The WaSABi workshop aims at helping to guide the conversation between the scientific research community, IT practitioners and industry. The workshop helps to establish best practices for the development, deployment and evaluation of Semantic Web based technologies. Both research and industry communities can benefit greatly from this discussion by sharing use cases, user stories, practical development issues, evalutaions and design patterns.
Since the start of the Linked Open Data Cloud, we have seen an unprecedented volume of structured data published on the web, in most cases as RDF and Linked (Open) Data. The quality of these datasets can hardly be better than the original data source. We see datasets originating from crowdsourced sources like Wikipedia and OpenStreetMap and highly curated sources e.g. from the library domain. Quality is of course fitness for use, thus DBpedia currently can be appropriate for a simple end-user application but could never be used in the medical domain for treatment decisions.
Social Web Communities such as Flickr, Youtube and Facebook have collected a huge amount of valuable multimedia content. How this data can be successfully exploited has been subject of research for members from both communities - computer vision as well as knowledge mining. The aim of this workshop is to bring together outstanding research results that show how social multimedia data can be used to bridge the gap between semantic analysis and visual analysis to exploit synergies and to enable higher quality results as well as better efficiency.