CE2003: Invited Session on Machine Learning, User Modelling, e-Commerce, Knowledge Management

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2nd CALL FOR PAPERS

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ISPE/CE2003 Conference and Exhibition
10th ISPE INTERNATIONAL CONFERENCE ON
CONCURRENT ENGINEERING: RESEARCH AND APPLICATIONS

Carlton Madeira Hotel - Madeira Island, Portugal

26 - 30 JULY, 2003

http://isg.uninova.pt/ce2003/

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Invited Session on

Machine Learning, User Modelling, e-Commerce, Knowledge Management

http://lacam.di.uniba.it:8000/~ce2003/
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CALL FOR PAPERS

The basic tenet of Concurrent Engineering is the integration of methodologies, 
processors, human beings, tools, and methods to support product development. 
Concurrent Engineering is multi-disciplinary in that it includes aspects from 
object-oriented programming, constraint programming, visual programming, 
knowledge-based systems, hypermedia, database management systems, and CAD/CAM. 
Concurrent engineering involves the interaction of diverse group of individuals 
who may be scattered over a wide geographic range. To enable effective and 
complete communication among them, there are certain technological concepts 
that must also become organized into concurrent layers. Distributed information 
sharing and collaborative/cooperative work are important techniques to maintain 
or exceed the current level of software development productivity. Concurrent 
engineering takes advantage of shared information and allows simultaneous focus 
on different phases of the software development life cycle. Many existing 
WorldWide Web (WWW) capabilities could support a wide area Concurrent 
Engineering environment. 
Concurrent Enterprise is the co-operation among Companies geographically 
dispersed, harmonizing their processes and involving Customers and Suppliers to 
a unique business goal. Concurrent Enterprising conjugates the concept of 
Virtual Enterprise and the Concurrent Engineering approach into a new business 
paradigm. A Virtual Enterprise is a distributed, temporary alliance of 
independent, co-operating Companies in the design and manufacturing of products 
and services. Such a complex organization leads to an increasing number of 
on-line data and the widespread use of databases that necessitates the 
development of techniques for efficiently support users in order to facilitate 
and improve searching among huge repositories. The objective of the session is 
to bring together researchers and practitioners to discuss research issues and 
experience in developing and deploying personalized tools for the intelligent 
management of documents and knowledge collected in an enterprise.

The personalization issue concerns tools and techniques to extract, from the 
interaction with users, their preferences and information needs, and to process 
them in order to build users' models. 
Machine Learning techniques, that extract permanent features of a given user 
from the dialogue, represent a very promising solution: i) they have been 
successful in cases where large data sets were available by providing tools for 
retrieval and filtering of useful information; ii) they have been applied to 
the definition of models of users interacting with an information system. 

The Web market potential led to a fast increase of e-commerce Web sites and Web 
enterprises. The virtual market inherited, and often made worse, typical 
problems like customer acquisition, customer loyalty, tailoring of products, 
etc. On the other hand, the market on the Web took advantage of the IT 
advances. The main challenge, today, consists of provide Web customers with 
tools, techniques and services able to mimic the typical scenarios of the 
physical market, overcoming some of usual drawbacks. Machine Learning 
techniques have been successfully applied to the e-Commerce domain providing i) 
automated tools for product recommendation; ii) intelligent virtual clerks able 
to converse with users in natural language; iii) intelligent agents able to 
mediate the buying/selling process with other agents.

Document and Knowledge Management poses new issues that can be effectively 
tackled by applying  artificial intelligence techniques and machine learning 
methods in order to devise new tools, which improve the accessibility to the 
information available on the Web.
Learning is particularly useful to automate those tasks in document processing 
in which it is quite easy to collect examples while coding a set of explicit 
rules is impractical.
Moreover, learning-based search tools can feature a very high precision in 
retrieving information and can reduce the need for human efforts for many 
repetitive tasks (like organizing documents in directories).

