Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11818
Title: A taxonomic approach to the identification of intellectual capital from company reports
Authors: Cai, L
Tsui, E 
Cheung, CF 
Keywords: Extraction
Intellectual capital
Intelligent
Taxonomy
Issue Date: 2013
Publisher: IEEE
Source: 2013 4th IEEE International Conference on Software Engineering and Service Science (ICSESS), 23-25 May 2013, Beijing, p. 338-341 How to cite?
Abstract: As an important tool in terms of value creation, intellectual capital (IC) is getting the increasing attention about its role in organization management. However, the inadequate technique of identifying IC is still a big challenge for organizations in visualizing the complexity of IC. According to the latest development in IC, this paper presents an intelligent method to extract IC from the massive amount of data materials. The adopted method is via a pre-constructed an IC taxonomy and an intelligent tool to extract the IC-related information and classify the information into good, bad or neutral.
URI: http://hdl.handle.net/10397/11818
ISBN: 978-1-4673-4997-0
ISSN: 2327-0586
DOI: 10.1109/ICSESS.2013.6615319
Appears in Collections:Conference Paper

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