By Grega Jakus, Veljko Milutinović, Sanida Omerović, Sašo Tomažič
Recording wisdom in a typical framework that may give the opportunity to seamlessly percentage international wisdom continues to be a big problem for researchers. This short examines a number of rules concerning the illustration of data addressing this problem. A frequent basic contract is that states uniform wisdom illustration can be attainable through the use of ontologies populated with techniques.
A separate bankruptcy is devoted to every of the 3 brought themes, following a uniform define: definition, association, and use. This short is meant should you are looking to get to understand the sphere of data illustration speedy, or wish to be modern with present advancements within the box. it's also necessary for these facing implementation as examples of diverse operational structures also are given.
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Extra info for Concepts, Ontologies, and Knowledge Representation
Some of the well-known software tools for creating ontologies include TERMINAE (Biebow et al. 1999; TERMINAE 2012), Protégé (Noy et al. 2001; Protégé 2012), KAON (Bozsak et al. 2002; KAON2 2012), DogmaModeler (DM 2012), HOZO (Mizoguchi et al. 2007; HOZO 2012) and OntoStudio (Weiten 2009; Semafora 2012). The methodology for constructing ontologies (also implemented in some of these tools) was developed under the projects OntoClean (Guarino and Welty 2002; OntoClean 2012), On-To-Knowledge (Sure and Studer 2002) and Dogma (Jarrar and Meersman 2002).
In certain situations, one person’s knowledge can, namely, represent completely meaningless data for someone else. For example, all knowledge a skilled chess player has on opening strategies makes very little sense to someone who does not know how the individual chess pieces move. If it is so difficult to define knowledge, why should one take the trouble of defining it? Even without an explicit definition, knowledge can be recognized from observing the activity of entities (human or software agents) that are capable of particular actions, and the effects of such activity (Newell 1982; Guarino and Giaretta 1995; Schreiber et al.
In: Proceedings of the 2007 conference on human interface, Beijing Gal A, Modica G, Jamil H (2004) OntoBuilder: fully automatic extraction and consolidation of ontologies from web sources. In: Proceedings of the 20th international conference on data engineering, Boston Gangemi A, Guarino N, Masolo C, Oltramari A, Schneider L (2002) Sweetening ontologies with DOLCE. In: Knowledge engineering and knowledge management: ontologies and the semantic web. Lecture notes in computer science, vol 2473. 0, reference manual.