Abstract

The Semantic Web will be an enabling technology for the future because as all of life's components continue to progress and evolve, the demand on us as humans will continue to increase. Work will expect more productivity; family will demand more quality time, and even leisure activities will be technologically advanced. With these variables in mind, I believe humans will demand technologies that help to simplify this treacherous lifestyle. As patterns already indicate, one of the driving forces of technological development is efficiency. Developers are consistently looking for ways to make life's demands less strenuous and more streamlined. The benefits of the semantic web are two-fold. Conceptually, it will enable us to be productive at home while at work, and productive at work while at home. The Semantic Web will be a technology that truly changes our lifestyle. The Web has yet to harness its full potential. We have yet to realize that in addition to computers, other machines can actually participate in the decision-making process via the Internet. This will allow virtually all devices the opportunity to be a helpful resource for humans via the Web. It must be taken into consideration that the Semantic Web will not be separate from the World Wide Web, but an extension of it. It will allow information to be given a well-defined meaning, which will allow computers and people to work in cooperation. With this technology, humans will be able to establish connections to machines that are not currently connected to the World Wide Web. "For the Semantic Web to function, computers must have access to structured collections of information and sets of inference rules that they can use to conduct automated reasoning" (Scientific American: Feature Article: The Semantic Web, 3). Using rules to make inferences, choosing a course of action, and answering questions will add functional logic to the Web. Currently the Semantic Web community is developing this new Web by using Extensible Markup Language (XML) and Resource Description Framework (RDF) and ultimately, Ontologies.

Library of Congress Subject Headings

Semantic Web; XML (Document markup language); RDF (Document markup language); Uniform Resource Identifiers

Publication Date

2004

Document Type

Thesis

Student Type

Graduate

Degree Name

Information Sciences and Technologies (MS)

Department, Program, or Center

Information Sciences and Technologies (GCCIS)

Advisor

Daniel Kennedy

Advisor/Committee Member

Michael Axelrod

Advisor/Committee Member

Dianne Bills

Comments

Physical copy available from RIT's Wallace Library at TK5105.88815 .R23 2004

Campus

RIT – Main Campus

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