Abstraction of Meaningful Symbolized Objects
Ján Kollár, Michal Sičák, Milan Spišiak · Open Computer Science · 2016
Abstract We describe the notion of abstraction and conceptualization of information obtained by symbolization of letters. We are able to recognize already observed information with those abstracted concepts. Further more, we are also able to recognize similar meaningful objects. Similarities identification is based on a repetition in the structure of information symbolized as a regular language string. We discuss approaches of repetition identification, i.e., longest repeating non-overlapping subsequence and longest common subsequence. Then we apply those approaches to the symbolized letters, thus obtaining abstracted information in the form of concepts.