Knowledge Management: The On-To-Knowledge Project Hans Akkermans Free University Amsterdam VUA.

Slides:



Advertisements
Similar presentations
Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Advertisements

Ontological Resources and Top-Level Ontologies Nicola Guarino LADSEB-CNR, Padova, Italy
DELOS Highlights COSTANTINO THANOS ITALIAN NATIONAL RESEARCH COUNCIL.
Controlled Vocabularies in TELPlus Antoine ISAAC Vrije Universiteit Amsterdam EDLProject Workshop November 2007.
 Copyright 2006 Digital Enterprise Research Institute. All rights reserved. The Future is Now JeromeDL A Digital Library on Social Semantic.
© 2004 Vrije Universiteit 1 Ontologies improve the design and interoperability of the networked enterprise Jaap Gordijn Yao-Hua Tan.
SIG2: Ontology Language Standards WebOnt Briefing Ian Horrocks University of Manchester, UK.
Chapter 2. Slide 1 CULTURAL SUBJECT GATEWAYS CULTURAL SUBJECT GATEWAYS Subject Gateways  Started as links of lists  Continued as Web directories  Culminated.
Semantic Web and Web Mining: Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006.
SCULPTEUR: Multimedia Retrieval for Museums S. Goodall, P. H. Lewis, K. Martinez, P. A. S. Sinclair, F. Giorgini, M. J. Addis, M. J. Boniface, C. Lahanier,
Digitisation and Access to Archival Collections: A Case Study of the Sofia Municipal Government (1878 – 1879) Maria Nisheva-Pavlova, Pavel Pavlov Faculty.
Information Retrieval Concerned with the: Representation of Storage of Organization of, and Access to Information items.
Industrial Ontologies Group Oleksiy Khriyenko, Vagan Terziyan INDIN´04: 24th – 26th June, 2004, Berlin, Germany OntoSmartResource: An Industrial Resource.
The Semantic Web Week 1 Module Content + Assessment Lee McCluskey, room 2/07 Department of Computing And Mathematical Sciences Module.
ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.
OntoWeb SIG 2: Ontology Language Standards Heiner Stuckenschmidt Vrije Universiteit Amsterdam With contributions from: Ian Horrocks and Frank van Harmelen.
ONTOLOGY-BASED INTERNATIONAL DEGREE RECOGNITION Vagan Terziyan, Olena Kaykova University of Jyväskylä, Finland Oleksandra Vitko, Lyudmila Titova (speaker)
OIL: An Ontology Infrastructure for the Semantic Web D. Fensel, F. van Harmelen, I. Horrocks, D. L. McGuinness, P. F. Patel-Schneider Presenter: Cristina.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
Claudia Marzi Institute for Computational Linguistics (ILC) National Research Council (CNR) - Italy.
Research paper: Web Mining Research: A survey SIGKDD Explorations, June Volume 2, Issue 1 Author: R. Kosala and H. Blockeel.
Practical RDF Chapter 1. RDF: An Introduction
Aardvark Anatomy of a Large-Scale Social Search Engine.
The Semantic Web William M Baker
September 30, 2002EON 2002Slide 1 Integrating Ontology Storage and Ontology-based Applications A lesson for better evaluation methodology Peter Mika:
Nancy Lawler U.S. Department of Defense ISO/IEC Part 2: Classification Schemes Metadata Registries — Part 2: Classification Schemes The revision.
A new start for the Lisbon Strategy Knowledge and innovation for growth.
NLP And The Semantic Web Dainis Kiusals COMS E6125 Spring 2010.
Interfacing Registry Systems December 2000.
 Copyright 2005 Digital Enterprise Research Institute. All rights reserved. Semantic Web services Interoperability for Geospatial decision.
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
EU Project proposal. Andrei S. Lopatenko 1 EU Project Proposal CERIF-SW Andrei S. Lopatenko Vienna University of Technology
CORPORUM-OntoExtract Ontology Extraction Tool Author: Robert Engels Company: CognIT a.s.
FP WIKT '081 Marek Skokan, Ján Hreňo Semantic integration of governmental services in the Access-eGov project Faculty of Economics.
