Pasche Emilie, Gobeill Julien, Teodoro Douglas, Gaudinat Arnaud, Vishnykova Dina, Lovis Christian, Ruch Patrick
University of Geneva, Switzerland.
Stud Health Technol Inform. 2012;180:204-9.
Patent collections contain an important amount of medical-related knowledge, but existing tools were reported to lack of useful functionalities. We present here the development of TWINC, an advanced search engine dedicated to patent retrieval in the domain of health and life sciences. Our tool embeds two search modes: an ad hoc search to retrieve relevant patents given a short query and a related patent search to retrieve similar patents given a patent. Both search modes rely on tuning experiments performed during several patent retrieval competitions. Moreover, TWINC is enhanced with interactive modules, such as chemical query expansion, which is of prior importance to cope with various ways of naming biomedical entities. While the related patent search showed promising performances, the ad-hoc search resulted in fairly contrasted results. Nonetheless, TWINC performed well during the Chemathlon task of the PatOlympics competition and experts appreciated its usability.
专利文献集合包含了大量与医学相关的知识，但据报道现有的工具缺乏有用的功能。我们在此展示了TWINC的开发，这是一个致力于健康和生命科学领域专利检索的先进搜索引擎。我们的工具嵌入了两种搜索模式：一种是临时搜索，用于在给定简短查询时检索相关专利；另一种是相关专利搜索，用于在给定一项专利时检索相似专利。两种搜索模式都依赖于在几次专利检索竞赛期间进行的调优实验。此外，TWINC还通过交互式模块得到了增强，例如化学查询扩展，这对于应对生物医学实体的各种命名方式至关重要。虽然相关专利搜索表现出了良好的性能，但临时搜索的结果却反差较大。尽管如此，TWINC在PatOlympics竞赛的Chemathlon任务中表现出色，并且专家们对其可用性给予了认可。
