might hold the knowledge they require from information communicated via the e‐mail system. The effectiveness of the extraction system is tested and compared against other extraction systems and the overall value of extracting information from e‐mail explored. Copyright © 2006 John Wiley & Sons, Ltd.