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引用次数: 0

摘要

哦,天哪,又出现了那个词——“语义”!这难道不是导致语义网失败并导致知识图谱出现的原因吗?事实上,许多相同的问题,特别是互操作性问题,在KGs中再次出现,因此我们必须在这个新领域探索老问题。当我们开始探索“个人知识图谱”(personal knowledge graph, PKG)时,这一点就更加重要了,PKG是指在KG技术中结合私人和公共信息的能力。在这次演讲中,我将讨论知识图、pkg、关联数据以及语义是如何紧密联系在一起的,以及为什么后者仍然与知识图在未来的增长和扩展有关——特别是与从中提取更好数据的能力有关。
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Knowledge graph semantics
Oh dear, there's that word again - "semantics!" Isn't that what doomed that Semantic Web thing and led to knowledge graphs instead? In fact, many of the same problems, and particularly problems with interoperability, arise again for KGs, and thus we must explore the old problem in this new area. This is even more important when we start to explore the "personal knowledge graph (PKG)," that is, the ability to have private and public information combined in KG technology. In this talk, I discuss how knowledge graphs, PKGs, linked data and, yes, semantics are all critically linked and why the latter is still relevant to the growth and scaling of knowledge graphs into the future - and specifically to the ability to extract better data from them.
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