Cluster-Based Patent Retrieval Using International Patent Classification System

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 office...

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Bibliographische Detailangaben
Hauptverfasser: Kim, Jungi, Kang, In-Su, Lee, Jong-Hyeok
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung: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 auto-matically 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.
ISSN:0302-9743
1611-3349
DOI:10.1007/11940098_22