Research activities in database management and information retrieval at University of Illinois at Chicago

Today, millions of people employ powerful search engines such as Google to retrieve information from the Web on a daily basis. In spite of the success, there are problems associated with such powerful search engines. First, the number of pages which are captured by a single search engine is a few billion, while it has been reported that the entire Web has about 500 billion pages and is rapidly growing. Thus, the coverage of the Web by a single search engine is rather small. Second, an index database has to be built to contain the key information of the captured Web pages. This database is huge and takes substantial amount of time to refresh its contents. Thus, it is not surprising that substantial amount of information in the indexed database can be weeks out-of-date. Third, in order to retrieve information from the large database when there are a large number of queries, enormous hardware resources are needed. It has been reported that Google is utilizing many thousands of computers.

[1]  Isabel F. Cruz,et al.  Implementation of a constraint-based visualization system , 2000, Proceeding 2000 IEEE International Symposium on Visual Languages.

[2]  Ashfaq A. Khokhar,et al.  Content-based indexing and retrieval of audio data using wavelets , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

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[4]  Clement T. Yu,et al.  Multiple evidence combination in image retrieval: Diogenes searches for people on the Web , 2000, SIGIR '00.

[5]  Philip S. Yu,et al.  Partially Supervised Classification of Text Documents , 2002, ICML.

[6]  Bing Liu,et al.  Visualizing web site comparisons , 2002, WWW '02.

[7]  Isabel F. Cruz,et al.  A user interface for distributed multimedia database querying with mediator supported refinement , 1999, Proceedings. IDEAS'99. International Database Engineering and Applications Symposium (Cat. No.PR00265).

[8]  Rashid Ansari,et al.  Predominant pitch contour extraction from audio signals , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

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[10]  Ashfaq A. Khokhar,et al.  Scalable Color Image Indexing and Retrieval Using Vector Wavelets , 2001, IEEE Trans. Knowl. Data Eng..

[11]  Xiaoli Li,et al.  A refinement approach to handling model misfit in text categorization , 2002, KDD.

[12]  Clement T. Yu,et al.  Evaluating strategies and systems for content based indexing of person images on the Web , 2000, ACM Multimedia.

[13]  Ashim Garg,et al.  Drawing Graphs by Example Efficiently: Trees and Planar Acyclic Digraphs , 1994, GD.

[14]  Isabel F. Cruz,et al.  DOODLE: a visual language for object-oriented databases , 1992, SIGMOD '92.

[15]  A. Prasad Sistla,et al.  Minimization of Communication Cost Through Caching in Mobile Environments , 1998, IEEE Trans. Parallel Distributed Syst..

[16]  Ouri Wolfson,et al.  Moving Objects Information Management: The Database Challenge , 2002, NGITS.

[17]  Wynne Hsu,et al.  Integrating Classification and Association Rule Mining , 1998, KDD.

[18]  Isabel F. Cruz,et al.  Object Interoperability for Geospatial Applications : A Case Study ∗ , 2002 .