Semantic Content Graph Guild

Please share any learning resources or reference materials here that you've personally found helpful in your quest to learn about and understand semantic content concepts, practices, use cases, and technologies - be it online articles, blogs, books, research papers, whatever. I have a cache of my own I'll post here. If they directly apply to use with our genres of content even better.

Regards,
Michael

A few books I found useful:

Taxonomy

The Accidental Taxonomist
https://www.amazon.com/Accidental-Taxon ... 1573873977


Knowlege Graphs
The Knowledge Graph Cookbook: Recipes That Work
https://www.poolparty.biz/how-to-build- ... gL7WfD_BwE


Knowledge Graphs: Methodology, Tools and Selected Use Cases 1st ed. 2020 Edition (Easy read)
https://www.amazon.com/gp/product/30303 ... UTF8&psc=1


Knowledge Graphs: Fundamentals, Techniques, and Applications (More complex read, but more depth)
https://www.amazon.com/gp/product/02620 ... UTF8&psc=1

A few articles I found useful (I'll add to this list as I've socked away many more):

• What’s the Difference Between an Ontology and a Knowledge Graph?
  https://enterprise-knowledge.com/whats- ... dge-graph/
• Knowledge Graph Entity Representation and Retrieval
  https://www.researchgate.net/publicatio ... _Retrieval
• What is a knowledge graph?
  https://www.ibm.com/cloud/learn/knowledge-graph
• Knowledge Graphs vs. Property Graphs
  https://tdan.com/author/ipolikoff01
• Combining document retrieval with knowledge graphs for exploratory search
  https://dl.acm.org/doi/10.1145/2637002.2637060
• The DITA RDF project
  http://colinmaudry.github.io/dita-rdf/
• Methodology for Automatic Ontology Generation Using Database Schema Information
  https://www.hindawi.com/journals/misy/2018/1359174/

I've put together an online library that covers a lot of my personal and professional interests: linguistics, conversational AI, content modelling and information architecture. It's here: https://www.notion.so/convocat/Maaike-s ... a0dce79c97

The Personalization Paradox: https://contentrules.com/tpp/

The personalization paradox is a phenomenal book! (but I am biased as I was quoted a few times from when I was doing a pre-publish review) LOL.
Val Swisher is brilliant and one of my industry heroes.

Michael

Noy, N. & McGuiness, D. (n.d.). Ontology development 101: A guide to creating your first ontology
https://www.semanticscholar.org/paper/O ... 6d2180b637

This paper really helped me on my first class project in building an ontology. It was by far the most useful reading from the course.

Thanks David! Awesome resource.

I've read dozens of papers, articles, and many books on semantic technologies over the past several years. Precious few (read, nearly none) have been what I consider readable, comprehensive, and relatable to what we do in user experience content. Of course, there are gems - Heather's book of course on taxonomy, but for ontology, there's another gem - The AI-Powered Enterprise by Seth Earley. Seth has a deep history and background in intelligent content. Even though he doesn't hyperfocus on that element he put together what ought to be a required textbook for students and practitioners in our profession. He not only makes subjects like ontology simple to understand (and why), but takes a systematic view soup-to-nuts view. It's not a how-to like the paper David cites, but a great companion read.

https://www.amazon.com/AI-Powered-Enter ... 1928055508

I've been chatting with Seth planning to meet soon; I'd like to get him to come to speak with our guild - I'm sure it would be amazing. Wish me luck.

Michael

Kurt Kagel writes for Forbes. I just asserted in my CIDM ConVex presentation last week that KGs will be the main integrating/enabling technology for Web 3.0 - and when I arrived home I found this article he had written as far back as Dec 2019 - go figure.

The Coming Merger of Blockchain and Knowledge Graphs
https://medium.com/metaphorical-web/the ... 73bd7003c0

Not long before that Kurt wrote and published the following article in Forbes: Why Knowledge Bases Are The Next Big Thing
https://www.forbes.com/sites/cognitivew ... cb6ad0b3f2

and this one too:

Taxonomies vs. Ontologies
https://www.forbes.com/sites/cognitivew ... c4d097d539

All great reads.

In this link is a series of podcasts with Patrick Bosek of Heretto, a CMS. There's a three-part podcast I hight recommend that is worth your time on ontology and knowledge graphs:

https://heretto.com/project/content-com ... e=hs_email

Regards,
Michael