In recent years we observe growing availability of structured information on the Web. While significant part of it is in a human readable form,
not adapted for automated processing (HTML, AJAX, Flash, Deep Web, Web applications), more machine-processable information enters the Web thanks
to complementary top-down and bottom-up tendencies.
Bottom-up tendencies are related to publication of structured information in a machine-processable form (e.g. in XML, RDF, JSON). It also covers
annotation of unstructured content with meta-data (e.g. microformats, RDFa, SIOC, MPEG-7). Top-down approaches are related to algorithmically
structuring unstructured information. They combine different methods of Web mining, information extraction, classification, categorisation, automated
linking and named entities recognition. Moreover, phenomena combining these tendencies, such as social annotation of resources, are widely
present in today’s Web.
More structured information on the Web enables information integration using shared vocabularies (linked data approach), data mashups
(domain-specific integration), and automated algorithmic information integration (schemas matching, dataspaces, lexical techniques). In parallel,
popularization of mashup, data monitoring and social data sharing techniques, enable easier information reuse and growing number of intelligent
services combing various dynamic information sources, algorithms and explicit or implicit users input.
The ESIW 2009 workshop will adopt a multidisciplinary approach to current tendencies in exploiting structured information on the Web. The workshop
will provide an informal and vibrant forum for researchers and industry practitioners to share their research results and practical development
experiences.
The topics of the workshop will include, but will not be limited to:
Federated and inter-organizational Web applications
Models and query languages for Web data
Hidden Web resource discovery, retrieval and integration
Warehousing Web data
Provenance of Web data
Web wrappers
Information extraction
Managing uncertainty in Web-based data
Methods for integrating and federating (Data) Web data
Novel applications that exploit structured data sources on the Web
Data integration and data cleaning
Lessons learned from application of Microformats, JSON, RESTful services
Innovative approaches to data mashups
Structured information flows on the Web and Web-based information ecosystems
Linked data
Reasoning with incompletely specified structures
Multimedia metadata / annotation schemes and methods
Mining users and organizations profile from Web data
The proceedings of WISE 2009 workshops will be published by Springer in its Lecture Notes in Computer Science series. Paper length is 8 pages.
For formatting guidelines and submission instructions please consult the Paper Submission page.
Dominik Flejter
e-mail: D.Flejter@kie.ue.poznan.pl
phone: +48 (61) 854-36-90
fax: +48 (61) 854-36-33
Dominik Flejter, Department of Information Systems, Poznan University of Economics, Poland
Tomasz Kaczmarek, Department of Information Systems, Poznan University of Economics, Poland
Marek Kowalkiewicz, SAP Research Brisbane, Australia
Manuel Alvarez, University of A Coruna, Spain
Michael K. Bergman, Structured Dynamics LLC, USA
John Breslin, DERI, NUI Galway, Ireland
Irene Celino, CEFRIEL - Politecnico di Milano, Italy
Terence Critchlow, Pacific Northwest National Laboratory, USA
Florian Daniel, University of Trento, Italy
Sebastian Dietzold, University of Leipzig, Germany
Pavel Dmitriev, Yahoo!, USA
Francesco Guerra, University of Modena and Reggio Emilia, Italy
Thomas Hornung, Albert-Ludwigs-Universitat Freiburg, Germany
Denis Shestakov, University of Turku, Finland
Celine van Damme, Vrije Universiteit Brussel, Belgium
Yu Zheng, Microsoft Research Asia, China
Emanuele Della Valle, CEFRIEL - Politecnico di Milano, Italy
Event |
Date |
|
|
Author Notification |
June 15, 2009 |
Camera-ready Papers |
June 28, 2009 |
Author registration |
June 28, 2009 |
Workshop |
October 5-7, 2009 |
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