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.