'Daml oil' diaporamas de présentation

Ontologies and the Semantic Web

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DAML-S Briefing

DAML-S Briefing. DAML-S Web Services Coalition Presented by: David Martin (SRI) Sheila McIlraith (Stanford KSL) Terry Payne (Southampton) http://www.daml.org/services/. DAML-S Web Services Coalition. BBN: Mark Burstein CMU: Massimo Paolucci, Katia Sycara ICSI : Srini Narayanan

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OIL and DAML+OIL: Ontology Languages for the Semantic Web

TOWARDS THE SEMANTIC WEB: Ontology-driven Knowledge Management. OIL and DAML+OIL: Ontology Languages for the Semantic Web. 2005. 1. 10. Sungshin Lim sslim@pusan.ac.kr. Artificial Intelligence Laboratory, Pusan National University. Contents. The Semantic Web Pyramid of Languages

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Master Card

Master Card. 000 0000 000 000. EXP 00/00. DAML-S A DAML+OIL Ontology for Web Services. VISA. 000 0000 000 000. Delivery. DAML-S. EXP 00/00. American Express. Jerry R. Hobbs. EXP 00/00. 000 0000 000 000. Jerry R. Hobbs. Brought to you by the DAML-S Web Services Coalition.

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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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Ontology Language Comparisons

Ontology Language Comparisons. doug foxvog 16 September 2004. Overview. Numerous Ontology Languages Different Logical Formalisms Syntactical Form Language Features. Numerous Ontology Languages. Most Computer Science fields have a few standard languages

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Semantic Web Ontologies & Data Models

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Reasoning: Who Gives a Hoot?

Reasoning: Who Gives a Hoot?. Sean Bechhofer Information Management Group University of Manchester, UK http://img.cs.man.ac.uk http://oiled.man.ac.uk. The Semantic Web. Most existing Web resources only human understandable Markup (HTML) provides rendering information

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The SEMANTIC Web

The SEMANTIC Web. Dr.P.Kefalas Computer Science Dept. The World Wide Web now. I need to have my hair dyed at the closest hairdresser sometime on Friday. Where is the nearest hairdresser?. What is the telephone number?. How can I fix an appointment?. WWW.

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UIM with DAML-S Service Description

UIM with DAML-S Service Description. Team Members: Jean-Yves Ouellet Kevin Lam Yun Xu. Outline. RDF DAML+OIL DAML-S UIM with DAML-S Service Description References. RDF. Resource Description Framework (W3C)

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DAML PI Meeting Status Briefing

tell. register. DAML PI Meeting Status Briefing. UMBC, JHU APL, MIT Sloan Tim Finin Jim Mayfield Benjamin Grosof February 12, 2002. JHU APL Haircut retrieval system. XTalks Application testbed. Communicating Agents. Accomplishments.

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Reasoning Breakout Session

Reasoning Breakout Session. Richard Fikes Mike Dean. DAML PI Meeting Nashua, New Hampshire July 18-20, 2001. 7/20/01. Roles For Reasoning In The Semantic Web. For ontology builders Classification Inconsistency detection For Web site builders Recognition Inconsistency detection

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LCW-Based Agent Planning for the Semantic Web

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DAML+OIL: an Ontology Language for the Semantic Web

DAML+OIL: an Ontology Language for the Semantic Web. DAML+OIL Design Objectives. Well designed Intuitive to (human) users Adequate expressive power Support machine understanding/reasoning Well defined Clearly specified syntax (obviously) Formal semantics (equally important)

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DAML+OIL

DAML+OIL. DC. PICS. XHTML. SMIL. RDF(S). HTML. XML. DAML+OIL. DAML+OIL Language. A DAML+OIL ontology consist of Headers Class elements Property elements Instances. Header. Version, String - e.g. RCS/CVS information Comments Imports, fetches resource, transitive.

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Extensible Ontological Modeling Framework for Subject Mediation

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OntoWeb SIG 2: Ontology Language Standards Heiner Stuckenschmidt Vrije Universiteit Amsterdam

OntoWeb SIG 2: Ontology Language Standards Heiner Stuckenschmidt Vrije Universiteit Amsterdam With contributions from: Ian Horrocks and Frank van Harmelen. Historical Perspective. Ontology inference layer OIL (2000)

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Tools for Developing and Using DAML-Based Ontologies and Documents

Tools for Developing and Using DAML-Based Ontologies and Documents Richard Fikes Deborah McGuinness Sheila McIlraith Jessica Jenkins Son Cao Tran Gleb Frank Scott Sanner Honglei Zeng Knowledge Systems Laboratory, Computer Science Department, Stanford University.

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