PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Hierarchical Indexing and Documents Matching in BoW
Maayan Geffet and Dror G. Feitelson
JCDL, June 2001, Roanoke, VA 2000.


BoW is an on-line bibliographical repository based on a hierarchical c oncept index to which entries are linked. Searching in the repository should therefore return matching topics from the hierarchy, rather than just a list of entries. Likewise, when new entries are inserted, a search for relevant topics to which they should be linked is required. We develop a vector-based algorithm that creates keyword vectors for the set of competing topics at each node in the hierarchy, and show how its performance improves when domain-specific features are added (such as special handling of topic titles and author names). The results of a 7-fold cross validation on a corpus of some 3,500 entries with a 5-level index are hit ratios in the range of 89-95%, and most of the misclassifications are indeed ambiguous to begin with.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:382
Deposited By:Maayan Geffet
Deposited On:18 December 2004