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Information Management Survey 2018: Knowledge Engineering at the Core of Cognitive Applications

by Angela Guess According to a new press release, “The Semantic Web Company, Mekon and Enterprise Knowledge conducted an Information Management Survey for practitioners that provides new insights into the current status of this highly diverse technology field. Knowledge engineering is an integral part of the development process of cognitive applications and artificial intelligence. 67% […]

From Business As Usual to Knowledge-Driven Architecture – Part IV

[Editor’s Note: This week, we welcome Yefim (Jeff) Zhuk of Sallie Mae as he presents a series on Knowledge-Driven Architecture. This series follows up the author’s presentation at the recent international 2011 Semantic Technology Conference San Francisco and further expands on the subject of integrated software and knowledge engineering, originally described by Mr. Zhuk in […]

From Business As Usual to Knowledge-Driven Architecture – Part III

[Editor’s Note: This week, we welcome Yefim “Jeff” Zhuk of Sallie Mae as he presents a series on Knowledge-Driven Architecture. This series follows up the author’s presentation at the recent international 2011 Semantic Technology Conference San Francisco and further expands on the subject of integrated software and knowledge engineering, originally described by Mr. Zhuk in […]

From Business As Usual to Knowledge-Driven Architecture – Part II

[Editor’s Note: This week, we welcome Yefim (Jeff) Zhuk of Sallie Mae as he presents a series on Knowledge-Driven Architecture. This series follows up the author’s presentation at the recent international 2011 Semantic Technology Conference San Francisco and further expands on the subject of integrated software and knowledge engineering, originally described by Mr. Zhuk in […]

Actualizing Future Web Knowledge Distribution

Executive Summary

The future web is expected to evolve into a situation aware web that surfaces the hidden knowledge of enterprises and individuals and enables greatly more powerful paradigms. Actualizing these requirements demands a semantic technology that is magnitudes greater in efficiency and performance than conventional layered technologies.

Why Information Models Matter

Executive Summary

If ontology is going to provide the next generation of intelligent information management, more attention must be given to creating high-fidelity, truly semantic models that are capable of representing not only the electronic media that are used to store the information, music, graphics, etc. that people care about, but are also capable of representing the propositional content and the linguistic characteristics of those media.  The abstract propositional or musical contents of documents or recordings is often quite independent of the media on which it is encoded, or even the language used for the encoding. 

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