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    TWC data-gov corpus: incrementally generating linked government data from data.gov

    Author
    Ding, Li; DiFranzo, Dominic; Graves, Alvaro; Michaelis, James; Li, Xian; McGuinness, Deborah; Hendler, Jim
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    Date Issued
    2010-04-30
    Subject
    Linking Open Government Data
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    http://archive.tw.rpi.edu/media/latest/www2010DataGovCorpus.pdf; https://hdl.handle.net/20.500.13015/4629
    Abstract
    The Open Government Directive is making US government data available via websites such as Data.gov for public access. In this paper, we present a Semantic Web based approach that incrementally generates Linked Government Data (LGD) for the US government. In focusing on the tradeoff between high quality LGD generation (requiring non-trivial human expert input) and massive LGD generation (requiring low human processing cost), our work is highlighted by the following features: (i) supporting low-cost and extensible LGD publishing for massive government data; (ii) using Social Semantic Web (Web3.0) technologies to incrementally enhance published LGD via crowdsourcing, and (iii) facilitating mashups by declaratively reusing cross-dataset mappings which usually are hardcoded in applications.;
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    https://tw.rpi.edu/project/LOGD;
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