6 research outputs found

    Web Science, Artificial Intelligence and Intelligence Augmentation (in Dagstuhl Perspectives Workshop 18262 - 10 Years of Web Science: Closing The Loop)

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    This abstract paper (from Dagstuhl Perspectives Workshop 18262 - 10 Years of Web Science: Closing The Loop) summarizes some challenges and opportunities at the intersection of Web Science, Artificial Intelligence and Intelligence Augmentation

    Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science

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    International audienceThis Manifesto was produced from the Perspectives Workshop 18262 entitled "10 Years of Web Science" that took place at Schloss Dagstuhl from June 24-29, 2018. At the Workshop, we revisited the origins of Web Science, explored the challenges and opportunities of the Web, and looked ahead to potential futures for both the Web and Web Science. We explain issues that society faces in the Web by the ambivalences that are inherent in the Web. All the enormous benefits that the Web offers-for information sharing, collective organization and distributed activity, social inclusion and economic growth-will always carry along negative consequences, too, and 30 years after its creation negative consequences of the Web are only too apparent. The Web continues to evolve and its next major step will involve Artificial Intelligence (AI) at large. AI has the potential to amplify positive and negative outcomes, and we explore these possibilities, situating them within the wider debate about the future of regulation and governance for the Web. Finally, we outline the need to extend Web Science as the science that is devoted to the analysis and engineering of the Web, to strengthen our role in shaping the future of the Web and present five key directions for capacity building that are necessary to achieve this: (i), supporting interdisciplinarity, (ii), supporting collaboration, (iii), supporting the sustainable Web, (iv), supporting the Intelligent Web, and (v), supporting the Inclusive Web. Our writing reflects our background in several disciplines of the social and technical sciences and that these disciplines emphasize topics to various extents. We are acutely aware that our observations occupy a particular point in time and are skewed towards our experience as Western scholars-a limitation that Web Science will need to overcome

    Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks

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    International audienceFor data sources to ensure providing reliable linked data, they need to indicate information about the (un)certainty of their data based on the views of their consumers. In Addition, uncertainty information in terms of Semantic Web has also to be encoded into a readable, publishable, and exchangeable format to increase the interoperability of systems. This paper introduces a novel approach to evaluate the uncertainty of data in an RDF dataset based on its links with other datasets. We propose to evaluate uncertainty for sets of statements related to user-selected resources by exploiting their similarity interlinks with external resources. Our data-driven approach translates each interlink into a set of links referring to the position of a target dataset from a reference dataset, based on both object and predicate similarities. We show how our approach can be implemented and present an evaluation with real-world datasets. Finally, we discuss updating the publishable uncertainty values

    The 8th ACM Web Science Conference 2016

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    10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262)

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    This report documents the program and the outcomes of Dagstuhl Seminar 18262 "10 years Web Science: Closing the Loop" that took place in Schloss Dagstuhl from 25-29 June 2018. In total, an interdisciplinary team of 22 researchers from computer science, sociology, philosophy and law gathered and discussed on the past, present and future of Web Science and what sort of actions the community should take to stay faithful to its initial mission for societal good. The role of Web Science is more critical than ever given the ever growing impact of the Web in our society
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