PPT-Knowledge Representation

Part II Description Logic amp Introduction to Protégé Jan Pettersen Nytun 1 The Semantic Web Knowledge Representation Part II JPN UiA 2 The Semantic Web is not a separate Web but an extension of the current one in which information is given welldefined meaning better enabling computers and people to work in cooperation. Knowledge by description We know of by description if we know a descrip tion and we know that there is just one object to which this description applies where the description is composed entirely of terms with whose referents we are acquainted Since Introduction. Domain specific knowledg. e is needed to solve some problems.. Knowledge base – representation.. Inference techniques. Use to prove facts.. Use to answer queries. Knowledge Representation Schemes. Representation. How the media shows us things about society – but this is through careful mediation. Hence . re-presentation.. For representation to be meaningful to audiences there needs to be a shared recognition of people, situations, ideas etc.. in Court. Wilbert. van de Donk. Chairman Royal Professional . Board. of . Judicial. . Officers. , . T. he . Netherlands. . . Representation. in . Court. 900 . bailiffs. , private . practice. 250 . Daniel Stockemer. Inclusion and Exclusion Conference, Ottawa, Canada. April 26, 2012. Research Question. Research Topic: An evaluation of the inclusiveness and exclusiveness in terms of representation of various European national parliamentary assemblies that operate under various electoral system types. . Learning. for. . Word, Sense, Phrase, Document and Knowledge. Natural . Language Processing . Lab. , Tsinghua . University. Yu Zhao. , Xinxiong Chen, Yankai Lin, Yang Liu. Zhiyuan Liu. , Maosong Sun. *From the chapter by . stuart. hall . Furness – . COMM 205. What representation is . not. …. Media instantaneously planting images and thoughts in our heads. What representation is . also . not. Module C. The RUBRIC says.... This module requires students to explore various . representations of events, personalities or situations. . They evaluate . how. . medium of production, textual form, perspective and choice of language influence meaning. The study develops students’ understanding of the . (Slides borrowed from various presentations). Image representations. Templates. Intensity, gradients, etc.. Histograms. Color, texture, SIFT descriptors, etc.. Space Shuttle Cargo Bay. Image Representations: Histograms. vine rst second Representation Heads Modiers Representation Heads Modiers Representation Heads Modiers Representation Heads Modiers First-OrderFeatureCalculation ArcLengthByPart-of-Speech ArcLeng Representations and schemata. Do we represent what we see? . Magritte: . The Uses of . Speech. . (or do we represent what we see?. Magritte: . The Interpretation of . Dreams. Or: do we even see what is there?. Elements. 1. False representation to testator.. 2. Knowledge of falsity.. Elements. 1. False representation to testator.. 2. Knowledge of falsity.. 3. Testator reasonably believed representation.. Concepts, Category, Networks, and Schemas. Concepts- . an idea about something that provides means of understanding the world. Organization of Declarative Knowledge. Category – . Provers. Originally Presented by. Peter Lucas. Department of Computer Science, Utrecht University. Presented . by. Sarbartha. . Sengupta. (10305903). Megha. Jain (10305028. ). Anjali . Singhal. (10305919).