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© 2004 Vrije Universiteit 1 Ontologies improve the design and interoperability of the networked enterprise Jaap Gordijn (email@example.com) Yao-Hua Tan (firstname.lastname@example.org) Vrije Universiteit Amsterdam, The Netherlands
© 2004 Vrije Universiteit 2 What is an Ontology? In philosophy: theory of what exists in the world (Aristotle, scholastics, Quine) consensual & formal description of shared concepts in a domainIn IT: consensual & formal description of shared concepts in a domain Aid to human communication and shared understanding, by specifying meaning Machine-processable (e.g., agents use ontologies in communication) Ontology = key technology in semantic information processing Applications: knowledge management, electronic business, multi- agent systems, industrial engineering, semantic world wide web Courtesy slide: Hans Akkermans Source: Financial Times, e-procurement, Oct. 2000
© 2004 Vrije Universiteit 3 Create common understanding with all stakeholders That’s what ontologies are about Source: Financial Times, e-procurement, Oct. 2000 Courtesy slide: Hans Akkermans
© 2004 Vrije Universiteit 4 Multiple ontologies for multiple purposes e 3 -value ontology e 3 -service ontology ebXML, DAML-S ontologies Configuration Ontology What do you want to do with your ontology?
© 2004 Vrije Universiteit 5 Example 1: Analysis of Bundles in the Electricity Domain (1) Elementary outcomes & inputs Bundles of outcomes & inputs Profitability assessment Deliverables
© 2004 Vrije Universiteit 6 Example 1: Analysis of Bundles in the Electricity Domain Step 2 Find service elements Step 3 Configure bundles Step 4 Analyse profitability Step 1 Design initial value proposition
© 2004 Vrije Universiteit 7 Example 2: Analysis of the Letter of Credit Procedure Shared understandig of service (LoC) Analysis: Illegal claimant Goals: Understanding Fraud analysis
© 2004 Vrije Universiteit 8 Ontologies are gonna get you Ontologies are a new mechanism for theory formation in Information Science: conceptualize business issues in a formal way They can be computer-implemented, and so give rigorous foundations to Information Systems They can thus be empirically tested and validated (the usual conceptual-level business talk you cannot) At the same time they show that statistics is not the only way for empirical research And their results are practically useful in business and industry (see our case studies)
ONTOLOGY-BASED INTERNATIONAL DEGREE RECOGNITION Vagan Terziyan, Olena Kaykova University of Jyväskylä, Finland Oleksandra Vitko, Lyudmila Titova (speaker)
OntoWeb: A Key Enabler for E-Commerce & Knowledge Management Networks Liaison Meeting Barcelona, February Valentina Tamma University.
Knowledge Management: The On-To-Knowledge Project Hans Akkermans Free University Amsterdam VUA.
Of 39 lecture 2: ontology - basics. of 39 ontology a branch of metaphysics relating to the nature and relations of being a particular theory about the.
CHAPTER 4 Conceptualize Phase. Introduction What is Conceptualize Development? The specification of the key elements of the theory, with their relationships.
Panel > Bled e-Commerce Conference > June 2004 Conceptual Business Models and Ontologies to improve the design and interoperability of the networked enterprise.
The Semantic Web Week 1 Module Content + Assessment Lee McCluskey, room 2/07 Department of Computing And Mathematical Sciences Module.
1 VITAL: Value-Based IT Alignment An Introduction to the project Pascal van Eck “Architectuur in een genetwerkte wereld”, NGI Regio Den Haag, September.
ON THE ROAD TO BUSINESS APPLICATIONS OF SEMANTIC WEB TECHNOLOGY Sematic Web in Business - How to Proceed IASW Kari Oinonen Kiertotie 14.
Masters in Information Science and Technology (IST) Thesis and Non-Thesis Option (30 Credits)
1 CS570 Artificial Intelligence Semantic Web & Ontology Kwak Nohyun Lee youn-ki Hwang young-bae.
School of Computing FACULTY OF ENGINEERING Developing a methodology for building small scale domain ontologies: HISO case study Ilaria Corda PhD student.
1/7 INFO60021 Natural Language Processing Harold Somers Professor of Language Engineering.
© Block III: Capita Selecta: Value modeling and … Goal modeling eService Bundle modeling Control modeling.
