论文标题
软件工程事件建模在时间知识图中使用相对时间
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs
论文作者
论文摘要
我们根据最大的社会编码平台之一Github的工件之间的每日互动介绍了多个关系的时间知识图。这样的表示可以提出许多用户活动和项目管理问题，例如在知识图上进行链接预测和时间查询。特别是，我们介绍了两个新数据集，用于i）插值时条件的链接预测和ii）外推时间条件的链接/时间预测查询，每个查询都具有杰出的属性。我们在这些数据集上的实验突出了调整知识图以回答广泛软件工程问题的潜力。同时，它还揭示了现有的时间模型在推断的查询和时间预测查询上的不令人满意的性能。为了克服这些缺点，我们使用有关过去事件的相对时间信息对当前的时间模型进行了扩展。
We present a multi-relational temporal Knowledge Graph based on the daily interactions between artifacts in GitHub, one of the largest social coding platforms. Such representation enables posing many user-activity and project management questions as link prediction and time queries over the knowledge graph. In particular, we introduce two new datasets for i) interpolated time-conditioned link prediction and ii) extrapolated time-conditioned link/time prediction queries, each with distinguished properties. Our experiments on these datasets highlight the potential of adapting knowledge graphs to answer broad software engineering questions. Meanwhile, it also reveals the unsatisfactory performance of existing temporal models on extrapolated queries and time prediction queries in general. To overcome these shortcomings, we introduce an extension to current temporal models using relative temporal information with regards to past events.
