Good science periodically revisits old results in the context of new discoveries and technologies. In this way, new understanding
is gained of the earlier results and, sometimes, new insights can be gained into current work. This in turn can lead to newdiscoveries, and so the process continues. In this paper, we revisit the generalization known as the “knowledge principle,”introduced more than twenty years ago to explain the source of power of expert systems. We show that in a new context, thepower of knowledge will come from the distribution and decentralization of knowledge that is ubiquitously developed and applied.In the new semantic web concept, tools are provided to the large population of WWW users that allow those individuals (perhapsmillions of them) to encode small bodies of knowledge that can be integrated into an effective large knowledge base. The metaphorof “knowledge is power” thus changes from one of the centralized power to one of distributed power.
%0 Journal Article
%1 keyhere
%A Hendler, James
%A Feigenbaum, Edward
%D 2001
%J Web Intelligence: Research and Development
%K diplomarbeit semanticweb
%P 18--29
%T Knowledge is Power: The Semantic Web Vision
%U http://dx.doi.org/10.1007/3-540-45490-X_2
%X Good science periodically revisits old results in the context of new discoveries and technologies. In this way, new understanding
is gained of the earlier results and, sometimes, new insights can be gained into current work. This in turn can lead to newdiscoveries, and so the process continues. In this paper, we revisit the generalization known as the “knowledge principle,”introduced more than twenty years ago to explain the source of power of expert systems. We show that in a new context, thepower of knowledge will come from the distribution and decentralization of knowledge that is ubiquitously developed and applied.In the new semantic web concept, tools are provided to the large population of WWW users that allow those individuals (perhapsmillions of them) to encode small bodies of knowledge that can be integrated into an effective large knowledge base. The metaphorof “knowledge is power” thus changes from one of the centralized power to one of distributed power.
@article{keyhere,
abstract = {Good science periodically revisits old results in the context of new discoveries and technologies. In this way, new understanding
is gained of the earlier results and, sometimes, new insights can be gained into current work. This in turn can lead to newdiscoveries, and so the process continues. In this paper, we revisit the generalization known as the “knowledge principle,”introduced more than twenty years ago to explain the source of power of expert systems. We show that in a new context, thepower of knowledge will come from the distribution and decentralization of knowledge that is ubiquitously developed and applied.In the new semantic web concept, tools are provided to the large population of WWW users that allow those individuals (perhapsmillions of them) to encode small bodies of knowledge that can be integrated into an effective large knowledge base. The metaphorof “knowledge is power” thus changes from one of the centralized power to one of distributed power.},
added-at = {2009-03-09T23:32:34.000+0100},
author = {Hendler, James and Feigenbaum, Edward},
biburl = {https://www.bibsonomy.org/bibtex/2fad3a3991d4d30edca9bd3f4a464f3bf/dominikb1888},
description = {SpringerLink - Book Chapter},
interhash = {f68c65c7856ca504487d563620557748},
intrahash = {fad3a3991d4d30edca9bd3f4a464f3bf},
journal = {Web Intelligence: Research and Development},
keywords = {diplomarbeit semanticweb},
pages = {18--29},
timestamp = {2010-12-09T12:52:02.000+0100},
title = {Knowledge is Power: The Semantic Web Vision},
url = {http://dx.doi.org/10.1007/3-540-45490-X_2},
year = 2001
}