Scalable Uncertainty Management

Originally, managinguncertainty and inconsistencyhas especiallybeen explored in the ?eld of arti?cial intelligence. During recent years, particularly with the availabilityofmassiveamountsofdataindi?erentrepositoriesandthepossibility of integrating and exploiting these data, technologies for managing uncertainty andinconsistencyhavestartedtoplayakeyroleindatabasesandtheWeb.Some of the most prominent of these technologies are probably the ranking algorithms behind Web search engines. Techniques for handling uncertainty and incons- tency are expected to play a similarly important role in the Semantic Web. The annual International Conference on Scalable Uncertainty Management (SUM) hasgrownout ofthisverylargeinterestonmanaginguncertaintyand- consistency in databases, the Web, the Semantic Web, and arti?cial intelligence. Theconferenceaimsat bringingtogether allthoseinterestedin the management of large volumes of uncertainty and inconsistency in these areas. The First - ternational Conference on Scalable Uncertainty Management (SUM 2007) was held in Washington DC, USA, October 10-12, 2007. This volume contains the papers presented at the Second International C- ference on Scalable Uncertainty Management (SUM 2008), which was held in Naples, Italy, October 1-3, 2008. It contains 27 technical papers, which were selected out of 42 submitted papers in a rigorous reviewing process, where each paper wasreviewedby at leastthree ProgramCommittee members.The volume also contains extended abstracts of the three invited tutorials/talks.