论文标题
个人知识图：电子学习平台中的用例
Personal Knowledge Graphs: Use Cases in e-learning Platforms
论文作者
论文摘要
语义Web社区以小型用户为中心的知识图（KGS）引入了个人知识图（PKG）。 PKG填补了用户数据和兴趣的个性化表示的空白，这是大型，已建立的百科全书KGS（例如DBPEDIA）的差距。受到医疗领域中PKG的广泛使用以表示患者数据的启发，该博士提案旨在通过部署PKG来代表用户和学习者，在电子学习平台中采用类似的技术。我们提出了一种新型的PKG开发，该开发依赖于本体论，并互相链接链接的开放数据。因此，在尊重隐私的同时，在用户的特色数据中添加了个性化和解释性的维度。该研究设计是在两个用例中开发的：协作搜索学习平台和电子学习平台。我们的初步结果表明，电子学习平台可以通过提供个性化建议以及更多用户和特定于小组的数据来从我们的方法中受益。
Personal Knowledge Graphs (PKGs) are introduced by the semantic web community as small-sized user-centric knowledge graphs (KGs). PKGs fill the gap of personalised representation of user data and interests on the top of big, well-established encyclopedic KGs, such as DBpedia. Inspired by the widely recent usage of PKGs in the medical domain to represent patient data, this PhD proposal aims to adopt a similar technique in the educational domain in e-learning platforms by deploying PKGs to represent users and learners. We propose a novel PKG development that relies on ontology and interlinks to Linked Open Data. Hence, adding the dimension of personalisation and explainability in users' featured data while respecting privacy. This research design is developed in two use cases: a collaborative search learning platform and an e-learning platform. Our preliminary results show that e-learning platforms can get benefited from our approach by providing personalised recommendations and more user and group-specific data.
