Hong, Liangjie > Courses > Fall 08

Courses in which I am enrolled:

CSE 428: Semantic Web Topics

The Internet is on the verge of another revolution. The development of the World Wide Web made the Internet accessible to millions by making it easy for anyone to instantly share information with others around the world. However, the explosive growth of the Web has led to the problem of information overload. Researchers from industry and academia are now exploring the possibility of creating a "Semantic Web," in which meaning is made explicit, allowing machines to process and integrate Web resources intelligently. Beyond enabling quick and accurate web search, this technology may also allow the development of intelligent internet agents and facilitate communication between a multitude of heterogeneous web-accessible devices. In this class, we will examine this exciting area by reading and discussing both existing web specifications and cutting-edge research papers. Topics will include the design of various Semantic Web languages (such as RDF and OWL), the role of ontologies and how to develop them, the knowledge acquisition problem, techniques for scalable reasoning, integrating heterogeneous data sources, web-based agents, and issues in developing semantic-aware applications.

Instructor: Associate Professor Jeff Heflin

Office Hours: TR 11:00 -12:00, 4:00 – 5:00

Textbook: Antoniou, Grigoris and Frank van Harmelen. A Semantic Web Primer, Second Edition. MIT Press, Cambridge, MA, 2008. ISBN 978-0-262-01242-3.

Schedule: TR 4:00 – 5:15PM Packard Lab 208

CSE 375: Hardware & Software Topics in Parallel Computing

Introduction to parallel computing, covering both hardware and software topics such as parallel computing architecture (interconnection networks, SIMD, MIMD, and hybrid parallel architecture) and parallel programming techniques related to message passing and shared memory programming.

Instructor:
Assistant Professor Liang Cheng

Office hours: Tuesday and Thursday from 4 PM to 5 PM, or by appointment

Textbook:
B. Wilkinson and M. Allen, Parallel Programming: Techniques and Applications using Networked Workstations and Parallel Computers, Pearson Prentice Hall, 2nd Edition, 2005

Lecture Schedules:
Tuesday and Thursday mornings: 9:20-10:35 PM in Mohler Lab 110

CSE 450: Graph Mining and Social Networks

Social networks such as Facebook and MySpace have become widely used within the student community.  Recently the corporate world has begun to take a look at these and similar tools such as LinkedIn as ways of recreating the culture of a small, local company in a today's globally distributed corporations.  Effective use of these tools in a corporate setting depends on the ability to exploit the knowledge about corporate expertise and connections within these networks.  Use of such information, however, raises concerns about security and privacy. 

This course will focus on the computer science issues involved in mining and securing the data contained in social networks.  Graph mining is the study of how to extract patters from social networks represented as graphs.  The course will look not only at mining of graphs but also graph generators.  Understanding algorithms that generate realistic graph patterns can help us understand the processes that may have led to the creation of graphs we observe in the real world.

Schedule: Tues, Thurs: 10:45 – 12:00

Information for Hank Korth
Office: PA 350
Office hours: weekdays: 10 – 11, or by appt.
email: hfk@lehigh.edu
IM: hfk2@mac.com (works from AIM)

Information for Roger Nagel
Office: PA 254D
Office hours: TBA
email: rnn0@lehigh.edu