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- W2034862186 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 trade-off 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 mash-ups by declaratively reusing cross-dataset mappings which usually are hard-coded in applications." @default.
- W2034862186 created "2016-06-24" @default.
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- W2034862186 date "2010-04-26" @default.
- W2034862186 modified "2023-10-13" @default.
- W2034862186 title "TWC data-gov corpus" @default.
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- W2034862186 doi "https://doi.org/10.1145/1772690.1772937" @default.
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