Prior Art Search Using International Patent Classification Codes and All-Claims-Queries

In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art search for patent applications. We used the Apache Lucene IR library to conduct experiments with the traditional TF-IDF-based ranking approach, indexing both the textual content of each patent and the IPC codes assigned to each document. We formulated our queries by using all claims and the title of a patent application in order to measure the (weighted) lexical overlap between topics and prior art candidates. We also formulated a language-independent query using the IPC codes of a document to improve the coverage and to obtain a more accurate ranking of candidates. Additionally, we used the IPC taxonomy (the categories and their short descriptive texts) to create a Concept Based Query Expansion [14] model for measuring the semantic overlap between topics and prior art candidates and tried to incorporate this info...

• Type: Conference
• Year: 2009
• Where: CLEF
• Authors: Benjamin Herbert, György Szarvas, Iryna Gurevych
• Keywords: CLEF 2009, Information Technology, IPC Codes, Prior Art, Prior Art Candidates