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SCOPE

The scope of the session is formed of, but not limited to, the following topics:

Machine Learning for User Modeling
* ML solutions to support to the browsing of repositories
* ML solutions to support to the navigation of Web sites
* ML for extraction and management of user profiles
* ML for building user communities based on common interests, and background
* Intelligent agents in charge of managing the interaction
* Evaluation of adaptive user interfaces
* Personalization of Web sites
* Personalization for Web users
* Adaptive and multi-modal user interfaces
* Session Modeling and click-stream analysis
* Measuring personalization effectiveness
* Temporal Modeling, Concept Drift

Machine Learning for e-Commerce
* Intelligent online negotiations and auctions
* Intelligent online product selection and customization
* Intelligent online sales support
* Advertising over Internet
* Intelligent online fraud detection and avoidance
* Customer categorization
* Intelligent online storage, retrieval, and adaptation of information
* Intelligent/online marketing
* Customer relationship management
* Applications and evaluations
* Future trends
* Modelling decision making in e-commerce systems
* Web mining
* Content management and modelling
* Collaborative and content based filtering
* Cooperative query answering
* Pro-active recommendation
* Comparison and explanation
* Web architectures for recommendation systems
* Hybrid Recommendation Systems

Machine Learning for DM/KM
* Application of knowledge representation techniques to semantic modeling 
* Development and management of heterogeneous knowledge bases 
* Automatic acquisition of data and knowledge bases (especially raw text) 
* Object-oriented DBMS 
* Performance evaluation 
* Data and knowledge sharing 
* Interchange and interoperability 
* Cooperation in heterogeneous systems 
* Domain modeling and ontology-building 
* Knowledge discovery in databases 
* Information storage and retrieval and interface technology 
* Digital Libraries 
* Multimedia Databases

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SUBMISSIONS AND PUBLICATION

Only full paper submissions will be accepted to CE2003, subject to the 
international scientific rules for review. Only electronic submissions will be 
accepted to the session. Please submit the PDF version of your manuscript to

fabio-ObTH0EaCLLQ1GQ1Ptb7lUw@xxxxxxxxxxxxxxxx

For questions regarding the individual sessions please contact the session 
chairs.

Proceedings will be published as an ISBN numbered book with accompanying CD by 
A.A. Balkema Publishers and will be printed before the conference to be 
distributed to the attendants.

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REVIEW

Submitted papers will be reviewed by at least three members of the conference 
program committee or the session committee and selected on the basis of their 
relevance, originality and scientific quality.

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AUTHOR GUIDELINE

Papers should include: Title, name(s) and affiliations(s) of authors, an 
abstract of no more than 200 words, a set of relevant keywords, resulting in a 
manuscript of six to eight A4-size pages together with figures and references. 
Please also include an additional cover sheet containing name, address, 
telephone, FAX numbers, and e-mail address of the person to whom correspondence 
regarding the paper should be addressed.

Formatting guidelines may be downloaded from
http://isg.uninova.pt/ce2003/instrution_to_authors.htm


IMPORTANT DATES

March 15, 2003     Deadline to submit full papers.
March 24, 2003       Notification of paper acceptance mailed.
April 14, 2003       Deadline for final camera ready full paper.
April 21, 2003       Notification of final acceptance. Preliminary program 
posted.
April 25, 2003       Deadline for payment of early registration fee.


ORGANIZATION

Chair:   Floriana Esposito, University of Bari, Italy
  esposito-ObTH0EaCLLQ1GQ1Ptb7lUw@xxxxxxxxxxxxxxxx

Co-chair:    Giovanni Semeraro, University of Bari, Italy
  semeraro-ObTH0EaCLLQ1GQ1Ptb7lUw@xxxxxxxxxxxxxxxx


PROGRAMME COMMITTEE
======================
(List not completed yet)
Fabio Abbattista, University of Bari, Italy
Paolo Avesani, ITC/IRST, Italy
Hendrik Blockeel, Katholieke Universiteit Leuven, Belgium
Floriana Esposito, University of Bari, Italy
Matjaz Gams, Jozef Stefan Institute, Slovenia
Nico Jacobs, University of Leuven, Belgium
Martin Mueller, University of Augsburg, Germany
George Paliouras, NCSR "Demokritos", Greece
Lorenza Saitta, University of Piemonte Orientale, Italy
Giovanni Semeraro, University of Bari, Italy

The most current list will be announced on the web-site
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