Data Mining and Reverse Engineering

1. Front Matter

   Pages i-xvi

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2. Invited Talks

   1. Front Matter

      Pages 1-1

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   2. OLAP Mining: An Integration of OLAP with Data Mining

      • Jiawei Han

      Pages 3-20

   3. Semantic Approaches to Structuring and Querying Web Sites

      • E. Damiani, L. Tanca

      Pages 21-49

   4. Text Mining: Natural Language techniques and Text Mining applications

      • M. Rajman, R. Besançon

      Pages 50-64

3. Data Mining

   1. Front Matter

      Pages 65-65

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   2. Improvements in supervised BRAINNE: A method for symbolic datamining using neural networks

      • T. S. Dillon, T. Hossain, W. Bloomer, M. Witten

      Pages 67-88

   3. CE: The Classifier-Estimator Framework for Data Mining

      • M. M. Dalkilic, E. L. Roberston, D. Van Gucht

      Pages 89-104

   4. An Associative Search Method Based on Symbolic Filtering and Semantic Ordering for Database Systems

      • Naofumi Yoshida, Yasushi Kiyoki, Takashi Kitagawa

      Pages 105-128

4. Reverse Engineering

   1. Front Matter

      Pages 129-129

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   2. Contribution to the Reverse Engineering of OO Applications — Methodology and Case Study

      • J-L. Hainaut, V. Englebert, J-M. Hick, J. Henrard, D. Roland

      Pages 131-161

   3. Searching for semantics in COBOL legacy applications

      • Martin Andersson

      Pages 162-183

   4. The Reengineering of Relational Databases based on Key and Data Correlations

      • Zahir Tari, Omran Bukhres, John Stokes, Slimane Hammoudi

      Pages 184-216

5. Query Languages

   1. Front Matter

      Pages 217-217

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   2. A Formalization of ODMG Queries

      • Holger Riedel, Marc H. Scholl

      Pages 219-247

   3. A metaphorical and visual language for querying an existing relational database

      • Bruno Bélières, Claude Trépied

      Pages 248-266

6. Web Environment

   1. Front Matter

      Pages 267-267

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   2. OFAHIR: “on-the-fly” automatic authoring of hypertexts for information retrieval

      • M. Agosti, L. Benfante, M. Melucci

      Pages 269-300

   3. TopiCA: A Semantic Framework for Landscaping the Information Space in Federated Digital Libraries

      • M. P. Papazoglou, H. Weigand, S. Milliner

      Pages 301-328

   4. Incorporating generalized quantifiers into description logic for representing data source contents

      • S. Y. Tu, S. Madnick

      Pages 329-349

Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon­ strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod­ ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in­ corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.

• data mining
• database
• performance

• Swiss Federal Institute of Technology, Lausanne, Switzerland

  Stefano Spaccapietra

• University of Connecticut, Storrs, USA

  Fred Maryanski

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