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#05 - Ontologies, Knowledge & Human-Machine Interfaces - Panos Alexopoulos

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Manage episode 293004210 series 2927087
内容由Boris Shalumov提供。所有播客内容(包括剧集、图形和播客描述)均由 Boris Shalumov 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Ontologies are a way to represent and communicate knowledge, understandable to both - machines and humans. But what level of expressivity is needed to be able to convey human thoughts and human understanding of the world to machines? Are current graph representation models sufficient for generalisation and reasoning? How many ontology engineers would it take to build an Enterprise-wide Knowledge Graph?
Great conversation with Panos Alexopoulos, Head of Ontology @textkernel and Author of "Semantic Modelling for Data".

  continue reading

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Manage episode 293004210 series 2927087
内容由Boris Shalumov提供。所有播客内容(包括剧集、图形和播客描述)均由 Boris Shalumov 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Ontologies are a way to represent and communicate knowledge, understandable to both - machines and humans. But what level of expressivity is needed to be able to convey human thoughts and human understanding of the world to machines? Are current graph representation models sufficient for generalisation and reasoning? How many ontology engineers would it take to build an Enterprise-wide Knowledge Graph?
Great conversation with Panos Alexopoulos, Head of Ontology @textkernel and Author of "Semantic Modelling for Data".

  continue reading

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