KOS and the Conduct of Science© Straits Knowledge 2011 Knowledge Organisation Systems as Enablers to the Conduct of Science Patrick Lambe.

Slides:



Advertisements
Similar presentations
European Research Policy: from coordination and cooperation to integration and the ERA Dr. Maria Nedeva MIoIR, MBS. The University of Manchester EULAKS.
Advertisements

IPY and Semantics Siri Jodha S. Khalsa Paul Cooper Peter Pulsifer Paul Overduin Eugeny Vyazilov Heather lane.
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall
Mr. Brooks Foundations of Technology.  Students will: ◦ Develop an understanding of the relationships among technologies and connections with other fields.
OASIS Reference Model for Service Oriented Architecture 1.0
An Introduction to Information Systems in Organizations
© Tefko Saracevic, Rutgers University1 digital libraries and human information behavior Tefko Saracevic, Ph.D. School of Communication, Information and.
An Intelligent Broker Approach to Semantics-based Service Composition Yufeng Zhang National Lab. for Parallel and Distributed Processing Department of.
© Anselm SpoerriInfo + Web Tech Course Information Technologies Info + Web Tech Course Anselm Spoerri PhD (MIT) Rutgers University
Data Sources & Using VIVO Data Visualizing Scholarship VIVO provides network analysis and visualization tools to maximize the benefits afforded by the.
© Tefko Saracevic, Rutgers University1 digital libraries and human information behavior Tefko Saracevic, Ph.D. School of Communication, Information and.
Assessing Students’ Skills in Science & Technology Hong Kong University – May 19 th 2006 Graham Orpwood York/Seneca Institute for Mathematics, Science.
Domain Modelling the upper levels of the eframework Yvonne Howard Hilary Dexter David Millard Learning Societies LabDistributed Learning, University of.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
Improving Data Discovery in Metadata Repositories through Semantic Search Chad Berkley 1, Shawn Bowers 2, Matt Jones 1, Mark Schildhauer 1, Josh Madin.
The NSDL Registry Jon Phipps Stuart Sutton Diane Hillmann Ryan Laundry Cornell U. U. of Washington.
JIC ABET WORKSHOP No.4 Guidelines on: II Faculty Survey Questionnaire.
Knowledge and its organisation Capabilities Teaching through knowledge FOR capabilities (i.e. key competencies) Disciplinary knowledge is the basis through.
On Roles of Models in Information Systems (Arne Sølvberg) Gustavo Carvalho 26 de Agosto de 2010.
Data Exchange Tools (DExT) DExT PROJECTAN OPEN EXCHANGE FORMAT FOR DATA enables long-term preservation and re-use of metadata,
Teaching Metadata and Networked Information Organization & Retrieval The UNT SLIS Experience William E. Moen School of Library and Information Sciences.
Fundamentals of Information Systems, Second Edition 1 Information Systems in Organizations.
1 Framework Programme 7 Guide for Applicants
Beyond a Data Portal: A Collaborative Environment for the Deep Carbon Science Communities Han Wang, Yu Chen, Patrick West, John Erickson, Xiaogang Ma,
Performance Technology Dr. James J. Kirk Professor of HRD.
Web Services Experience Language Web Services eXperience Language Technical Overview Ravi Konuru e-Business Tools and Frameworks,
Using ISO/IEC to Help with Metadata Management Problems Graeme Oakley Australian Bureau of Statistics.
Fundamentals of Information Systems, Fifth Edition
Andrew Brasher Andrew Brasher, Patrick McAndrew Userlab, IET, Open University Human-Generated Learning.
Organizing Data and Information AD660 – Databases, Security, and Web Technologies Marcus Goncalves Spring 2013.
Connecting Teachers Can there be models of effective practice for teachers with ICT? Chair: Christine Vincent, Becta Presenter: Margaret Cox King’s College.
Welcome to AP Biology Mr. Levine Ext. # 2317.
Using Taxonomies Effectively in the Organization KMWorld 2000 Mike Crandall Microsoft Information Services
Chapter 1 Defining Social Studies. Chapter 1: Defining Social Studies Thinking Ahead What do you associate with or think of when you hear the words social.
METADATA WORKSHOP Conclusions Keith Jeffery Peter Wittenburg.
Teaching to the Standard in Science Education By: Jennifer Grzelak & Bonnie Middleton.
FEA DRM Management Strategy Presented by : Mary McCaffery, US EPA.
W HAT IS I NTEROPERABILITY ? ( AND HOW DO WE MEASURE IT ?) INSPIRE Conference 2011 Edinburgh, UK.
The New Science of Evolutionary Psychology Chapter 2.
SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.
Breakout # 1 – Data Collecting and Making It Available Data definition “ Any information that [environmental] researchers need to accomplish their tasks”
Domain Modeling In FREMA Yvonne Howard David Millard Hugh Davis Gary Wills Lester Gilbert Learning Societies Lab University of Southampton, UK.
Working Memory and Learning Underlying Website Structure
1 Technical & Business Writing (ENG-715) Muhammad Bilal Bashir UIIT, Rawalpindi.
16/11/ Semantic Web Services Language Requirements Presenter: Emilia Cimpian
Application Ontology Manager for Hydra IST Ján Hreňo Martin Sarnovský Peter Kostelník TU Košice.
Foundations of Information Systems in Business. System ® System  A system is an interrelated set of business procedures used within one business unit.
By: Dr. Mohammed Alojail College of Computer Sciences & Information Technology 1.
KMers as Modern #InfoPros : Integrating the 12 Tasks in an Embedded Position Elizabeth Turner and Spencer Acadia.
Straits Knowledge 2007From Taxonomies to Tagging From Taxonomies to Tagging: developing taxonomy strategies that are appropriate.
Semantics in Web Service Composition for Risk Management Michael Lutz European Commission – DG Joint Research Centre Ispra, Italy EcoTerm IV, Vienna,
Fundamentals of Information Systems, Sixth Edition Chapter 1 Part A An Introduction to Information Systems in Organizations.
Modernizing Official Statistics 1. PURPOSE OF OFFICIAL STATISTICS The purpose of official statistics is to produce and disseminate authoritative results.
Semantics and the EPA System of Registries Gail Hodge IIa/ Consultant to the U.S. Environmental Protection Agency 18 April 2007.
Knowledge Organisation Competency Survey ISKO SG – 11 March 2016 Matt Moore Patrick Lambe.
The Agricultural Ontology Server (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Food and Agriculture Organization.
The Role of Semantics and Terminologies in a Service-Oriented Architecture Paul Smits, Michael Lutz European Commission – DG Joint Research Centre Ispra,
Intellectual Merit & Broader Impact Statements August 2016
The Semantic Web By: Maulik Parikh.
Conceptualizing the research world
Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall
Implementing Knowledge Management in Organization
Distribution and components
Intellectual Merit & Broader Impact Statements August 2018
An ecosystem of contributions
Continuity Guidance Circular Webinar
Three Uses for a Technology Roadmap
Intellectual Merit & Broader Impact Statements August 2017
The Digital Library for Earth System Education (DLESE):
Intellectual Merit & Broader Impact Statements August 2019
Presentation transcript:

