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Showing papers by "David Martin published in 2017"


01 Jan 2017
TL;DR: An extensible reasoning framework developed at Nuance Communications that allows a variety of specialized reasoners to be used simultaneously and provides a real world use case in the automotive domain is reported on.
Abstract: In this paper, we report on an extensible reasoning framework developed at Nuance Communications that allows a variety of specialized reasoners to be used simultaneously. We report on the key design features of our reasoning framework, and provide a real world use case in the automotive domain.

2 citations



Journal ArticleDOI
TL;DR: In this paper, the authors provide a preliminary opinion on the European Commission's decision on the Google Search (Shopping) case. But they do not provide a detailed analysis of the decision.
Abstract: This paper provides a preliminary opinion on the European Commission's decision on the Google Search (Shopping) case.

1 citations


Patent
13 Apr 2017
TL;DR: In this article, a method for aligning a first data source and a second data source during a plurality of iterations comprising a current iteration and a previous iteration is provided, which comprises generating at least one property alignment hypothesis between at least first first property of the first source and at least second second property of second source.
Abstract: According to some aspects, a method for aligning a first data source and a second data source during a plurality of iterations comprising a current iteration and a previous iteration is provided. The method comprises generating at least one property alignment hypothesis between at least one first property of the first data source and at least one second property of the second data source; generating a plurality of instance alignment hypotheses between a respective first plurality of instances of the first data source and a respective second plurality of instances of the second data source; and verifying at least one property alignment hypothesis and/or at least one of the plurality of instance alignment hypotheses. Generating the at least one property alignment hypothesis and/or generating the plurality of instance alignment hypotheses is based, at least in part, on at least one property alignment hypothesis and/or at least one instance alignment hypothesis verified during the previous iteration.