Course Description
The application of artificial intelligence methodologies and algorithms to problems involving the world wide web. Introduction to problem-solving, knowledge representation, learning, and reasoning techniques and exploration of how they are applied to enable information provisioning, social networking, and service provisioning on the web.
Additional Requirements for Graduate Students:
Students will be assigned additional problems in the regular
homework assignments. In the exams, they will be assigned
additional questions. The assignments and exams will be graded
more strictly. Students may also be asked to read and summarize a
research paper.
Athena Title
AI AND THE WEB
Undergraduate Pre or Corequisite
CSCI 2720
Semester Course Offered
Not offered on a regular basis.
Grading System
A - F (Traditional)
Course Objectives
The students will learn innovative ways of designing efficient and intelligent Web search engines, personalized Web browsers, and how the Web can be used as the technology infrastructure for enterprises. They will also become aware of AI problem-solving techniques that could be applied elsewhere. This will benefit students interested in pursuing research or a job in Web-related or AI-related areas by providing them with the necessary background.
Topical Outline
• Intelligent information retrieval – Web data mining and clustering, text summarization, and natural language understanding • Intelligent Web interfaces – User modeling and Web personalization • Web knowledge representation – knowledge representation using logic, theorem proving, and trust • Social Networking on the Web • Ontologies – reconciliation and automatic population using machine learning • Web services modeling and automatic composition – modeling using logics, intelligent discovery and negotiation, and automatic composition using planning • Multi-agent frameworks for the web.
Syllabus