'Description logics' diaporamas de présentation

-Ontologies: Bio-Ontologies: Their Creation and Design

-Ontologies: Bio-Ontologies: Their Creation and Design . Dr. Peter Karp SRI, http://www.ai.sri.com/~pkarp/ Dr. Robert Stevens & Professor Carole Goble University of Manchester, UK http://img.cs.man.ac.uk/tambis. Advertisement. The Fourth Annual Bio-Ontologies Meeting

1.18k views • 84 slides

MIE 2006 Tutorial Standards and Ontology Part 2: SNOMED - CT Sunday 27th, 2006

MIE 2006 Tutorial Standards and Ontology Part 2: SNOMED - CT Sunday 27th, 2006. Werner Ceusters, MD Ontology Research Group Center of Excellence in Bioinformatics & Life Sciences SUNY at Buffalo, NY. Objectives.

916 views • 64 slides

Amit Sheth Large Scale Distributed Information Systems (LSDIS) lab, Univ. of Georgia

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The Semantic Web

563 views • 54 slides

Description Logic Reasoning

Description Logic Reasoning. Ian Horrocks <horrocks@cs.man.ac.uk> University of Manchester Manchester, UK. Tutorial Outline. Introduction to Description Logics Ontologies Ontology Reasoning Why do we want it? How do we do it? Tableaux Algorithms for Description Logic Reasoning

983 views • 44 slides

myGrid

myGrid. Grid Services for Data-Intensive Bioinformatics Alvaro A A Fernandes Department of Computer Science University of Manchester, UK OiBC 2002, Washington, DC, USA, 19 November 2002. outline. myGrid: an e-science project distributed queries in myGrid. acknowledgements.

610 views • 36 slides

Basics of Reasoning in Description Logics

Basics of Reasoning in Description Logics. Jie Bao Iowa State University Feb 7, 2006. An ontology of this talk. Roadmap. What is Description Logics (DL) Semantics of DL Basic Tableau Algorithm Advanced Tableau Algorithm. Description Logics.

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Lecture 11 Ontology Engineering

Lecture 11 Ontology Engineering. Topics Basics Representation and Reasoning of Ontology General Ontology Languages Web-centric Ontology Languages Ontology Development Applications. Basics.

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Logical reasoning systems

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Stefan Schulz

Stefan Schulz. Institute for Medical Informatics, Statistics and Documentation. Tutorial-style Workshop: Ontological Realism for Biomedical Ontologies and Electronic Health Records Ontology authoring and assessment. Objectives.

417 views • 27 slides

Knowledge Representation and Reasoning using PowerLoom

Knowledge Representation and Reasoning using PowerLoom. Presenter Shamima Mithun. Overview. Introduction Terminology and Propositions PowerLoom Knowledge Base (KB) Construction Process Reasoning in PowerLoom KB Constructions and Query using PowerLoom Conclusion. Introduction. PowerLoom

396 views • 26 slides

Part 6: Description Logics

Part 6: Description Logics. Languages for Ontologies. In early days of Artificial Intelligence, ontologies were represented resorting to non-logic-based formalisms Frames systems and semantic networks Graphical representation arguably ease to design

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Ontologies for the Semantic Web

Ontologies for the Semantic Web. Michael Lutz michael.lutz@jrc.it Slides based on Co-ode OWL Tutorial (University of Manchester) http://co-ode.man.ac.uk/resources/tutorials/intro/slides/. Overview. Why do we need ontologies and the Semantic Web? What are ontologies ontology definitions

387 views • 23 slides

A Description Logics Approach to Clinical Guidelines and Protocols

A Description Logics Approach to Clinical Guidelines and Protocols. Stefan Schulz Department of Med. Informatics Freiburg University Hospital Germany. Udo Hahn Text Knowledge Engineering Lab Freiburg University, Germany. Formalization of CGP.

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Logic-based Semantically Enriched Integration of Multi-Feature MIR

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Representation

Temporal Reasoning and Planning in Medicine Frame-Based Representations and Description Logics Yuval Shahar, M.D., Ph.D. Representation. Knowledge systems are a model of a domain, a process, or a task Representations enable making distinctions and inferences appropriate for relevant tasks

315 views • 18 slides

Description Logics

Description Logics. Outline. Knowledge Representation Ontology Language Description Logics Application. Knowledge Representation. Object: find implicit meaning in explicit knowledge

349 views • 18 slides

Alternative representations: Semantic networks

Alternative representations: Semantic networks. A semantic net is a labeled directed graph, where each node represents an object (a proposition), and each link represents a relationship between two objects. Example: sister-of husband-of

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Introduction to Description Logics and OWL

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The methodology for building an ontology in four steps

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