“D.A.I. & S.M. for KM” a synergy of complementary domains and challenges  the semantic web addicted people “please, raise your hands !”
The Evolution of ICT-Based Learning Environments: Which Perspectives for School of the Future? Reporter: Lee Chun-Yi Advisor: Chen Ming-Puu Bottino, R.
Search Engine Architecture
1 Of Crawlers, Portals, Mice and Men: Is there more to Mining the Web? Jiawei Han Simon Fraser University, Canada ACM-SIGMOD’99 Web Mining Panel Presentation.
CS315-Web Search & Data Mining. A Semester in 50 minutes or less The Web History Key technologies and developments Its future Information Retrieval (IR)
The Semantic Web: An Interview with Tim Berners-Lee VISION: What new capabilities will the Semantic Web have? STATUS: Who is committed and how do we get.
Computing Ontology Part II. So far, We have seen the history of the ACM computing classification system – What have you observed? – What topics from CS2013.
Semantic Web - EU perspectives Dieter Fensel Business Informatics Group Vrije Universiteit, Amsterdam.
SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.
Semantic Web: The Future Starts Today “Industrial Ontologies” Group InBCT Project, Agora Center, University of Jyväskylä, 29 April 2003.
1 DIP Partner Presentation Frankfurt, January 17, 2003 Rudi Studer & Alexander Maedche FZI Research Center for Information Technologies at the University.
Majid Sazvar Knowledge Engineering Research Group Ferdowsi University of Mashhad Semantic Web Reasoning.
Section 1: Answering the Economic Questions Unit 2: Economic Systems.
OWL Representing Information Using the Web Ontology Language.
Co-funded by the European Union Semantic CMS Community Content and Knowledge Management From free text input to automatic entity enrichment Copyright IKS.
Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #4 Vision for Semantic Web.
1 OntoWeb: A Key Enabler for E-Commerce & Knowledge Management Prof. Dr. Rudi Studer Institute AIFB, University of Karlsruhe.
Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.
Strategies for subject navigation of linked Web sites using RDF topic maps Carol Jean Godby Devon Smith OCLC Online Computer Library Center Knowledge Technologies.
On-To-Knowledge: Dissemination and Use Hans Akkermans Free University Amsterdam VUA.
Chapter7 TELECOMMUNICATIONS AND NETWORKS. Content e-Business Systems – Cross-Functional Enterprise Applications – Enterprise Application Integration –
UI's for inputting and presenting the metadata of hypermedia documents Kai Kuikkaniemi HUT T
On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA Hans-Peter Schnurr, AIFB Rudi Studer, AIFB York Sure, AIFB KMKMMethodology.
WIDE IST IST–2001–34417 WIDE WIDE Semantic Web-based Information Management and Knowledge Sharing for Innovative Product Design and Engineering.
From XML to DAML – giving meaning to the World Wide Web Katia Sycara The Robotics Institute
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
GoRelations: an Intuitive Query System for DBPedia Lushan Han and Tim Finin 15 November 2011
Event Linking With Meaning: Ontological Hypertext and the Semantic Web Hugh Davis Learning Societies Lab ECS The University of Southampton, UK All Notes.
Welcome to the first Study Visit! Sussex Innovation Centre, November
The Agricultural Ontology Server (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Food and Agriculture Organization.
Semantic Web Technologies Readings discussion Research presentations Projects & Papers discussions.
Lecture #11: Ontology Engineering Dr. Bhavani Thuraisingham
CSE 635 Multimedia Information Retrieval
Web Mining Department of Computer Science and Engg.
Information Retrieval and Web Design
Semantic Web Towards a Web of Knowledge - Outline
Presentation transcript:

