The Self-organized Web: The Yin to the Semantic Web's Yang

Gary William Flake; David M. Pennock; Daniel C. Fain

The Self-organized Web: The Yin to the Semantic Web's Yang

Gary William Flake, David M. Pennock, Daniel C. Fain

Research output: Contribution to journal › Review article › peer-review

Abstract

A review on the self-organized and semantic web was presented. The users benefit most if work on creating the semantic web coevolves with work on tools for data-driven analysis of the self-organized web. Linear algebra shows that the power method converges at a rate related to the ratio of the first two eigenvalues of the matrix used.

Original language	English (US)
Pages (from-to)	75-77+85
Journal	IEEE Intelligent Systems
Volume	18
Issue number	4
State	Published - 2003
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Artificial Intelligence

Cite this

@article{f8d8f40626dc4358871feda3965e79d3,

title = "The Self-organized Web: The Yin to the Semantic Web's Yang",

abstract = "A review on the self-organized and semantic web was presented. The users benefit most if work on creating the semantic web coevolves with work on tools for data-driven analysis of the self-organized web. Linear algebra shows that the power method converges at a rate related to the ratio of the first two eigenvalues of the matrix used.",

author = "{William Flake}, Gary and Pennock, {David M.} and Fain, {Daniel C.}",

year = "2003",

language = "English (US)",

volume = "18",

pages = "75--77+85",

journal = "IEEE Expert",

issn = "1541-1672",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - The Self-organized Web

T2 - The Yin to the Semantic Web's Yang

AU - William Flake, Gary

AU - Pennock, David M.

AU - Fain, Daniel C.

PY - 2003

Y1 - 2003

N2 - A review on the self-organized and semantic web was presented. The users benefit most if work on creating the semantic web coevolves with work on tools for data-driven analysis of the self-organized web. Linear algebra shows that the power method converges at a rate related to the ratio of the first two eigenvalues of the matrix used.

AB - A review on the self-organized and semantic web was presented. The users benefit most if work on creating the semantic web coevolves with work on tools for data-driven analysis of the self-organized web. Linear algebra shows that the power method converges at a rate related to the ratio of the first two eigenvalues of the matrix used.

UR - http://www.scopus.com/inward/record.url?scp=20244369533&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=20244369533&partnerID=8YFLogxK

M3 - Review article

AN - SCOPUS:20244369533

SN - 1541-1672

VL - 18

SP - 75-77+85

JO - IEEE Expert

JF - IEEE Expert

IS - 4

ER -

The Self-organized Web: The Yin to the Semantic Web's Yang

Abstract

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this