[ARCHIVE] First International Workshop on Web Service Automated Learning:
Pragmatics, Semantics and Syntax (WebS ALPSS’ 09)

In conjunction with OnTheMove Federated Conferences (OTM'09) 
   

AIMS and SCOPE

The purpose of the workshop WebS ALPSS’ 09, Web Services Automated Learning: Pragmatics, Semantics and Syntax, is to bring together researchers and practitioners from communities interested in the design, deployment and application of novel algorithms and theoretical foundations on the Automated Learning of patterns for discovering, composing, accessing and using Web services.

Web services are the emerging technology to easy the interoperability among programming interfaces over Internet. Beyond the information Web services provide, the goal is do simple the usage and share of information among users and software agents, so stand smooth interoperation. Thus, full interoperability among heterogeneous Web services is the challenge to deal with. The needs to find out access patterns, to learn them, but furthermore, do more agile and robust the usage is the corner stone for the current Internet computing.

In order to take this challenge in, automated learning algorithms being adapted to Web service particularities is the focus of WebS ALPSS’ 09. Methodological approaches, as well as algorithmic solutions based on pragmatics, semantics and syntax for planning, composing, choreographing and orchestrating complex Web services are encouraged.
Actually, we claim for researchers’ contributions from multidisciplinary fields: artificial intelligence, machine learning, multi-agent systems, autonomous agents, computational linguistic, semantic Web, Web service composition. A transversal approach is mandatory in order to overcome the huge challenges in order to provide the flexible but robust solution demanded in industry and commerce.


TOPICS of INTEREST

Topics welcomed at the workshop include, but are not limited to:

  • Automated Learning techniques based on:
    • Neural networks
    • Support vector machines
    • Genetic algorithms
    • Evolutionary programming.
  • Theoretical foundation, algorithmic setting and/or metrics for Web services interoperability regarding:
    • Composition
    • Orchestration
    • Choreography
    • Substitution.
  • Semantic/pragmatic/syntax for Web Services about:
    • Classification
    • Clustering
    • Mining.
  • Web Services Ontology-based representation for:
    • Classification
    • Clustering
    • Composition. 


SUBMISSION REQUIREMENTS

All submitted papers will be peer evaluated based on originality, significance, technical soundness, and clarity of expression. All submissions must be in English. Submissions should be in PDF format and must not exceed 10 pages. Submissions must be original and must not have been submitted for publication elsewhere. Failure to commit to presentation at the conference automatically excludes a paper from the proceedings.

Authors’ instructions: http://www.onthemove-conferences.org/index.php/authors-kit/camreadyws

Paper submission site: http://www.onthemove-conferences.org/index.php/submitpaper/alpsssub
 

LOCATION

The workshop will be held in Vilamoura, Algarve Portugal, 1-6 November, in conjunction with the OTM conference in November 2009. The working language of WebS ALPSS’ 09 will be English.


IMPORTANT DATES

  • Abstracts Submission Deadline:  June 22, 2009   EXTENDED DEADLINE July 2, 2009 - 23:59 CET
  • Paper Submission Deadline: June 29, 2009   EXTENDED DEADLINE July 5, 2009 - 23:59 CET
  • Acceptance Notification: August 05, 2009
  • Camera ready received: August 15, 2009
  • Registration Deadline: August 20, 2009
  • OTM 2009 event: November 1-6, 2009

   
ORGANISATION COMMITTEE

Chair organizer
 
  Dr. Matias Alvarado
  Department of Computer Science
  CINVESTAV, Mexico

Co-organizer
 
  Dra. Maricela Bravo Contreras
  Department of Engineering Science
  University of Oxford, UK


PROGRAM COMMITTEE

Arantza Aldea, University of Oxford Brooks, United Kingdom
Matías Alvarado, CINVESTAV, México
René Bañares, University of Oxford, United Kingdom
Sami Bhiri, National University of Ireland, Ireland
Maricela Bravo, University of Oxford, United Kingdom
Ulises Cortes, Universidad Politecnica de Catalunya, Spain
Andreas HeB, Lycos Europe GmbH, Germany (TBC)
Ian Horrocks, University of Oxford (TBC)
Peep Küngas, University of Tartu, Estonia
Matthias Klusch, Research Center for Artificial Intelligence, Germany
Beatriz Lopez Ibañez, Universidad de Girona, Spain
David Riaño, Rovira i Virgili University, Tarragona, Spain
Carlos Pedrinaci, the Open University, United Kingdom
Christian Sánchez, CINVESTAV, México
David Sánchez, Rovira i Virgili University, Tarragona, Spain
Leonid Sheremetov, Instituto Mexicano del Petroleo, México
Alexander Smirnov, Russian Academy of Sciences, Rusia
Muhammad Younas, Oxford Brookes University, United Kingdom
Hong Zhu, Oxford Brookes University, United Kingdom