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Cited 3 time in webofscience Cited 9 time in scopus
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Cluster-Based Patent Retrieval Using International Patent Classification System SCIE SCOPUS

Title
Cluster-Based Patent Retrieval Using International Patent Classification System
Authors
Kim, JKang, I.-SLee, J.-H.
Date Issued
2006-12
Publisher
Springer
Abstract
A patent collection provides a great test-bed for cluster-based information retrieval. International Patent Classification (IPC) system provides a hierarchical taxonomy with 5 levels of specificity. We regard IPC codes of patent applications as cluster information, manually assigned by patent officers according to their subjects. Such manual cluster provides advantages over automatically built clusters using document term similarities. There are previous researches that successfully apply cluster-based retrieval models using language modeling. We develop cluster-based language models that employ advantages of having manually clustered documents.
URI
https://oasis.postech.ac.kr/handle/2014.oak/35968
DOI
10.1007/11940098_22
ISSN
0302-9743
Article Type
Article
Citation
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE (ICCPOL2006), vol. 4285, page. 205 - 212, 2006-12
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이종혁LEE, JONG HYEOK
Grad. School of AI
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