{'fraction_non_alphanumeric': 0.026022304832713755, 'fraction_numerical': 0.02808756712102437, 'mean_word_length': 5.407407407407407, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
GUEST EDITORIAL: ONTOLOGIES, SET OF EXPERIENCE, AND DECISIONAL DNA: SMART TOOLS AND TECHNIQUES FOR KNOWLEDGE ENGINEERING

The above questions and the enormous knowledge engineering (KE) enhancement potential in capturing, storing, reusing, sharing, improving, and even marketing decisional experience motivated the research efforts presented in the selection of papers included in this issue. The papers present some of the latest developments and novel applications of important new KE methods to problems from many areas of research that can be of interest to the systems science and cybernetics community. Since the underlying Drucker’s proposition of the importance of knowledge was introduced (Drucker 1995), knowledge representation systems have been the goal of researchers and plant engineers alike for over 15 years. However, these problems and their solutions do not appear to have progressed too far. The fundamental limitation of current research in this area is that is does not fully take advantage of experience and does not persistently apply experience as ongoing, real-time reference during the decisional process in a way that happens naturally when humans make decisions when confronted with a new situation. This fact was an instrumental realization at the beginning of each research conceptualization behind each paper selected for this issue. The selected papers introduce a number of novel concepts and techniques that can support knowledge management in a smart way. Central to these concepts is a novel knowledge representation (KR) approach in which experiential knowledge is represented by set of experience (SOE) and is carried into the future by decisional DNA (DDNA). In nature, deoxyribonucleic acid (DNA) contains the genetic instructions used in the development and functioning of all known living organisms (Sinden 1994). The main role of DNA molecules is the long-term storage of information. DNA is often compared to a set of blueprints and the DNA segments that carry this genetic information are called genes (Pollack 1994; Sinden 1994). The main idea behind the research efforts described in the selected papers is to develop an artificial system, an architecture that would support discovering, adding, Cybernetics and Systems: An International Journal, 43:63–66 Copyright # 2012 Taylor & Francis Group, LLC ISSN: 0196-9722 print=1087-6553 online DOI: 10.1080/01969722.2012.654076