A Novel Combined Term Suggestion Service for Domain-Specific Digital Libraries
A Novel Combined Term Suggestion Service for Domain-Specific Digital Libraries
复制标题
针对特定领域数字图书馆的新型组合术语建议服务
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Philipp Mayr
中科院分区：
文献类型：
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作者：
Daniel Hienert;Philipp Schaer;Johann Schaible;Philipp Mayr
交互式查询扩展可以帮助用户在他们的查询制定过程。我们进行了一项用户研究，有超过4,000名独立访问者和四种不同的搜索词建议服务设计方法。作为评估的基础，我们实现了使用三种不同词汇表的服务：（1）用户搜索术语，（2）术语服务中的术语和（3）同义词词典术语。此外，我们还创建了一个新的组合服务，它利用词库术语和特定领域的搜索术语推荐。我们的研究结果表明，基于词库的方法显然是使用更频繁的其他单一方法的实现相比。我们将其解释为一个强有力的指标，即术语建议机制应该是特定于域的，以接近用户术语。我们的新的组合方法，互连的词库服务与其他统计关系优于所有其他实现。我们所有的观察表明，特定领域的词汇可以支持用户在寻找替代概念和制定查询。
Interactive query expansion can assist users during their query formulation process. We conducted a user study with over 4,000 unique visitors and four different design approaches for a search term suggestion service. As a basis for our evaluation we have implemented services which use three different vocabularies: (1) user search terms, (2) terms from a terminology service and (3) thesaurus terms. Additionally, we have created a new combined service which utilizes thesaurus term and terms from a domain-specific search term recommender. Our results show that the thesaurus-based method clearly is used more often compared to the other single-method implementations. We interpret this as a strong indicator that term suggestion mechanisms should be domainspecific to be close to the user terminology. Our novel combined approach which interconnects a thesaurus service with additional statistical relations outperformed all other implementations. All our observations show that domainspecific vocabulary can support the user in finding alternative concepts and formulating queries.