Please use this identifier to cite or link to this item:
|Title:||Corpus building for corporate knowledge discovery and management: A case study of manufacturing||Authors:||Liu, Y.
|Issue Date:||2007||Citation:||Liu, Y.,Loh, H.T. (2007). Corpus building for corporate knowledge discovery and management: A case study of manufacturing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4692 LNAI (PART 1) : 542-550. ScholarBank@NUS Repository.||Abstract:||Building a collection of electronic documents, e.g. corpus, is a cornerstone for the research in information retrieval, text mining and knowledge management. In literature, very few papers have discussed the necessary concerns for building a corpus and explained the building process systematically. In this paper, we explain our work of building an enterprise corpus called manufacturing corpus version 1 (MCV1) for corporate knowledge management purpose. Relevant issues, e.g. input texts, category labels and policies, as well as its parallel coding process and quality measurements are discussed. The realworld automated text classification experiments based on MCV1 show the soundness of its coding process. Finally, suggestions are made on how the proposed approach can be implemented in a more economical manner. © Springer-Verlag Berlin Heidelberg 2007.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/73289||ISBN:||9783540748175||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.