©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories 20020823 1 Comparative Study of Metadata for Scientific Information: The Place of CERIF.

Slides:



Advertisements
Similar presentations
©euroCRIS/Keith G JefferyOA Workshop May 2010 CNR Roma The euroCRIS view of the Rome OA Workshop Keith G Jeffery President, euroCRIS
Advertisements

Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
Open repositories: value added services The Socionet example Sergey Parinov, CEMI RAS and euroCRIS.
© Keith G Jeffery, Anne G S Asserson GL6: New York: December 2004: IP & Corporate Context Relating Intellectual Property Products to the Corporate.
© Keith G Jeffery, Anne G S Asserson GL7: Nancy: December Grey in the R&D Process Keith G Jeffery Director, IT CCLRC
© Keith G Jeffery, Anne G S Asserson GL 11 Washington Keith G Jeffery Director, IT & International Strategy, STFC
© Keith G Jeffery, Anne G S Asserson GL 10 Amsterdam Keith G Jeffery Director, IT & International Strategy, STFC
© Keith G Jeffery, Anne G S Asserson GL New Orleans Hyperactive Grey Objects Keith G Jeffery Director, IT & International Strategy CCLRC.
OAForum – September 2003 Muriel Foulonneau Open Archives Initiatives Protocol for Metadata Harvesting Practices for the cultural heritage sector Muriel.
An overview of collection-level metadata Applications of Metadata BCS Electronic Publishing Specialist Group, Ismaili Centre, London, 29 May 2002 Pete.
The CERIF-2000 Implementation. Andrei S. Lopatenko CERIF Implementation Guidelines Andrei Lopatenko Vienna University of Technology
1 Technical Developments Related to Quality Issues Brian Kelly UK Web Focus UKOLN University of Bath Bath, BA2 7AY
©CLRC/ITD/Keith G JefferyGRIDsN+N:San Francisco The Information and Knowledge Layers of the GRIDs Architecture Keith G Jeffery Director, IT.
Dr Gordon Russell, Napier University Unit Data Dictionary 1 Data Dictionary Unit 5.3.
Helping people find content … preparing content to be found Enabling the Semantic Web Joseph Busch.
Andrei Lopatenko. CERIF Task Group CERIF TG Report 2001-Marth 2002 results Plans for 2002.
Search Engines and Information Retrieval
COMP 6703 eScience Project Semantic Web for Museums Student : Lei Junran Client/Technical Supervisor : Tom Worthington Academic Supervisor : Peter Strazdins.
ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.
CERIF-CRIS Overview Keith G Jeffery
The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.
Ontology-based Access Ontology-based Access to Digital Libraries Sonia Bergamaschi University of Modena and Reggio Emilia Modena Italy Fausto Rabitti.
1 Metadata Data Foundation and Terminology RDA-P5 San Diego - Keith Jeffery.
Metadata: Its Functions in Knowledge Representation for Digital Collections 1 Summary.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
CONTI’2008, 5-6 June 2008, TIMISOARA 1 Towards a digital content management system Gheorghe Sebestyen-Pal, Tünde Bálint, Bogdan Moscaliuc, Agnes Sebestyen-Pal.
CRIS + Repositories: Setting the Scene Keith G Jeffery President euroCRIS
© Keith G Jeffery & Anne AssersonCERIF Course: Data Model CERIF COURSE Session3: DataModel 1 Keith G Jeffery, Director, IT CLRC
CERIF: Past, Present and Future 1 An Overview Anne Asserson, UiB (NO) Keith G Jeffery, CLRC (UK) Andrei Lopatenko, MU (UK) Kassel, 29 – 31 August 2002.
Teaching Metadata and Networked Information Organization & Retrieval The UNT SLIS Experience William E. Moen School of Library and Information Sciences.
Search Engines and Information Retrieval Chapter 1.
An Overview of the Research Information Metadata Ecosystem Prof Keith G Jeffery ©Keith G JefferyAn Overview.
©euroCRIS/Keith G JefferyCRIS Seminar Brussels Discussion Topics Keith G Jeffery President, euroCRIS
Metadata and Geographical Information Systems Adrian Moss KINDS project, Manchester Metropolitan University, UK
