| Description: | Natural language understanding has been a persistent challenge to researchers in various computer science fields, in a number of applications ranging from user support systems to entertainment and online teaching. A long term goal of the Artificial Intelligence field is to implement mechanisms that enable computers to emulate human dialogue. The recently developed ALICEbots, virtual agents with underlying AIML scripts, by A.L.I.C.E. foundation, use AIML scripts - a subset of XML - as the underlying pattern database for question answering. Their goal is to enable pattern-based, stimulus-response knowledge content to be served, received and processed over the Web, or offline, in the manner similar to HTML and XML. In this thesis, we describe a system that converts the AIML scripts to Prolog clauses and reuses them as part of a knowledge processor. The inference mechanism developed in this thesis is able to successfully match the input pattern with our clauses database even if words are missing. We also emulate the pattern deduction algorithm of the original logic deduction mechanism. Our rules, compatible with Semantic Web standards, bring structure to the meaningful content of Web pages and support interactive content retrieval using natural language. |
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| Creator(s): | Sun, Guili |
| Creation Date: | August 2003 |
| Partner(s): |
UNT Libraries
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| Collection(s): |
UNT Theses and Dissertations
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| Usage: |
Total Uses: 261
Past 30 days: 12
Yesterday: 0
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| Publisher Info: |
Publisher Name: University of North Texas
Place of Publication: Denton, Texas
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| Description: | Natural language understanding has been a persistent challenge to researchers in various computer science fields, in a number of applications ranging from user support systems to entertainment and online teaching. A long term goal of the Artificial Intelligence field is to implement mechanisms that enable computers to emulate human dialogue. The recently developed ALICEbots, virtual agents with underlying AIML scripts, by A.L.I.C.E. foundation, use AIML scripts - a subset of XML - as the underlying pattern database for question answering. Their goal is to enable pattern-based, stimulus-response knowledge content to be served, received and processed over the Web, or offline, in the manner similar to HTML and XML. In this thesis, we describe a system that converts the AIML scripts to Prolog clauses and reuses them as part of a knowledge processor. The inference mechanism developed in this thesis is able to successfully match the input pattern with our clauses database even if words are missing. We also emulate the pattern deduction algorithm of the original logic deduction mechanism. Our rules, compatible with Semantic Web standards, bring structure to the meaningful content of Web pages and support interactive content retrieval using natural language. |
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| Degree: |
Name:
Master of Science
Level:
Master's
Discipline:
Computer Science
Department:
Department of Computer Science
Grantor:
University of North Texas
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| Keyword(s): | XML | agent | AIML | inference mechanism | prolog | AI | semantic web | Java | client server architecture | |
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| Partner: |
UNT Libraries
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| Collection: |
UNT Theses and Dissertations
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| Resource Type: | Thesis or Dissertation | |
| Format: | Text | |
| Rights: |
Access:
Public
License:
Copyright
Holder:
Sun, Guili
Statement:
Copyright is held by the author, unless otherwise noted. All rights reserved.
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