Changes between Version 2 and Version 3 of generator_HotSpot
- Timestamp:
- 09/27/06 10:19:42 (19 years ago)
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generator_HotSpot
v2 v3 7 7 == Description == 8 8 9 This '''experimental''' AlignmentGenerator tries to tackle large scale ontology alignment, for which other approaches fail due to high memory and/or performance requirements. The general idea is a divide and conquer approach, continously aligning a number of parts of the ontologies and joining them it to a single, large alignment. 9 10 10 11 == Characteristics == … … 19 20 || PARAM_TAXONOMY_ONLY || Boolean || {{{FALSE}}} || Defines whether only the taxonomy (classses) should be aligned. This defaults to aligning the classes along with the properties.|| 20 21 || PARAM_THRESHOLD || Double || {{{0.0}}} || This standard parameter forces the algorithm to drop all relations with lesser confidence. However, this parameter must be chosen carefully, since the confidences produced by the [wiki:generator_BordaCount BordaCount] algorithm are no explanatory values. It would probably make more sense, to apply a threshold to each SimilarityMeasure, but this requires for a set of threshold parameters and not just a single one.|| 21 || PARAM_MAXIMAL_ITERATIONS || Integer || {{{64}}} || Defines the number of iteration cycles to be performed. Thus (PARAM_MAXIMAL_ITERATIONS * PARAM_CONFIRMATION_STEP_SIZE) relations eventually be confirmed.||22 || PARAM_CONFIRMATION_STEP_SIZE || Integer || {{{5}}} || Defines the number of relations to confirm with each iteration.||23 || PARAM_FIX_1_0_RELATIONS || Boolean || {{{TRUE}}} || EXPERIMENTAL: This enables the user to lift the 1.0 restriction, i.e. each iteration the relations with confidence 1.0 are set to 0.9999 to enable the system to review them. However, first test produced poor results.||24 22 25 23 === Dependencies ===
