Download Concepts, Ontologies, and Knowledge Representation by Grega Jakus, Veljko Milutinović, Sanida Omerović, Sašo PDF
By Grega Jakus, Veljko Milutinović, Sanida Omerović, Sašo Tomažič
Recording wisdom in a typical framework that will give the chance to seamlessly percentage international wisdom is still a massive problem for researchers. This short examines a number of principles in regards to the illustration of data addressing this problem. A frequent normal contract is that states uniform wisdom illustration could be plausible through the use of ontologies populated with options.
A separate bankruptcy is devoted to every of the 3 brought themes, following a uniform define: definition, association, and use. This short is meant if you happen to are looking to get to grasp the sector 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 platforms also are given.
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Extra resources for Concepts, Ontologies, and Knowledge Representation
Ontology languages allow the sharing of knowledge and at the same time support its processing by providing reasoning rules. Fig. 2 Organization 33 Generally speaking, ontology languages can be classified into two groups depending on the system of logic a particular language is based on. The ontology languages based on description logic traditionally originate from the field of artificial intelligence. Two typical examples of such languages are KL-ONE (Brachman and Schmolze 1985) and LOOM (MacGregor and Bates 1987).
W3C recommendation 27 October 2009. org/TR/owl-overview/. stanford. edu/. Accessed 25 Sep 2012 Schreiber AT, Dubbeldam B, Wielemaker J, Wielinga B (2001) Ontology-based photo annotation. IEEE Intell Syst 16(3):66–74 Schreiber G (2008) Knowledge engineering. In: van Harmelen F, Lifschitz V, Porter B (eds) Handbook of knowledge representation. Elsevier, Amsterdam, pp 929–946 Semafora systems (2012) OntoStudio. com/en/products/ontostudio/. Accessed 25 Sep 2012 Studer R, Benjamins VR, Fensel D (1998) Knowledge engineering: principles and methods.
Accessed 25 Sep 2012 Woods W (1997) Conceptual indexing: a better way to organize knowledge. Technical report, Sun Microsystems, Mountain View Zellweger P (2003) A knowledge-based model to database retrieval. In: Proceedings of the international conference on integration of knowledge intensive multi-agent systems, Boston, 30 Sep–4 Oct 2003, pp 747–753 Chapter 3 Ontologies The term ‘‘ontology’’ originates in philosophy, where it refers to the study of being or existence and the organization of reality (Guarino and Giaretta 1995; Studer et al.