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BiOnIC:生物医学本体用户交互目录。

BiOnIC: A Catalog of User Interactions with Biomedical Ontologies.

作者信息

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

机构信息

Stanford Center for Biomedical Informatics Research, Stanford University.

出版信息

Semant Web ISWC. 2017 Oct;10588:130-138. doi: 10.1007/978-3-319-68204-4_13. Epub 2017 Oct 4.

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.

摘要

BiOnIC是一个关于用户点击、查询以及200多种生物医学本体访问重用次数的聚合统计目录。BiOnIC还提供了用户在四年时间内访问的类的匿名序列。为了生成这些统计数据,我们处理了大型开放生物医学本体存储库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,我们通过在三种不同类型的应用中使用它来进行展示。据我们所知,这种源自真实世界大规模应用的交互数据以前从未发布过。我们期望该目录通过提供关于本体如何被探索、查询和重用的新颖见解,成为语义网社区研究人员和开发者的重要资源。BiOnIC目录最终可能通过界面定制、用户浏览和查询行为预测以及本体摘要,协助更明智地开发语义资源的智能用户界面。BiOnIC目录可在以下网址获取:http://onto-apps.stanford.edu/bionic

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cb2/5889949/5ec0f9dbf014/nihms953140f1.jpg

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