An A* Based Semantic Tokenizer for Increasing the Performance of Semantic Applications
Arianna Pipitone, Maria Carmela Campisi, Roberto Pirrone · 2013
Semantic Applications (SAs) makes use of ontologies and their performance can depend on the syntactic labels of the modeled entities, even if several approaches have been devised to formalize ontologies, no formal approaches have been devised for naming their constituents, which look as long word concatenations without any particular separation. We present a novel semantic tokenizer that finds the sub-words through an application of the A based search algorithm, the A functions rely on a set of linguistic criteria and on the meta-cognitive perspective of the activity of reading.