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Το περιεχόμενο παρέχεται από το Larry Swanson. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Larry Swanson ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
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Ashleigh Faith: Knowledge Graphs for Content – Episode 121

 
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Manage episode 334250183 series 1927771
Το περιεχόμενο παρέχεται από το Larry Swanson. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Larry Swanson ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
Ashleigh Faith Knowledge graph technology can help content programs in many ways: to aid content discoverability, to discover valuable insights in existing content, and to build transparent personalization programs that build brand loyalty and foster customer trust. Ashleigh Faith has worked with content and knowledge graphs for more than 15 years and has a knack for explaining the benefits of the technology, most notably via her very popular YouTube channel. We talked about: how structured content aids in content discoverability how to help both machines and humans understand the content in documents the right way to benefit from machine learning in content practice the difference between AI and machine learning what a knowledge graph is, how it works, and it can help you infer and extract meaning from content how knowledge graphs enable linked data (not necessarily Linked Open Data) how a knowledge graph used as a data fabric or a data mesh can quickly connect disparate data and content sources how these technologies make humans more effective at what they're already doing the differences between table thinking and graph thinking the trend of relational databases to add graph componentry how graph technology can help you find connections between assets that you could never find with traditional technology how knowledge graph technology can capture human knowledge and turn it into actionable business activities how knowledge graphs help with content personalization how a transparent "personal knowledge graph" - a collection of interests that your customers share and your content supports - can build brand loyalty and foster customer trust the importance in the midst of all of this fancy content, taxonomy, and metadata technology to stay focused on the human beings you are serving. Ashleigh's bio Ashleigh Faith is the Director of Platform Knowledge Graph and Semantic Search at EBSCO, one of the largest global academic search engines. Her focus is bridging the gap between users and content. She has her PhD, focused on Advanced Semantics, and she has worked in the search and data community for over 15 years. Her main focus is knowledge graph, semantic search, and general information architecture. Connect with Ashleigh online LinkedIn YouTube Video Here’s the video version of our conversation: https://youtu.be/B7uUTcT5jf4 Podcast intro transcript This is the Content Strategy Insights podcast, episode number 121. You may have heard about knowledge graphs from a friend in data science or enterprise governance, or maybe in a news story about the latest trends in scientific research. Ashleigh Faith wants you to know that content programs can also benefit from this powerful technology. Whether you're trying to make your content more discoverable, looking for fresh insights in your existing content, or building a truly user-centered personalization system, knowledge graphs can help. Interview transcript Larry: Hi, everyone. Welcome to episode number 121 of the Content Strategy Insights Podcast. I am really delighted today to welcome to the show Ashleigh faith. Ashleigh is a long time... Well she's worked in publishing and content for a long time doing really fancy technical stuff and graph stuff. She also does a brilliant YouTube channel that explains the stuff that she works on all day. So welcome to the show, Ashleigh. Tell the folks a little bit more about what you're up to these days. Ashleigh: Wow. Thanks, Larry. So, yeah, I've been working in content for quite some time. I'm at, I think 15 years now, and I've always worked in and around publishing. So, making sure you understand the importance of structured data behind the scenes of the content, right? Like you can't do any machine learning without that. You can't do any enhancements without that. I fought that good fight for a long time. Still am to a certain extent.
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137 επεισόδια

Artwork
iconΜοίρασέ το
 
Manage episode 334250183 series 1927771
Το περιεχόμενο παρέχεται από το Larry Swanson. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Larry Swanson ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
Ashleigh Faith Knowledge graph technology can help content programs in many ways: to aid content discoverability, to discover valuable insights in existing content, and to build transparent personalization programs that build brand loyalty and foster customer trust. Ashleigh Faith has worked with content and knowledge graphs for more than 15 years and has a knack for explaining the benefits of the technology, most notably via her very popular YouTube channel. We talked about: how structured content aids in content discoverability how to help both machines and humans understand the content in documents the right way to benefit from machine learning in content practice the difference between AI and machine learning what a knowledge graph is, how it works, and it can help you infer and extract meaning from content how knowledge graphs enable linked data (not necessarily Linked Open Data) how a knowledge graph used as a data fabric or a data mesh can quickly connect disparate data and content sources how these technologies make humans more effective at what they're already doing the differences between table thinking and graph thinking the trend of relational databases to add graph componentry how graph technology can help you find connections between assets that you could never find with traditional technology how knowledge graph technology can capture human knowledge and turn it into actionable business activities how knowledge graphs help with content personalization how a transparent "personal knowledge graph" - a collection of interests that your customers share and your content supports - can build brand loyalty and foster customer trust the importance in the midst of all of this fancy content, taxonomy, and metadata technology to stay focused on the human beings you are serving. Ashleigh's bio Ashleigh Faith is the Director of Platform Knowledge Graph and Semantic Search at EBSCO, one of the largest global academic search engines. Her focus is bridging the gap between users and content. She has her PhD, focused on Advanced Semantics, and she has worked in the search and data community for over 15 years. Her main focus is knowledge graph, semantic search, and general information architecture. Connect with Ashleigh online LinkedIn YouTube Video Here’s the video version of our conversation: https://youtu.be/B7uUTcT5jf4 Podcast intro transcript This is the Content Strategy Insights podcast, episode number 121. You may have heard about knowledge graphs from a friend in data science or enterprise governance, or maybe in a news story about the latest trends in scientific research. Ashleigh Faith wants you to know that content programs can also benefit from this powerful technology. Whether you're trying to make your content more discoverable, looking for fresh insights in your existing content, or building a truly user-centered personalization system, knowledge graphs can help. Interview transcript Larry: Hi, everyone. Welcome to episode number 121 of the Content Strategy Insights Podcast. I am really delighted today to welcome to the show Ashleigh faith. Ashleigh is a long time... Well she's worked in publishing and content for a long time doing really fancy technical stuff and graph stuff. She also does a brilliant YouTube channel that explains the stuff that she works on all day. So welcome to the show, Ashleigh. Tell the folks a little bit more about what you're up to these days. Ashleigh: Wow. Thanks, Larry. So, yeah, I've been working in content for quite some time. I'm at, I think 15 years now, and I've always worked in and around publishing. So, making sure you understand the importance of structured data behind the scenes of the content, right? Like you can't do any machine learning without that. You can't do any enhancements without that. I fought that good fight for a long time. Still am to a certain extent.
  continue reading

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