Abstract
In this paper we analyze a highly professional search setting of patent examiners of the United Patent and Trademark Office (USPTO). We gain insight into the search behavior of USPTO patent examiners to explore ways for enhancing query generation in patent searching. We show that query generation is highly patent domain specific and patent examiners follow a strict scheme for generating text queries. Means to enhance query generation in patent search are to suggest synonyms and equivalents, co-occurring terms and keyword phrases to the searchable features of the invention. Further, we show that term networks including synonyms and equivalents can be learned from the query logs for automatic query expansion in patent searching.
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References
Azzopardi, L., Vanderbauwhede, W., Joho, H.: Search system requirements of patent analysts. In: Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010), Geneva, Switzerland, pp. 775–776 (2010)
Clough, P., Berendt, B.: Report on the Treble CLEF query log analysis workshop 2009. SIGIR Forum 43, 71–77 (2009)
Garside, R., Smith, N.: A hybrid grammatical tagger: CLAWS4. In: Garside, R., Leech, G., McEnery, A. (eds.) Corpus Annotation: Linguistic Information from Computer Text Corpora, pp. 102–121. Longman, London (1997)
Jürgens, J.J., Hansen, P., Womser-Hacker, C.: Going beyond CLEF-IP: The ‘Reality’ for Patent Searchers? In: Catarci, T., Forner, P., Hiemstra, D., Peñas, A., Santucci, G. (eds.) CLEF 2012. LNCS, vol. 7488, pp. 30–35. Springer, Heidelberg (2012)
Magdy, W., Jones, G.J.F.: A Study of Query Expansion Methods for Patent Retrieval. In: Proceedings of PaIR 2011, Glasgow, Scotland, pp. 19–24 (2011)
Piroi, F., Lupu, M., Hanbury, A.: Effects of Language and Topic Size in Patent IR: An Empirical Study. In: Catarci, T., Forner, P., Hiemstra, D., Peñas, A., Santucci, G. (eds.) CLEF 2012. LNCS, vol. 7488, pp. 54–66. Springer, Heidelberg (2012)
Silverstein, C., Marais, H., Henzinger, M., Moricz, M.: Analysis of a very large web search engine query log. SIGIR Forum 33, 6–12 (1999)
Silvestri, F.: Mining Query Logs: Turning Search Usage Data into Knowledge. Foundations and Trends in Information Retrieval 4(1-2), 1–174 (2010)
Tannebaum, W., Rauber, A.: Acquiring lexical knowledge from Query Logs for Query Expansion in Patent Searching. In: The Proceedings of the 6th IEEE International Conference on Semantic Computing (IEEE ICSC 2012), Palermo, Italy (2012)
Tannebaum, W., Rauber, A.: Analyzing Query Logs of USPTO Examiners to Identify Useful Query Terms in Patent Documents for Query Expansion in Patent Searching: A Preliminary Study. In: Salampasis, M., Larsen, B. (eds.) IRFC 2012. LNCS, vol. 7356, pp. 127–136. Springer, Heidelberg (2012)
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Tannebaum, W., Rauber, A. (2013). Mining Query Logs of USPTO Patent Examiners. In: Forner, P., Müller, H., Paredes, R., Rosso, P., Stein, B. (eds) Information Access Evaluation. Multilinguality, Multimodality, and Visualization. CLEF 2013. Lecture Notes in Computer Science, vol 8138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40802-1_17
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DOI: https://doi.org/10.1007/978-3-642-40802-1_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40801-4
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