Vidal's libraryTitle: | Where Are the Semantics in the Semantic Web? |
Author: | Michael Uschold |
Journal: | AI Magazine |
Volume: | 24 |
Number: | 3 |
Pages: | 25--36 |
Year: | 2003 |
Abstract: | The most widely accepted defining feature of the Semantic Web is machine-usable content. By this definition, the Semantic Web is already manifest in shopping agents that automatically access and use Web content to find the lowest air fares, or book prices. But where are the semantics? Most people regard the Semantic Web as a vision, not a reality so shopping agents should not count . To use Web content, machines need to know what to do when they encounter it. This in turn, requires the machine to know what the content means (i.e. its semantics). The challenge of developing the Semantic Web is how to put this knowledge into the machine. The manner in which this is done is at the heart of the confusion about the Semantic Web. The goal of this paper is to clear up some of this confusion. We proceed by describing a variety of meanings of the term semantics , noting various things that can be said to have semantics of various kinds. We introduce a semantic continuum ranging from implicit semantics, which are only in the heads of the people who use the terms, to formal semantics for machine processing. We list some core requirements for enabling machines to use Web content, and we consider various issues such as hardwiring, agreements, clarity of semantics specifications, and public declarations of semantics. In light of these requirements and issues in conjunction with our semantic continuum, it is useful to collectively regard shopping agents as a degenerate case of the Semantic Web. Shopping agents work in the complete absence of any explicit account of the semantics of Web content because the meaning of the Web content that the agents are expected to encounter can be determined by the human programmers who hardwire it into the Web application software. |
Cited by 63 - Google Scholar
@Article{uschold03a,
author = {Michael Uschold},
title = {Where Are the Semantics in the Semantic Web?},
googleid = {LJich9j_DVIJ:scholar.google.com/},
journal = {{AI} Magazine},
year = 2003,
volume = 24,
number = 3,
pages = {25--36},
abstract = {The most widely accepted defining feature of the
Semantic Web is machine-usable content. By this
definition, the Semantic Web is already manifest in
shopping agents that automatically access and use
Web content to find the lowest air fares, or book
prices. But where are the semantics? Most people
regard the Semantic Web as a vision, not a reality
so shopping agents should not count . To use Web
content, machines need to know what to do when they
encounter it. This in turn, requires the machine to
know what the content means (i.e. its
semantics). The challenge of developing the Semantic
Web is how to put this knowledge into the
machine. The manner in which this is done is at the
heart of the confusion about the Semantic Web. The
goal of this paper is to clear up some of this
confusion. We proceed by describing a variety of
meanings of the term semantics , noting various
things that can be said to have semantics of various
kinds. We introduce a semantic continuum ranging
from implicit semantics, which are only in the heads
of the people who use the terms, to formal semantics
for machine processing. We list some core
requirements for enabling machines to use Web
content, and we consider various issues such as
hardwiring, agreements, clarity of semantics
specifications, and public declarations of
semantics. In light of these requirements and issues
in conjunction with our semantic continuum, it is
useful to collectively regard shopping agents as a
degenerate case of the Semantic Web. Shopping agents
work in the complete absence of any explicit account
of the semantics of Web content because the meaning
of the Web content that the agents are expected to
encounter can be determined by the human programmers
who hardwire it into the Web application software.},
keywords = {sweb},
url = {http://jmvidal.cse.sc.edu/library/uschold03a.pdf},
cluster = {5912663191260534828}
}
Last modified: Wed Mar 9 10:15:55 EST 2011