The research track is the core and technical anchor of the ISWC conference series, whose goal is presentation of novel and innovative research that demonstrates new trends or addresses scientific challenges for the Semantic Web. Traditionally, this track has included papers addressing logic-based or statistical reasoning on the web of data, new approaches in distributed computing, web engineering, information systems, natural language processing and artificial intelligence, as well as successful results in new application areas, and solutions for the presentation of and interaction with the web of data.

The ISWC 2011 research track solicits the submission of original research papers dealing with analytical, theoretical, empirical, and practical aspects of all areas of Semantic Web research. Papers in the research track are expected to clearly present their contribution and to provide some principled means of evaluation. We especially encourage papers that ensure the repeatability of their experiments and share with the community their data and test harnesses.

To maintain the high level of quality and impact of the ISWC series all papers will be reviewed by three program committee members and one vice chair of the program committee. To assess papers, reviewers will judge their originality and significance for further research or practice related to the Semantic Web, as well as the technical soundness of the proposed approaches and the overall readability of the submitted papers. Specific attention will be given to the evaluation of the approaches described in the papers. We strongly encourage evaluations that are repeatable. Depending on the type of the paper and the proposed approach, indications for repeatability may vary: papers describing work with an empirical basis may want to provide web access to training/test data, experimental results, or supporting movies (as supplementary data); papers describing case studies may link to case study journals for deeper insights; papers describing systems may provide download of the software or a Web client together with full assessments in user studies; papers describing new algorithms may want to provide the algorithm in source code and in an easy-to-install manner.