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Call for papers
The emergence of the Internet has brewed the revolution of information storage and retrieval. The web was initially designed for direct human processing. With its current structure, machine-based approaches to web applications are not possible unless its content is transformed into a machine-readable format encoding semantic information. Ontologies are the backbone technology for the Semantic Web by providing machine-processable semantics of data and information sources that can be communicated between different agents. The Semantic Web goes beyond the simple bag-of-words approach used by most search engines and get closer to the meaning of the texts. Semantic Web initiatives have met with growing enthusiasm of researchers and developers world-wide, both in academia and in industry, which encourages the integration of efforts that have been ongoing from different disciplines, involving specialists in Information Retrieval, Natural Language Processing, Information Extraction, Knowledge Representation, Artificial Intelligence and Database. These efforts are aimed at capturing the semantics of digital content of all sorts and origins, and making current Web to be easily accessed and precisely retrieved.

Information retrieval can benefit from building ontologies and other semantic structures, making it possible to have a better understanding of the application domains and the user queries. On the other hand, the Information Retrieval field has a lot to bring
to the Semantic Web community, based on 30 years of research and development of large-scale retrieval system and their evaluation. This workshop aims to bring researchers from the two communities together, to facilitate a discussion and to consult each other on common problems.

This is the 2nd edition of the workshop. The first one was held in Toronto, Canada, in conjunction with SIGIR2003, and turned out to be very successful.
 
Topics of interest may include (but not limited to):
•Ontology-based Information Retrieval or Semantic Information Retrieval
•Metadata in Information Retrieval
•Ontology Learning based on Information Extraction and Natural Language Processing Technologies
•Automatic Indexing and Cataloguing
•Information Retrieval and Web Services
•Languages, Tools and Methodologies for Semantic Annotations
•Knowledge Portals
•Semantic Web Mining
•Semantic Web Searching and Querying
•Semantic Web for Multimedia Retrieval
•Semantic Web for Multilingual Information Retrieval
•Semantic Web for Digital Library
•Semantic Interoperability and Integration
•Semantic Web and Peer-to-Peer
•Semantic Web for Information Visualization
•Peer-to-Peer for Information Retrieval
•User studies for Semantic Web
•Business applications and best of practice