This major work on knowledge representation is based on the writings of Charles S. Peirce a
logician scientist and philosopher of the first rank at the beginning of the 20th century.
This 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. Peirce is a founder of pragmatism the uniquely American philosophy.Knowledge
representation is shorthand for how to represent human symbolic information and knowledge to
computers to solve complex questions. KR applications range from semantic technologies and
knowledge management and machine learning to information integration data interoperability
and natural language understanding. Knowledge representation is an essential foundation for
knowledge-based AI.This book is structured into five parts. The first and last parts are
bookends that first set the context and background and conclude with practical applications.
The three main parts that are the meat of the approach first address the terminologies and
grammar of knowledge representation then building blocks for KR systems and then design
build test and best practices in putting a system together. Throughout the book refers to
and leverages the open source KBpedia knowledge graph and its public knowledge bases including
Wikipedia and Wikidata. KBpedia is a ready baseline for users to bridge from and expand for
their own domain needs and applications. It is built from the ground up to reflect Peircean
principles.This book is one of timeless practical guidelines for how to think about KR and to
design knowledge management (KM) systems. The book is grounded bedrock for enterprise
information and knowledge managers who are contemplating a new knowledge initiative.This book
is an essential addition to theory and practice for KR and semantic technology and AI
researchers and practitioners who will benefit from Peirce's profound understanding of meaning
and context.
