Web-Scale Data Integration: You can afford to Pay as You Go

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Management of probabilistic data: foundations and challenges (2007, background): “Representing uncertainties explicitly is a cheap, perhaps temporary substitute for more precise integration, say one based on ontologies, a form of pay as you go data integration [35, 45, 61].”
Google's Deep Web crawl (2008, methodology): “Various accounts have hypothesized that the Deep Web has an order of magnitude more data than the currently search-able World Wide Web [2, 9, 12].”
ViDE: A Vision-Based Approach for Deep Web Data Extraction (2010, background): “reached 25 millions according to a recent survey [21].”
Linked Data: Evolving the Web into a Global Data Space (2011, methodology): “It will be interesting to see how vocabulary reuse [22], integration hints in the form of RDF links [27], and relationship mining [74] will play together over time in reaching the ultimate goal of Linked Data – being able to query the Web as a single global database.”
DeepDive: Declarative Knowledge Base Construction (2016, background): “(4) The user constructs an end-to-end system and then reﬁnes the quality of the system in a pay-as-you-go way [26].”
Big data integration (2013, background): “The second is to crawl and index the Deep Web data [34], [35].”