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语用本体演化:协调用户需求和应用程序性能

Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance
课程网址: http://videolectures.net/iswc2018_osborne_pragmatic_ontology_evol...  
主讲教师: Francesco Osborne
开课单位: 开放大学知识媒体研究所(KMI)
开课时间: 2018-11-22
课程语种: 英语
中文简介:
越来越多的组织采用本体论来描述他们的大型物品目录。这些本体需要根据领域的变化和新需求的出现而有规律地发展。这个过程的一个重要步骤是选择要包含在新版本的本体中的候选概念。此操作需要考虑各种因素,特别是协调用户需求和应用程序性能。当前的本体进化方法要么侧重于根据概念的相关性对其进行排序,要么侧重于保持与现有应用程序的兼容性。然而,他们没有考虑本体演化过程对计算任务性能的影响——例如,在这项工作中,我们关注实例标记、相似性计算、建议生成和数据聚类。在本文中,我们提出了语用本体进化(POE)框架,这是一种新的方法,用于从一组候选中选择一组能够生成给定本体的新版本的概念,该版本i)与一组用户需求(例如,本体中的最大概念数)一致,ii)相对于多个维度(例如,拓扑考虑)被参数化,以及iii)有效地支持相关的计算任务。我们的方法还通过展示某些选择(如限制概念数量或优先考虑流行概念而非历史概念)如何影响应用程序性能,来支持用户在可能的解决方案空间中导航。对编辑分类的Springer Nature分类法的真实场景进行的POE评估取得了优异的结果,证明了对替代方法的显著改进。
课程简介: Increasingly, organizations are adopting ontologies to describe their large catalogues of items. These ontologies need to evolve regularly in response to changes in the domain and the emergence of new requirements. An important step of this process is the selection of candidate concepts to include in the new version of the ontology. This operation needs to take into account a variety of factors and in particular reconcile user requirements and application performance. Current ontology evolution methods focus either on ranking concepts according to their relevance or on preserving compatibility with existing applications. However, they do not take in consideration the impact of the ontology evolution process on the performance of computational tasks – e.g., in this work we focus on instance tagging, similarity computation, generation of recommendations, and data clustering. In this paper, we propose the Pragmatic Ontology Evolution (POE) framework, a novel approach for selecting from a group of candidates a set of concepts able to produce a new version of a given ontology that i) is consistent with the a set of user requirements (e.g., max number of concepts in the ontology), ii) is parametrised with respect to a number of dimensions (e.g., topological considerations), and iii) effectively supports relevant computational tasks. Our approach also supports users in navigating the space of possible solutions by showing how certain choices, such as limiting the number of concepts or privileging trendy concepts rather than historical ones, would reflect on the application performance. An evaluation of POE on the real-world scenario of the evolving Springer Nature taxonomy for editorial classification yielded excellent results, demonstrating a significant improvement over alternative approaches.
关 键 词: 语用本体演化; 协调用户需求; 应用程序性能; Springer Nature分类法
课程来源: 视频讲座网
数据采集: 2022-12-15:cyh
最后编审: 2023-05-15:cyh
阅读次数: 22