You are invited to participate in the upcoming 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), to be held as part of the 15th International Semantic Web Conference (ISWC) in October of 2016 in Kobe, Japan.

ISWC is a major international forum for presenting visionary research on all aspects of the Semantic Web. The Uncertainty Reasoning Workshop is an exciting opportunity for collaboration and cross-fertilization between the uncertainty reasoning community and the Semantic Web community.

Effective methods for reasoning under uncertainty are vital for realizing many aspects of the Semantic Web vision, but the ability of current-generation web technology to handle uncertainty remains extremely limited. Thus, there is a continuing demand for uncertainty reasoning technology among Semantic Web researchers and developers, and the URSW workshop creates a unique opening to bring together two communities with a clear commonality of interest but limited history of interaction. By capitalizing on this opportunity, URSW could spark dramatic progress toward realizing the Semantic Web vision.

The intended audience for this workshop includes the following:

- Researchers in uncertainty reasoning technologies with interest in Semantic Web / Linked Data and Web related technologies.

- Semantic Web and Linked Data developers and researchers;

- People in the knowledge representation community with interest in the Semantic Web / Linked Data;

- Ontology researchers and ontological engineers;

- Web services researchers and developers with interest in the Semantic Web / Linked Data;

- Developers of tools designed to support Semantic Web and Linked Data implementation, e.g., Jena developers, Protégé and Protégé-OWL developers.

We intend to have an open discussion on any topic relevant to the general subject of uncertainty in the Semantic Web and Linked Data (including fuzzy theory, probability theory, and other approaches). Therefore, the following list should be just an initial guide.

- Syntax and semantics for extensions to Semantic Web / Linked Data languages to enable representation of uncertainty;

- Logical formalisms to support uncertainty in Semantic Web / Linked Data languages;

- Probability theory as a means of assessing the likelihood that terms in different ontologies refer to the same or similar concepts;

- Architectures for applying plausible reasoning to the problem of ontology mapping;

- Using fuzzy approaches to deal with imprecise concepts within ontologies;

- The concept of a probabilistic ontology and its relevance to the Semantic Web / Linked Data;

- Best practices for representing uncertain, incomplete, ambiguous, or controversial information in the Semantic Web and Linked Data;

- The role of uncertainty as it relates to web services and cloud computing;

- Interface protocols with support for uncertainty as a means to improve interoperability among web services;

- Uncertainty reasoning techniques applied to trust issues in the Semantic Web;

- Existing implementations of uncertainty reasoning tools in the context of the Semantic Web and Linked Data;

- Issues and techniques for integrating tools for representing and reasoning with uncertainty;

- The future of uncertainty reasoning for the Semantic Web and Linked Data.