Knowledge Management: The On-To-Knowledge Project Hans Akkermans Free University Amsterdam VUA

Hans AkkermansOn-To-Knowledge2 What is On-To-Knowledge? European project in EU Information Society Technologies Programme: EU-IST Aim: innovative tools for knowledge management Duration: 2.5 years, January June 2002 Total effort & cost: 26 personyears, 2.5+ M EUR EC funding: 1.34 M EUR

Hans AkkermansOn-To-Knowledge3 OTK Partners Free Univ. Amsterdam (VUA, coordinator), NL British Telecom, UK Swiss Life, CH Aidministrator, NL CognIT, NO EnerSearch, SE AIFB Uni-Karlsruhe, D

Hans AkkermansOn-To-Knowledge4 What is Knowledge Management? (1/2) Peter Drucker: Post-capitalist Society (1993) change in the meaning of knowledge Knowledge is the only meaningful resource today. knowledge is now being applied to knowledge “The change in the meaning of knowledge that began 250 years ago has transformed society and economy. Formal knowledge is seen as both the key personal resource and the key economic resource. Knowledge is the only meaningful resource today. The traditional `factors of production' - land (i.e. natural resources), labour and capital - have not disappeared. But they have become secondary. They can be obtained, and obtained easily, provided there is knowledge. And knowledge in this new meaning is knowledge as a utility, knowledge as the means to obtain social and economic results. These developments, whether desirable or not, are responses to an irreversible change: knowledge is now being applied to knowledge.”

Hans AkkermansOn-To-Knowledge5 What is Knowledge Management? (2/2) Identify Plan Acquire Develop Distribute Foster use Maintain, Control quality Dispose Aim of Knowledge Management: Increase the leverage of corporate knowledge, as a key production factor in the organization Increase the leverage of corporate knowledge, as a key production factor in the organization Aim of Knowledge Management: Increase the leverage of corporate knowledge, as a key production factor in the organization Increase the leverage of corporate knowledge, as a key production factor in the organization The knowledge value chain

Hans AkkermansOn-To-Knowledge6 Exploiting World-Wide Information Resources IT, and especially Internet/WWW, have boosted potential for knowledge acquisition and sharing BUT: BUT: information resources are heterogeneous, distributed, semi-structured, & enormous in size HENCE: On-To-Knowledge HENCE: need for KM tools for selective semantic (meaning-oriented) access => On-To-Knowledge Move from keyword search to query answering Move from keyword search to query answering Move upwards in the data-info-knowledge chain Move upwards in the data-info-knowledge chain Vision: knowledge web Vision: toward the next-generation “semantic” (Tim Berners-Lee, W3C) or knowledge web

Hans AkkermansOn-To-Knowledge7 OTK Results (1/2) Tools: Intranet/WWW information extraction Semantic representation & analysis User query access

Hans AkkermansOn-To-Knowledge8 OTK Results (2/2) Methodology Methodology (inputs: e.g. our KE&M book, MIT Press, Cambridge, MA, 2000) Industrial case studies: Industrial case studies: evaluation and feedback OIL: OIL: XML/RDF-based ontology language plus inference layer on top of the web Note: see Chapter 9 for EnerSearch case study on agent communication

Hans AkkermansOn-To-Knowledge9 What is an Ontology? In philosophy: theory of what exists in the world formal description of shared concepts in a domain In IT: 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 Ontology = key technology in semantic information processing Application: knowledge management, e-business

Hans AkkermansOn-To-Knowledge10 OTK Tool Environment and its Use

Hans AkkermansOn-To-Knowledge11 Project Roles of OTK Partners

Hans AkkermansOn-To-Knowledge12 EnerSearch Case Study: Virtual Enterprise (1/3) How to do knowledge transfer via website? How to do knowledge transfer via website? Issue: Issue: hyperlinks or keyword search do not tell you much, and are a waste of time Much better: Much better: you want to ask questions and just get the answer Note: EnerSearch website hyperlink structure does not really help!

Hans AkkermansOn-To-Knowledge13 Can EnerSearch Case Study: What You Can Do (2/3) Annotate documents or webpages with meaning (through ontology) Note: taxonomy or type hierarchy is simple(st) form of ontology Next: semantic clustering of pages gives content- based organization Automatically done by one of the OTK tools: Aidministrator’s WebMaster Note: EnerSearch website ontology gives organization of important topics (Excerpt)

Hans AkkermansOn-To-Knowledge14 EnerSearch Case Study: Preliminary Results (3/3) Author relations Agent subtype structure Interactive generation of subtype intersections (here, e-commerce) Key idea: Key idea: website hyperlinks + ontology = meaningful structure

Hans AkkermansOn-To-Knowledge15 EnerSearch Case Study: Involvement of Shareholders Request to participate in evaluation of OTK tools User query interface tool: ask questions rather than browse or search Test/evaluation feedback to On-To-Knowledge => Improve EnerSearch website as a knowledge transfer medium Ontology helps separate two different meanings of “communication” 2 1