Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
ThisvolumecontainstheproceedingsoftheninthInternationalJointConferenceonKnowledgeDiscovery, Knowledge Engineering and Knowledge Management (IC3K 2017) which was sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and held in Porto, Portugal and co-organized by Universidade da Madeira and Madeira Interactive Technologies Institute (MITI). IC3K was organized in cooperation with the ACM SIGMIS - ACM Special Interest Group on Management Information Systems, ACM SIGAI - ACM Special Interest Group on Artiﬁcial Intelligence, APRP – AssociaçãoPortuguesadeReconhecimentodePadrões,GermanSocietyforComputerScience–SpecialInterest GrouponKnowledgeManagement,AssociazioneItalianaperl’IntelligenzaArtiﬁciale,AAAI–Association for the Advancement of Artiﬁcial Intelligence , APPIA - Portuguese Association for Artiﬁcial Intelligence and ERCIM - European Research Consortium for Informatics and Mathematics. The main objective of IC3K is to provide a point of contact for scientists, engineers and practitioners interested on the areas of Knowledge Discovery, Knowledge Engineering and Knowledge Management.
As any other genre, academic paper can be characterized by its own specific rules and features. The authors assume that academic style fitches called in this research “style markers” can be modelled by means of ontology engineering. The article is aimed at describing the academic style markers ontology design and its practical using. The designed ontology is divided into two levels. The first level provides information about linguistic terms and the second level consists of style markers, which were suggested by experts in linguistic. It is assumed that two tasks will be solved on the basis of developed ontology. The first task is generating lexical-semantic templates, which is used to identify the list of markers in a text. Due to ontology approach and Domain Specific Language (DSL) technologies applying users can be able to extend and modify marker templates. The second task is developing an expert system rules for text style enhancement.