PPT-CMO:Concept Modelling Ontology

araendParaRPr langenGB dirty0apptxBodypsppsppnvSpPrpcNvPr id2 nameTextBox 1pcNvSpPr txBox1pnvPrpnvSpPrpspPraxfrmaoff x1309868 y2616440aext cx1279261 cy307777axfrmaprstGeom prstrectaavLstaprstGeomanoFillpspPrptxBodyabodyPr wrapnone rtlCol0aspAutoFitabodyPralstStyleapararPr langenGB sz1400 b0 dirty0 smtClean0. . Neda Alipanah. 22 October 2012. Content. Why . Ontologies. ?. Machine Process able Knowledge. Knowledge Exchange. Big Data. Relevant Technologies. Layered Architecture. Building Tools and Visualization . Mouhyemen A. Khan Arian Yusuf. Ahmed . Ragheeb. Nouran Mohamed. Mentor: Dr. . Beena. Ahmed. Motivation. Historical. Review. Sayre Glove. Developed by Thomas de . Fanti. & Daniel . Sandin. Ontologies. Benefit from. Formal Concept Analysis. Bar. ış Sertkaya. SAP Research Center Dresden. Germany. FCA and DLs, what are they?. Formal . Concept. Anal. ysis. (FCA). field of mathematics based on. Gordon Dunsire. Presented at the special session “. Application Profiles as an alternative to OWL . Ontologies”. DC-2013, 3-5 September 2013, Lisbon, Portugal. Manifestation. Expression. Work. Item. 7. th. December. 2010. Elma . Akand. *, Mike Bain, Mark Temple. *CSE, . UNSW/School . of Biomedical and Health . Sciences,UWS. 1. The Sixth Australasian Ontology Workshop, . Adelaide . University of South Australia. Khan, L., McLeod, D. & . Hovy. , E. .. . Presented by Danielle Lee. Agenda. Study Purpose. Target Data Processing. Ontology Development. Metadata. Query Mechanism. Experiment. Results. Discussion. . Session. Thursday. Sep. 17. Dr. Paola Grosso. Assistant Professor. SNE . group. - UvA. p.grosso@uva.nl. Dr. . Ilya. . Baldin. . Director. , Networking Research . and. . Infrastructure. . RENCI. Part II. So far,. We have seen the history of the ACM computing classification system. What have you observed?. What topics from CS2013 have you not been able to find in the 2012 CCS?. Another approach. Where might knowledge reside?. “En. coded”. knowledge. Text, . programming, . “Em. brained. ” knowledge. CEO, chess player, fire fighter. “Em. bodied. ” knowledge. Learning by doing; learning occurs not just in the brain, body memory . Presented by Sole. Chapters 1 - 5. Introduction. Artificial intelligence. Build . systems . that . incorporate . knowledge . about a . domain to . reason. . on the basis of this knowledge and solve problems . Werner Ceusters . and Barry Smith. Lecture 11. SNOMED CT.  . Werner Ceusters. Lecture 11. Part 1. Introduction to SNOMED CT. Werner Ceusters. SNOP: Systematized Nomenclature of Pathology. Pathologia. Ontology A b Fig.3 An example of the hierarchy of basic concepts In these considerations of role concepts, we have developed an ontology building environment, which provides a framework for representation of ro M. Abdullah. 1. st. . semester . 2018-2019. Computer Science Dept., College of . CS & IT, . Basrah. University. Lecture # . 2. OUTLINE. What’s Ontology?. Ontology in Semantic Web.. Web Ontology Language ..