Semantic Web Course Material

The course was conducted as follows:

Practically all material discussed/presented is available below.

Reading Assignments and Instructor's presentations
1/7/02 1/8/02 A. Sheth, “Changing Focus on Interoperability in Information Systems: From System, Syntax, Structure to Semantics”, in Interoperating Geographic Information Systems.  M. F. Goodchild, M. J. Egenhofer, R. Fegeas, and C. A. Kottman (eds.), Kluwer, Academic Publishers, 1998, pp. 5-30. Presentation used: Mystries of Metadata
1/8/02 1/10/02 Susanne Boll, Wolfgang Klas, and Amit Sheth, Overview on Using Metadata  
to Manage Multimedia Data
. See presentation "Mysteries of Metadata"
1/9/02 1/14/02 Tim Berners-Lee, James Hendler and Ora Lassila, The Semantic Web, A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities, Scientific American, May 2001.
1/11/02 1/14/02 K. Shah and A. Sheth, "InfoHarness: An Information Integration Platform for Managing Distributed, Heterogeneous Information," IEEE Internet Computing, November-December 1999, p. 18-28.
1/16/02 1/21/02 Katherine Adams, "Word Wranglers: Automatic Classification Tools Transform Enterprise Documents from 'Bags of Words' to Knowledge Resources." Intelligent KM, January 2001.
1/16/02 1/21/02 Peter Gietz, Report on automatic classification systems
1/16/02 1/22/02 Chandra Chekuri, Michael Goldwasser, Prabhakar Raghavan, Eli Upfal, "Web Search Using Automatic Classification".
1/22/02 1/24/02 Ontology Development Tutorial by Natasha Noy
1/22/02 1/28/02 Sheth et al. Semantic Content Management for Enterprises and the Web.  See presentations, SCORE-examples, SCORE-overview Score Paper
Student Technology Presentations
C. Ramakrishnan Ontologies 
DB-AI work in schema/ontology integration  
Schema/Ontology Integeration and mapping
David Miller Machine Learning for Automatic Text Classification, Presentation
Junfeng Qu Information Extraction Techniques, Presentation
Ruoyan Zhang Semantic Web Services, Presentation
Helen Howell Ontology Interoperation, Presentation
Bernhard Schueler Reasoning and Inference techniques, Presentation
S. Oundhakar & Abhijit Patil Creation, Maintenance and Use of Large Scale Ontologies, Presentation
Felicia Jones Semantics in the Medical Domain, Presentation
Angela Maduko Semantics In The Legal Domain, Presentation
Review & Discussion of White Papers from NSF/EU Workshop on DB/IS Issues on Semantic Web and Enterprises
Invited Presentations by Experts:
Michael Uschold: Where are the Semantics in the Semantic Web?
Robert Meersman:
Experimenting with a Data-Based Framework for Ontologies
Ramesh Jain:
Experiential Computing
Review/discussion of White Papers from Semantic Web Companies (and demos)
Semantic Web Product White Paper Resource
Helen Howell SemTalk:A RDFS Editor for Visio 2000 ; SemTalk Presentation Slides  
Felicia Jones NeurOK Semantic Techology: White Paper Review 
Angela Maduko Sesame: White Paper  Sesame: Presentation
David Miller WhizBang! Labs,  White Paper 1, White Paper 2, Presentation!
S. Oundhakar Profium - Semantic Information Router (SIR)
Abhijit Patil Bravo by GlobalWisdom
C. Ramakrishnan R-Objects White paper
Bernhard Schueler

Ontoprise Whitepaper: B3 – Semantic B2B Broker Presentation

Junfeng Qu Mohomone: Whitepater1 WhitePaper2 Presentation
Ruoyan Zhang Invention Machine:  White Paper  Presentation 2
Students' Final Project
Helen Howell
David Miller
A Toolkit for Evaluating the Effectiveness of Cross Domain Training and Classification
Final Report, DownLoad/Demonstration
Felicia Jones
Angela Maduko

SPICE! is an ontology driven search tool for  the LSDIS Library.  It allows users to search the publication by author, keyword, date of publication and/or  title.  In addition, the user may also request certain types of documents (i.e, books, journals, articles, etc).  The search query is also forwarded to Citeseer Research Index and DBLP Bibliography sites to retrieve citations matching the user’s search criteria. 

SPICE!  - An Ontology Based Web Application  presentation

S. Oundhakar
Abhijit Patil
Ruoyan Zhang
C. Ramakrishnan  
Bernhard Schueler

RDFBrowser is a tool for browsing RDF-based metadata including extensions like RDFS, OIL, DAML, but without using their special features. RDFBrowser allows for convenient browsing of the RDF-based metadata and for comparisons between files focusing on helping the user find semantic similarities and differences. Keywords: Semantic Web, RDF, graph isomorphism  Final Report: RDFBrowser_FinalReport.pdf   RDFBrowser_FinalReport.doc, Presentation, Prototype Demonstation and Source Code are also available:

Junfeng Qu ODIEI: A way to integrate knowledge based on Ontology. ODIEI is a tool that processes unstructured resource based on the ontology defination and provides information of synergy of web resource driven by ontology.  The application deployes two-layer architecture.  The system mainly consists of marker parsing, knowledge template, information extraction layer, filtering, and onto-web resource extractors. ODIEI provides a trial on ontology serves as a semantic guide for information extraction and integratation. Final Report Presentaion

Assignment/Project log: Some suggestions on writing a paper/assignment.

Number Due Description
1 1/10/02 Briefly review (with pointers to (a) definition/description, and (b) examples/applications) of two metadata standards: (a) Dublin Core, (b) a domain, application or industry specific standard (example, RIXML). Suggested length of the report = no more than 2 pages.
2 1/17/02

Review as well as look for additional documents as needed. Approximate size of the report should be 2 to 3 pages (about 1/2 page for each of the item below).

  • Discuss briefly RDF's role for metadata processing (use bullet list if possible)
  • Discuss briefly two examples of use of RDF including use of RDF for improved searching/resource discovery.
  • Identify an example of RDF annotated resource or Web site (more realistic, the better) and the purpose for that annotation.
  • Identify and briefly discuss a tool (academic/research prototype or commercial product) for manual or automatic RDF annotation for a resource (example: helps you create DC metadata but not in RDF syntax; helps you explore/test/query RDF)
  • Identify and briefly discuss two research projects focusing on RDF applications (example:

Semantic Web Course home, Reading & References, Students

Last update: 08/19/02