Access Type
Open Access Dissertation
Date of Award
January 2016
Degree Type
Dissertation
Degree Name
Ph.D.
Department
Computer Science
First Advisor
Zaki Malik
Abstract
The need to find, access and extract information has been the motivation for many
different fields of research in the past few years. The fields such as Machine Learning,
Question Answering Systems, Semantic Web, etc. each tries to cover parts of the
mentioned problem. Each of these fields have introduced many different tools and
approaches which in many cases are multi-disciplinary, covering more than one of
these fields to provide solution for one or more of them. On the other hand, the
expansion of the Web with Web 2.0, gave researchers many new tools to extend
approaches to help users extract and find information faster and easier. Currently,
the size of e-commerce and online shopping, the extended use of search engines for
different purposes and the amount of collaboration for creating content on the Web
provides us with different possibilities and challenges which we address some of them
here.
Recommended Citation
Najmi, Erfan, "Improving User Experience In Information Retrieval Using Semantic Web And Other Technologies" (2016). Wayne State University Dissertations. 1654.
https://digitalcommons.wayne.edu/oa_dissertations/1654