“Binary Knowledge Model”: Specifying, instantiating, and interpreting advanced ontologies

2015

Closed access Metadata (CSL-JSON)
DOI 10.1109/icaict.2015.7338570
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

“Binary Model of Knowledge” (BMK) is the system of concept-oriented languages intended for specifying and interpreting ontologies with their fact bases (instances). BMK is under development at National Research University “MPEI” (Moscow, Russia) and at Institute of Informational and Computational Technologies (Almaty, Kazakhstan). The BMK languages combine the advantages of frame-based object-oriented formalisms with well defined denotative semantics and RDF-like languages. The brief description of BMK is presented.