[[TracNav]] = AlignmentGenerator: [wiki:PhaseLibs PhaseTab] Algorithm = Developers: [mailto:endres(at)dfki.uni-kl.de Björn Endres] and [mailto:Malte.Kiesel(at)dfki.de Malte Kiesel] == Description == The PhaseTab algorithm is a generic algorithm that employs an arbitrary number of [wiki:SimilarityMeasure SimilarityMeasures] to generate an alignment. The algorithm was originally developed by [mailto:Malte.Kiesel(at)dfki.de Malte Kiesel] and [mailto:Ludger.van_Elst(at)dfki.de Ludger van Elst] and has been presented in the paper referenced [wiki:PhaseLibs here]. It was then adapted for the PhaseLibs project. The basic principle of the algorithm is the iterative confirmation of the best ranked relation proposals. This approach makes use of a feature of some [wiki:SimilarityMeasure SimilarityMeasures], especially the SimilarityFlooding, which increase their precision when given higher confidences on correct relations. In order to archieve a robust and fair ranking, a BordaCount alogrithm is used to identify the {{{n}}} best rated realtion of all SimilarityMeasures involved. An iteration cycle now consists of three phases: 1) Generate the SimilarityMatrix for all [wiki:SimilarityMeasure SimilarityMeasures] involved, using the current alignment as an input; the current alignment being empty in the first iteration. If the SimilarityMeasure is independent of such input, e.g. with a frame name based comparison measure, the matrix should not be recalculated. This is, however, up to the measure to decide. 2) Copy all 1.0 rated realtions, i.e. "confirmed ones", into a new and empty alignment. 3) Rank the remaining relations and identify the {{{n}}} best. These are also confirmed by setting their confidence to 1.0. 4) Finally append all other relations with the confidences given by the BordaCount algorithm. == Characteristics == == Evaluation/Performance == == Specification == === Intitialisation === === Parameters === none === Dependencies === none == License Issues == TODO