Semantic Information Assurance for Distributed Knowledge Management A Business Process Perspective Presented By: Syed Asif Raza Suraj Bista
EbXML Business Process Dept of Computer Engineering Khon Kaen University.
The Semantic Web Service Shuying Wang Outline Semantic Web vision Core technologies XML, RDF, Ontology, Agent… Web services DAML-S.
KR-2002 Panel/Debate Are Upper-Level Ontologies worth the effort? Chris Welty, IBM Research.
1 What is an Ontology? n No exact definition n A tool to help organize knowledge n Or a way to convey a theory on how to represent a class of things n.
Controlled Vocabularies in TELPlus Antoine ISAAC Vrije Universiteit Amsterdam EDLProject Workshop November 2007.
The Semantic Web. The Web Today Designed for Human to read Cannot express meaning Architecture: URL –Decentralized: Link structure Language: html.
An e-Business Model Ontology for Modeling e-Business Bled Electronic Commerce Conference 2002 Bled, June 2002 Alexander Osterwalder Yves Pigneur HEC Lausanne.
Knowledge Representation of Statistic Domain For CBR Application Supervisor : Dr. Aslina Saad Dr. Mashitoh Hashim PM Dr. Nor Hasbiah Ubaidullah.
©Ferenc Vajda 1 Semantic Grid Ferenc Vajda Computer and Automation Research Institute Hungarian Academy of Sciences.
Overview of Computing. Computer Science What is computer science? The systematic study of computing systems and computation. Contains theories for understanding.
1 Introduction to modeling Introduction. 2 Where are we? #TitleDate 1Introduction General concepts ORM modeling Relational.
Ontologies: Dynamic Networks of Formally Represented Meaning Dieter Fensel: Ontologies: Dynamic Networks of Formally Represented Meaning, 2001 SW Portal.
Event Linking With Meaning: Ontological Hypertext and the Semantic Web Hugh Davis Learning Societies Lab ECS The University of Southampton, UK All Notes.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. Slide 1-1 Chapter Copyright © 2011 by the McGraw-Hill Companies, Inc. All rights.
Knowledge representation https://store.theartofservice.com/the-knowledge-representation-toolkit.html.
Study Period Report: Metamodel for On Demand Model Selection (ODMS) Wang Jian, He Keqing, He Yangfan, Wang Chong State Key Lab of Software Engineering,
Vrije Universiteit Amsterdam On the 2005 Markov lecture by Avi Mandelbaum: Building a theory for managing capacity in the service sector Ger Koole, VU.
The Agricultural Ontology Server (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Food and Agriculture Organization.
OntoWeb SIG 2: Ontology Language Standards Heiner Stuckenschmidt Vrije Universiteit Amsterdam With contributions from: Ian Horrocks and Frank van Harmelen.
July 2002CSM2002, AB + HS1 Ontologies to structure models and modeling tasks Adrie J.M. Beulens and Huub Scholten Wageningen Universiteit, Toegepaste Informatiekunde.
Jim Hendler Chief Scientist - Information Systems Office DARPA.
Volgograd State Technical University Applied Computational Linguistic Society Undergraduate and post-graduate scientific researches under the direction.
The Semantic Web Week 13 Module Website: Lecture: Knowledge Acquisition / Engineering Practical: Getting to know.
Web Services Architecture An interoperability architecture for the World Wide Service Network.
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
Ontology Assessment – Proposed Framework and Methodology.
IW11 Phoenix, AZ - MBSE Workshop1 Ontology from an MBSE perspective Brief-out from breakout session Monday, January 31 st, 2011.
LE:NOTRE Spring Workshop The Role of Ontologies for Mapping the Domain of Landscape Architecture An introduction.
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ONION Ontologies In Ontology Community of Practice Leader
DOG Meaning modelling in knowledge engineering and philosophy : ontologies, formal semantics, etc. Meaning ? DOG Meaning ?
This chapter lays down the fundamental ideas and choices on which our approach is based. First, it identifies the needs of architects in the design, communication,
WonderWeb. Ontology Infrastructure for the Semantic Web. IST WP4: Ontology Engineering Heiner Stuckenschmidt, Michel Klein Vrije Universiteit.
1 Introduction to modeling Introduction Anna Fensel
PhD Seminar INFORGE/HEC e-Business Models HEC 2002 Lausanne, February Alexander Osterwalder HEC Lausanne (+41.
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