www 2009 Madrid

General CFP
| Data Mining | Industrial Practice and Experience | Internet Monetization |
Performance, Scalability and Availability | Rich Media | Search | Security and Privacy |
| Semantic / Data Web | Social Networks and Web 2.0 | User Interfaces and Mobile Web |
|Web Engineering | WWW in Ibero-America | XML and Web Data |

| Developers Track | Panels | Posters | Tutorials | Workshops |


Semantic / Data Web

The Web is a global information space consisting of linked documents and linked data. The crux of the Semantic/Data Web vision is to unlock the power of information available on the Web and to make it available for sharing and processing by automated tools as well as by people. Information on the Web is available on the Web in many formats and in different types of sources. The publication of large datasets to the web, and the encoding of the semantics of the data and data access, will extend the current human-centric Web. We envision a Semantic/Data Web where it is possible to: automatically integrate data from different sources; establish links between data and to find new ones; query the Web, or parts of it, in order to determine answers that could not have been produced by single sources on their own. Ultimately it will enable machine agents to understand information that could otherwise have only been processable by means of statistics alone.

We solicit contributions to the foundations of the Semantic / Data Web as well as those that demonstrate how structured data technologies can be exploited on the Web. In particular we welcome papers that:

  • show how technologies for transmitting and manipulating structured data add value to the Web.
  • present new structured data technologies, or novel applications of existing approaches that provide new levels of Web functionality.
  • address the role of communities for aggregating structured data on the Web, in particular how community effects on the web can be exploited to generate semantics.
  • demonstrate how emerging web trends such as wikis, folksonomies and social software can be enriched with explicit semantics.

Suggested topics include but are not limited to:

  • Querying and searching the Semantic/Data Web, including combinations with statistics, soft computing and distributed approaches
  • Methods for integrating and federating Data Web data
  • Semantic annotation and metadata, in particular automated approaches
  • Community and social mechanisms for the definition of semantics of data, and metadata and ontology creation
  • Ontologies and representation languages
  • Provenance, trust & security
  • Re-purposing of data, information, and multimedia using semantics
  • Applications of Semantic Web formats for enterprises, learning and science
  • Other novel applications that exploit structured data sources on the Web
  • Blogs, wikis, browsers, crawlers, harvesters, search engines and other applications that produce and consume the Semantic/Data Web

As well as papers arising directly from Semantic Web research, we also welcome contributions from related disciplines which may contribute to the success of the Semantic Web, including Databases, Digital Libraries, Open repositories, Natural Language Processing, Human-Computer Interaction, Machine Learning, Information Retrieval, Distributed Systems, and others.

Submissions should describe original, previously unpublished, high quality, innovative work, making significant and preferably not only theoretical, contributions to the overall design of the Semantic Web, Semantic Web systems design and application experience. However, papers will only be successful if they meet certain criteria

  • They must have a clear link to semantics
  • All papers must ascribe to recognised standards of scholarship: clear positioning, literature review, evaluation
  • Applications must have clear evaluation or lesson learned description.
  • We strongly encourage evaluations that are repeatable. Depending on the type of the paper and the proposed approach indications for repeatability may vary. Very often a URL pointing to an extensive technical support will be helpful to give full proofs of theorems or offer insights into the log book of an experiment or a case study. Such a technical report may explain empirical data or user studies in detail and offer the data for download. System papers may provide download of easy-to-install software or a Web client.

Paper formatting requirements are provided on the Submission page.

Track chairs

  • Ramanathan Guha, Google Inc. , USA
  • Steffen Staab, Koblenz University, Germany 

Program Committee

  • Karl Aberer (EPFL Lausanne, Switzerland)
  • Harith Alani (Univ. Southampton, UK)
  • Chutiporn Anutaria (Shinawatra Uni, Thailand)
  • Wolf-Tilo Balke (Univ. Hannover, Germany)
  • Roberto Basili (Univ. Roma II, Italy)
  • Abraham Bernstein (Univ. Zürich, Switzerland)
  • Christian Bizer (Free University Berlin, Germany)
  • Christoph Bussler (Merced Systems, USA)
  • Philipp Cimiano (TU Delft, Netherlands)
  • Oscar Corcho (UPM, Spain)
  • Isabel Cruz (Univ. Illinois, USA)
  • David DeRoure (Univ. Southampton, UK)
  • John Domingue (Open University, UK)
  • Marlon Dumas (Univ. of Tartu, Estonia)
  • Thomas Eiter (TU Vienna, Austria)
  • Jerome Euzenat (INRIA Grenoble, France)
  • Tim Finin (Univ Maryland, USA)
  • Gerhard Friedrich (Univ Klagenfurt, Austria)
  • Chiara Ghidini (FBK Trento, Italy)
  • Fausto Giunchiglia (Univ. Trento, Italy)
  • Carole Goble (Univ. of Manchester, UK)
  • Claudio Gutierrez (Univ Chile, Chile)
  • Lynda Hardman (CWI, Netherlands)
  • Manfred Hauswirth (DERI, Ireland)
  • Jeff Heflin (Le High University, USA)
  • Ian Horrocks (Oxford University, UK)
  • Jane Hunter (Univ. of Queensland, Australia)
  • David Huynh (IBM, USA)
  • Eero Hyvönen (Helsinki University of Technolog, Finland)
  • Lalana Kagal (MIT, USA)
  • David Karger (MIT, USA)
  • Jihie Kim (Univ Southern California, USA)
  • Mathias Klusch (DFKI, Germany)
  • Peter Mika (Yahoo! Research, Barcelona, Spain)
  • Riichiro Mizoguchi (Osaka University, Japan)
  • Dunja Mladenic (JSI, Ljubljana, Slovenia)
  • Ralf Moeller (TU Hamburg, Germany)
  • Boris Motik (Oxford University, UK)
  • Natasha Noy (Stanford University, USA)
  • Jeff Pan (Univ. Aberdeen, UK)
  • Axel Polleres (DERI, Ireland)
  • Marta Sabou (Open University, UK)
  • Marco Schorlemmer (CSIC, Spain)
  • Guus Schreiber (Free University Amsterdam, Netherlands)
  • Daniel Schwabe (Catholic University in Rio de Janeiro, Brazil)
  • Amit Sheth (Wright University, USA)
  • Wolf Siberski (Univ. Hannover, Germany)
  • Munindar Singh (North Carolina State University, USA)
  • Heiner Stuckenschmidt (University Mannheim, Germany)
  • York Sure (SAP Research, Germany)
  • Yong Yu (Shanghai Jiao Tong University, China)