An A* based semantic tokenizer for increasing the performance of semantic applications

Research output: Contribution to conferenceOtherpeer-review

1 Citation (Scopus)

Abstract

Semantic Applications (SAs) makes use of ontolo- gies 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.
Original languageEnglish
Pages393-394
Number of pages2
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Software

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