KOS and the Conduct of Science© Straits Knowledge 2011 Knowledge Organisation Systems as Enablers to the Conduct of Science Patrick Lambe

2 KOS and the Conduct of Science© Straits Knowledge 2011 Knowledge Organisation & Science “To organise knowledge is to gather together what we know into a comprehensive organised structure, to show its parts and their relationships. This is the work of scholars and encyclopaedists. It is not the role of the information profession. Our tasks are to make knowledge (whether organised or unorganised) available to those who seek it, to store it in an accessible way, and to provide tools and procedures that make it easier for people to find what they seek in those stores.” ‘On Knowledge Organisation’ 2008

3 KOS and the Conduct of Science© Straits Knowledge 2011 Two Assumptions 1.Separation between scholars and information professionals 2.Knowledge organisation mainly supports search and discovery

4 KOS and the Conduct of Science© Straits Knowledge 2011 Pursuing Science Three essentials for the conduct of science: Consistent ways of describing science Conspectus across scientific domains Continuity between science memory, science activity, and new knowledge creation “ The ability to achieve innovation in a competitive global information society hinges on the capability to swiftly and reliably find, understand, share, and apply complex information from widely distributed sources for discovery, progress, and productivity. ” (Interagency Working Group on Digital Data, 2009).

5 KOS and the Conduct of Science© Straits Knowledge 2011 KOS & Conduct of Science KOS: Standardises language Structure shows connections and relationships Enables sensemaking

6 KOS and the Conduct of Science© Straits Knowledge 2011 Knowledge Organisation in Science Linnaeus Rules for lexical stabilization enabled coordination Meaningful structure prefigured evolutionary theory Mendeleev Sensemaking structure - periodic table prompted hypotheses about gaps and relationships between elements, supported new discoveries

7 KOS and the Conduct of Science© Straits Knowledge 2011 Orders of Complexity in KOS 1. Controlled vocabularies 2. Taxonomies 3. Ontologies 4. Mechanisms for collecting emerging language Eg. folksonomies, topic maps

8 KOS and the Conduct of Science© Straits Knowledge 2011 Five Principles 1.The complexity of a KOS needs to match the complexity of the domain it attempts to describe, and the complexity of the coordination, connection and sensemaking work it needs to support. 2.When the complexity of the KOS exceeds human cognitive capabilities, designed interfaces using taxonomies are necessary to serve the working needs of users in their own normal working contexts. 3.It is not sufficient to use semantic technology to describe science activity. This does not get at all the functions of a KOS. Linnaeus and Mendeleev had the impact they had, because they engaged in a work of design, not simply description. 4.A KOS that effectively supports the conduct of science must be able to identify, observe and represent informal social activity and relationships beyond the boundaries of traditional formal outputs and records of science activity 5.A KOS that effectively supports the conduct of science must be able to observe and connect formal and informal activity streams, using designed taxonomy structures and visualization tools as ‘human-oriented middleware’ between emerging new language and concept usage, and existing ontologies.

9 KOS and the Conduct of Science© Straits Knowledge 2011 Case Study: STAR METRICS Linking researcher profiles with products of their research and administrative records data on science funding requires a KOS-like data infrastructure Nature March 2010

10 KOS and the Conduct of Science© Straits Knowledge 2011 Implications KOS innovation driven by information technology Marginal/ passive roles, IT threatens to replace our logistics function Suddenly popular - knowledge organisation problems need our skill sets Marginal again - organisations have absorbed what they need and moved on

11 KOS and the Conduct of Science© Straits Knowledge 2011 Any Questions?