Pasche Emilie, Gobeill Julien, Teodoro Douglas, Gaudinat Arnaud, Vishnyakova Dina, Lovis Christian, Ruch Patrick
SIMED, University Hospitals of Geneva and University of Geneva, Geneva, Switzerland.
Stud Health Technol Inform. 2012;174:121-5.
Health-related information retrieval is complicated by the variety of nomenclatures available to name entities, since different communities of users will use different ways to name a same entity. We present in this report the development and evaluation of a user-friendly interactive Web application aiming at facilitating health-related patent search. Our tool, called TWINC, relies on a search engine tuned during several patent retrieval competitions, enhanced with intelligent interaction modules, such as chemical query, normalization and expansion. While the functionality of related article search showed promising performances, the ad hoc search results in fairly contrasted results. Nonetheless, TWINC performed well during the PatOlympics competition and was appreciated by intellectual property experts. This result should be balanced by the limited evaluation sample. We can also assume that it can be customized to be applied in corporate search environments to process domain and company-specific vocabularies, including non-English literature and patents reports.
与健康相关的信息检索因命名实体可用的各种命名法而变得复杂，因为不同的用户群体将使用不同的方式来命名同一实体。我们在本报告中展示了一个旨在促进与健康相关的专利检索的用户友好型交互式网络应用程序的开发和评估。我们的工具名为TWINC，它依赖于在多次专利检索竞赛中进行调整的搜索引擎，并通过智能交互模块（如化学查询、规范化和扩展）进行了增强。虽然相关文章搜索功能显示出了有前景的性能，但特定搜索的结果却大相径庭。尽管如此，TWINC在专利奥运会竞赛中表现出色，并受到了知识产权专家的赞赏。这一结果应与有限的评估样本相权衡。我们还可以假设，它可以进行定制，以应用于企业搜索环境，处理领域和公司特定的词汇表，包括非英文文献和专利报告。
