BiOnIC: A Catalog of User Interactions with Biomedical Ontologies.

Maulik R Kamdar, Simon Walk, Tania Tudorache, Mark A Musen
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Abstract

BiOnIC is a catalog of aggregated statistics of user clicks, queries, and reuse counts for access to over 200 biomedical ontologies. BiOnIC also provides anonymized sequences of classes accessed by users over a period of four years. To generate the statistics, we processed the access logs of BioPortal, a large open biomedical ontology repository. We publish the BiOnIC data using DCAT and SKOS metadata standards. The BiOnIC catalog has a wide range of applicability, which we demonstrate through its use in three different types of applications. To our knowledge, this type of interaction data stemming from a real-world, large-scale application has not been published before. We expect that the catalog will become an important resource for researchers and developers in the Semantic Web community by providing novel insights into how ontologies are explored, queried and reused. The BiOnIC catalog may ultimately assist in the more informed development of intelligent user interfaces for semantic resources through interface customization, prediction of user browsing and querying behavior, and ontology summarization. The BiOnIC catalog is available at: http://onto-apps.stanford.edu/bionic.

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BiOnIC:用户与生物医学本体互动目录。
BiOnIC 是一个用户点击、查询和重复使用次数的汇总统计目录,用于访问 200 多个生物医学本体。BiOnIC 还提供了四年内用户访问类的匿名序列。为了生成统计数据,我们处理了大型开放式生物医学本体库 BioPortal 的访问日志。我们使用 DCAT 和 SKOS 元数据标准发布 BiOnIC 数据。BiOnIC 目录具有广泛的适用性,我们通过它在三种不同类型应用中的使用证明了这一点。据我们所知,这种源自真实世界的大规模应用的交互数据以前从未发布过。我们希望该目录能够为本体如何被探索、查询和重用提供新的见解,从而成为语义网社区研究人员和开发人员的重要资源。通过界面定制、用户浏览和查询行为预测以及本体总结,BiOnIC 目录最终将有助于为语义资源开发更明智的智能用户界面。BiOnIC目录的网址为:http://onto-apps.stanford.edu/bionic。
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