An intelligent voice-driven intranet search engine (AIVDISE)

Aboulkhasam, S. A. (2000). An intelligent voice-driven intranet search engine (AIVDISE). https://scholar.acadiau.ca/islandora/object/theses:2878

Title: An intelligent voice-driven intranet search engine (AIVDISE)
Author: Aboulkhasam, Salaheldin Ali
Call Number: LE3 .A278 2000
Date: 2000
Supervisor: Trudel, Andre
Degree Grantor: Acadia University
Degree Name: Master of Science
Degree Level: Masters
Discipline: Computer Science
Affiliation: Computer Science
Abstract: The volume of website information accumulates rapidly, and thus, search engines are indispensable. The main user demand from the search engine is to efficiently retrieve accurate and relevant results. This thesis presents a new and improved search engine called Intelligent Voice Driven Intranet Search Engine (AIVDISE) which accepts natural language queries. AIVDISE can be used to search a personal or business website, e.g. Acadia's website. As input, AIVDISE can accept both spoken and typed English language sentences. Together with a number of uniquely powerful search engine technologies, AIVDISE can deliver the accuracy people want from their intranet search engine without the need for expert training in search techniques.
Rights: The author retains copyright in this thesis. Any substantial copying or any other actions that exceed fair dealing or other exceptions in the Copyright Act require the permission of the author.
Permanent Link: https://scholar.acadiau.ca/islandora/object/theses:2878

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