Bill Grosso

Executive. Data Scientist. Entrepreneur. Consultant.

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Artificial Intelligence

Why the Semantic Web Is Hard (Conclusion)

  • by Bill Grosso
  • Posted on January 28, 2019January 28, 2019
  • Artificial Intelligence

Why the Semantic Web Is Hard (Conclusion)

Multipart article about why the Semantic Web failed, and a concrete illustration of the difficulty inherent in building out something like the Semantic Web. The conclusion talks about approaches to General AI and why the Semantic Web isn’t one of them.

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Why the Semantic Web Is Hard (Part III)

  • by Bill Grosso
  • Posted on January 21, 2019January 28, 2019
  • Artificial Intelligence

Why the Semantic Web Is Hard (Part III)

Multipart article about why the Semantic Web failed, and a concrete illustration of the difficulty inherent in building out something like the Semantic Web. Part 3 talks about why we can’t simply aggregate PEMF data and studies, and how hard the problem of data aggregation is in general.

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Why the Semantic Web Is Hard (Part II)

  • by Bill Grosso
  • Posted on January 14, 2019January 21, 2019
  • Artificial Intelligence

Why the Semantic Web Is Hard (Part II)

Multipart article about why the Semantic Web failed, and a concrete illustration of the difficulty inherent in building out something like the Semantic Web. Part 2 talks about the problem of chronic pain and introduces PEMF Therapy as a concrete example to think about.

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Why the Semantic Web Is Hard (Part I)

  • by Bill Grosso
  • Posted on January 7, 2019January 21, 2019
  • Artificial Intelligence

Why the Semantic Web is Hard (Part I)

Multipart article about why the Semantic Web failed, and a concrete illustration of the difficulty inherent in building out something like the Semantic Web. Part 1 is background about the Protege project and why the Semantic Web was exciting to me in the early 2000’s.

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My Work on Protege

  • by Bill Grosso
  • Posted on December 31, 2018September 14, 2020
  • Artificial Intelligence

My Work on Protege

From 1998 to 2001, I worked as an AI Researcher at Stanford (more precisely, at Stanford Medical Informatics). I worked on the Protege knowledge representation framework.

This is a brief discussion of what I did (and why), with links to papers and talks.

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