Abstract DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the extraction of the DBpedia datasets, and how the resulting information is published on the Web for human- and machineconsumption. We describe some emerging applications from the DBpedia community and show how website authors can facilitate DBpedia content within their sites. Finally, we present the current status of interlinking DBpedia with other open datasets on the Web and outline how DBpedia could serve as a nucleus for an emerging Web of open data. 1

Abstract—The Web of Data cannot be a trustworthy data source unless an approach for evaluating the quality of data on the Web is established and integrated as part of the data publication and access process. In this paper, we propose an approach of using provenance information about the data on the Web to assess their quality and trustworthiness. Our contributions include a model for Web data provenance and an assessment method that can be adapted for specific quality criteria. We demonstrate how this method can be used to evaluate the timeliness of data on the Web, to reflect how up-to-date the data is. We also propose a possible solution to deal with missing provenance information by associating certainty values with calculated quality values. I.

Abstract. There are currently Wikipedia editions in 264 different languages. Each of these editions contains infoboxes that provide structured data about the topic of the article in which an infobox is contained. The content of infoboxes about the same topic in different Wikipedia editions varies in completeness, coverage and quality. This paper examines the hypothesis that by extracting infobox data from multiple Wikipedia editions and by fusing the extracted data among editions it should be possible to complement data from one edition with previously missing values from other editions and to increase the overall quality of the extracted dataset by choosing property values that are most likely correct in case of inconsistencies among editions. We will present a software framework for fusing RDF datasets based on different conflict resolution strategies. We will apply the framework to fuse infobox data that has been extracted from the English, German, Italian and French editions of Wikipedia and will discuss the accuracy of the conflict resolution strategies that were used in this experiment.

Abstract. Finding, accessing and consuming multimedia content on the Web is still a challenge. In this position statement we discuss three still widely neglected issues arising when one is interacting with multimedia content in social media environments: provenance, trust, and privacy. We will introduce a generic model allowing us to identify potential risks and problems, further discuss this model regarding multimedia content and finally outline how Semantic Web technologies can help. 1

c ○ 2008 for the individual papers by the papers ’ authors. Copying permitted for private and academic purposes. Re-publication of material from this volume requires permission by the copyright owners. Preface Media sharing and social networking websites have attracted many millions of users resulting in vast collections of user generated content. The contents are typically poorly structured and spread over several platforms, each supporting specific media types. With the increasing growth and diversity of these websites, new ways to access and manage the contents are required – both within and across Web platforms. For these reasons, the convergence of the Social and the Semantic Web is of great potential for the future evolution of the Web. The goal of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW’08) is to provide a forum for researchers and practitioners from the Semantic Web, Human-computer Interaction, and multimedia communities to discuss these topics and share experiences from a multidisciplinary perspective. The focus is on new approaches that follow Web 2.0 principles of simplicity and/or social navigation in combination with the representation, annotation, and linking power of the Semantic Web. The half-day workshop is co-located with the third International Conference on Semantic and Digital Media Technologies (SAMT 2008) that takes place in Koblenz on

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