Posted:May 17, 2021

Charles Sanders Peirce, Age 20Latest Release Completes the Free Distribution of A Knowledge Representation Practionary

As of today, I have completed the release of all chapters and appendices separately as well as the full book of A Knowledge Representation Practionary. These free PDFs are the author’s preprint versions. Today’s release is of the full book. The AKRP page provides the specific links.

A Knowledge Representation Practionary is a major work on knowledge representation based on the insights of Charles S. Peirce, shown at age 20 in 1859, who was the 19th century founder of American pragmatism, and also a logician, scientist, mathematician, and philosopher of the first rank. The book follows Peirce’s practical guidelines and universal categories in a structured approach to knowledge representation that captures differences in events, entities, relations, attributes, types, and concepts. Besides the ability to capture meaning and context, the Peircean approach is also well-suited to machine learning and knowledge-based artificial intelligence.

Springer subscribers still have free access to the official version of the book in PDF form and for $25 can obtain a softcover, printed version. However, for all others, please refer to the AKRP page for access details on the preprint PDFs.

Posted by AI3's author, Mike Bergman Posted on May 17, 2021 at 10:54 am in A Knowledge Representation Practionary | Comments (0)
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Posted:April 20, 2021

A Knowledge Representation PractionaryI Release the Final Chapters from A Knowledge Representation Practionary

I have completed the release of the final four chapters from my book, A Knowledge Representation Practionary, as free PDF downloads in the author’s preprint version. The preprints are the last complete version before final editing and formatting by the publisher.

In this release, I have completed the release of all AKRP chapters by adding: 5. The Precepts, 8. KR Vocabulary and Languages, 11. Knowledge Graphs and Bases, and 14. Testing and Best Practices.

Springer subscribers still have free access to the official version of the book in PDF form and for $25 can obtain a softcover, printed version. However, for all others, please refer to the AKRP page for access details on all of the preprint, free chapters.

Posted by AI3's author, Mike Bergman Posted on April 20, 2021 at 10:38 am in A Knowledge Representation Practionary | Comments (0)
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Posted:March 17, 2021

A Knowledge Representation PractionaryFive More Chapters from AKRP Now Available

I have added five more chapters from my book, A Knowledge Representation Practionary, as free PDF downloads in the author’s (preprint) version.

In this latest release, I have added these chapters: 4. The Opportunity, 7. A KR Terminology, 10. Modular, Expandable Typologies, 13. Building Out the System, and 16. Potential Uses in Depth.

This latest release continues the process to release all of the book chapters in the author’s version. I welcome your feedback and comments.

Springer subscribers still have free access to the official version of the book in PDF form and for $25 can obtain a softcover, printed version. However, for all others, please refer to my standard AKRP page for updates on additional free chapters.

Posted:March 1, 2021

A Knowledge Representation PractionaryMore Chapters from A Knowledge Representation Practionary Now Available in Author’s Version

I am adding five more chapters from my book, A Knowledge Representation Practionary, as free PDF downloads in the author’s version. This is the last complete version before final editing and formatting by the publisher.

In this release, I am adding these chapters: 3. The Situation, 6. The Universal Categories, 9. Keeping the Design Open, 12. Platforms and Knowledge Management, and 15. Potential Uses in Breadth.

My intent over the next few months is to release all of the book chapters in the author’s version. I’d love to hear your feedback!

Springer subscribers still have free access to the official version of the book in PDF form and for $25 can obtain a softcover, printed version. However, for all others, please refer to my standard AKRP page for updates on additional free chapters.

Posted by AI3's author, Mike Bergman Posted on March 1, 2021 at 9:40 am in A Knowledge Representation Practionary | Comments (0)
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Posted:February 22, 2021

Hierarchy; image from https://sloanreview.mit.edu/article/the-truth-about-hierarchy/Discusses the Role of Order and Complexity in Knowledge Systems

I was very pleased when the editor of the ISKO Encyclopedia of Knowledge Organization (IEKO), Birger Hjørland, asked me to draft an article on ‘hierarchy’ for peer review. ISKO, the International Society of Knowledge Organization, is the leading international society to advance conceptual work in knowledge organization for all kinds and purposes, such as databases, libraries, dictionaries and the Internet.

Birger had seen my earlier treatment of the hierarchy concept in my book, and felt an expansion of what I had produced there could be of use to this community. I agreed subject to being able to frame the topic using the guidance of Charles Sanders Peirce, to which Birger readily assented. After considerable research and expansion, the draft received many useful comments during review. The resulting paper, with nearly 300 references, has now been published.

Hierarchies — real or artificial — abound to help us organize our world. A hierarchy places items into a general order, where more ‘general’ is also more ‘abstract’. The etymology of the word hierarchy is grounded in notions of religious and social rank. My article, after a broad historical review, focuses on knowledge systems, an interloper of the term hierarchy since at least the 1800s.

Hierarchies in knowledge systems include taxonomies, classification systems, or thesauri in library and information science, and systems for representing information and knowledge to computers, notably ontologies, knowledge graphs, and knowledge representation languages. Hierarchies are the logical underpinning of inference and reasoning in these systems, as well as the scaffolding for classification and inheritance.

Hierarchies in knowledge systems express subsumption relations that have many flexible variants, which we can represent algorithmically, and thus computationally. My article dissects the dimensions of that variability, leading to a proposed typology of hierarchies useful to knowledge systems. The article argues through a perspective informed by Peirce that natural hierarchies are real, can be logically determined, and are the appropriate basis for knowledge systems. Description logics and semantic language standards such as RDF or OWL reflect this perspective, importantly through their open-world logic and vocabularies for generalized subsumption hierarchies.

I conclude the paper by highlighting recent research that suggests possible mechanisms for the emergence of natural hierarchies. These involve the nexus of chance, evolution, entropy, free energy, and information theory.

You may read the open access paper at https://www.isko.org/cyclo/hierarchy.

Posted by AI3's author, Mike Bergman Posted on February 22, 2021 at 11:25 am in Adaptive Information, Charles Sanders Peirce | Comments (0)
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