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“A conceptual graph is a finite connected bipartite graph which consists of concepts and conceptual relations. Every conceptual relation has one or more arcs, each of which is linked to a concept. We define a multilevel conceptual graph to be a conceptual graph in which some of the concepts and conceptual relations arc sensitive.”

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John F. Sowa

Quelle: Conceptual Structures, 1984, p. 73 cited in: National Computer Security Conference Proceedings, 1992. DIANE Publishing Company. p. 320

“An analysis of the concept of mind is an important philosophical issue, but the analysis cannot be reduced to programming of physiological terms… [It remarks the importance of the question] the way people think and the way computers can simulate thinking.”

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John F. Sowa

Quelle: Conceptual Structures, 1984, p. 359 cited in: Rajiv Kishore, Ram Ramesh (2006) Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems. p. 300

“[The goal of the LOT (lattice of theories) is to create a framework] which can support an open-ended number of theories (potentially infinite) organized in a lattice together with systematic metalevel techniques for moving from one to another, for testing their adequacy for any given problem, and for mixing, matching, combining, and transforming them to whatever form is appropriate for whatever problem anyone is trying to solve.”

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John F. Sowa

Cited in: Roberto Poli, Michael Healy, Achilles Kameas (2010) Theory and Applications of Ontology: Computer Applications . p. 533
Knowledge representation, 2000

“Soon, the enterprise of the information age will find itself immobilized if it does not have the ability to tap the information resources within and without its boundaries.”

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John F. Sowa

Zachman & Sowa (1992, p. 613), cited in: Nik Bessis, Fatos Xhafa (2011) Next Generation Data Technologies for Collective Computational Intelligence. p. 84

“The word ontology comes from the Greek ontos for being and logos for word. It is a relatively new term in the long history of philosophy, introduced by the 19th century German philosophers to distinguish the study of being as such from the study of various kinds of beings in the natural sciences. The traditional term for the types of beings is Aristotle's word category, which he used for classifying anything that can be said or predicated about anything.”

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John F. Sowa

John F. Sowa, "Building, Sharing and Merging Ontologies" http://www.jfsowa.com/ontology/ontoshar.htm on jfsowa.com. Last Modified: 01/18/2009.

“We define a semantic network as "the collection of all the relationships that concepts have to other concepts, to percepts, to procedures, and to motor mechanisms" of the knowledge."”

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John F. Sowa

Quelle: Conceptual Structures, 1984, p. 76 as cited in: Jacques Demongeot (1988) Artificial intelligence and cognitive sciences. p. 179

“Taxonomy is a Greek word which means an arrangement based on any kind of law or principle.”

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John F. Sowa

Sowa (1992) cited in: Raad Al-Asady (1995) Inheritance Theory: An Artificial Intelligence Approach. p. 17

“Conceptual graphs are system of logic based on the existential graphs of Charles Sanders Peirce and the semantic networks of artificial intelligence. The purpose of the system is to express meaning in a form that is logically precise, humanly readable, and computationally tractable. With their direct mapping to language, conceptual graphs can serve as an intermediate language for translating computer-oriented formalisms to and from natural languages. With their graphic representation, they can serve as a readable, but design and specification language.”

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John F. Sowa

Quelle: Conceptual graphs for knowledge representation, 1993, p. 3-51. cited in: Bernhard Ganter, Gerd Stumme, Rudolf Wille (2005) Formal Concept Analysis: Foundations and Applications. p. 87

“To distinguish the meaningful graphs that represent real or possible situations in the external world, certain graphs are declared to be canonical.”

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John F. Sowa

Quelle: Conceptual Structures, 1984, p. 91. cited in: C.J. van Rijsbergen, F. Crestani, M. Lalmas (1998) Information Retrieval: Uncertainty and Logics. p. 59