Web Metadata, what is it? Ora Lassila Visiting Scientist (from Nokia) Definition Applications Current Standardization Efforts.
©STFC/Keith G Jeffery The value of recording each step of the research process The Value of Recording each Step of the Research Process Keith.
Lifecycle Metadata for Digital Objects (INF 389K) September 18, 2006 The Big Metadata Picture, Web Access, and the W3C Context.
EU Project proposal. Andrei S. Lopatenko 1 EU Project Proposal CERIF-SW Andrei S. Lopatenko Vienna University of Technology
19/10/20151 Semantic WEB Scientific Data Integration Vladimir Serebryakov Computing Centre of the Russian Academy of Science Proposal: SkTech.RC/IT/Madnick.
©Keith G Jeffery/ Anne AssersonSupporting the Research Process with a CRIS CRIS Supporting the Research Process with a CRIS Keith G Jeffery Director.
Metadata. Generally speaking, metadata are data and information that describe and model data and information For example, a database schema is the metadata.
1 Schema Registries Steven Hughes, Lou Reich, Dan Crichton NASA 21 October 2015.
Towards a semantic web Philip Hider. This talk  The Semantic Web vision  Scenarios  Standards  Semantic Web & RDA.
1 Metadata –Information about information – Different objects, different forms – e.g. Library catalogue record Property:Value: Author Ian Beardwell Publisher.
6.1 © 2010 by Prentice Hall 6 Chapter Foundations of Business Intelligence: Databases and Information Management.
Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.
Metadata Schema for CERIF Andrei Lopatenko Vienna University of Technology
Strategy / External Relations Athens, 10th May 2009 Anne Asserson.
From small beginnings: Developing collection level description Mapping the Information Landscape Showcase day British Library Conference Centre, London,25.
Keith G Jeffery Director, IT What does a CRIS add to Open Access Publications ?
Oreste Signore- Quality/1 Amman, December 2006 Standards for quality of cultural websites Ministerial NEtwoRk for Valorising Activities in digitisation.
Auditing Grey in a CRIS Environment
Working with Ontologies Introduction to DOGMA and related research.
Intellectual Works and their Manifestations Representation of Information Objects IR Systems & Information objects Spring January, 2006 Bharat.
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.
The RDF meta model Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations of XML compared.
Metadata : an overview XML and Educational Metadata, SBU, London, 10 July 2001 Pete Johnston UKOLN, University of Bath Bath, BA2 7AY UKOLN is supported.
Issues in Ontology-based Information integration By Zhan Cui, Dean Jones and Paul O’Brien.
© Keith G Jeffery & Anne AssersonCERIF Course: Use of CERIF CERIF COURSE Session2: Use of CERIF Keith G Jeffery, Director, IT CLRC
Surveying the landscape: collection-level description & resource discovery JISC/NSF DLI Projects meeting, Edinburgh, 24 June 2002 Pete Johnston UKOLN,
©Keith G Jeffery/ Anne AssersonCRIS: Central Relating Information System CRIS CRIS: Central Relating Information System Keith G Jeffery Director.
1 The Metadata Groups - Keith G Jeffery. 2 Positioning  Raise profile of metadata  Data first  Also software, resources, users  Achieve outputs/outcomes.
1 Metadata Standards and Applications Introduction: Background, Goals, and Course Outline Original course design by Diane I. Hillmann, Cornell University.
©CLRC/ITD/Keith G JefferyEU GRIDs Activity: Information Issues 30 April EU GRIDs Activity: Information Issues Keith G Jeffery, Director, IT & Head,
©CLRC/ITD/Keith G JefferyEuroCRIS May 2001: Introduction to GRIDs May Introduction to GRIDs Keith G Jeffery Director, IT & Head, ITD
Introduction To DBMS.
2. An overview of SDMX (What is SDMX? Part I)
LOD reference architecture
Presentation transcript:

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Comparative Study of Metadata for Scientific Information: The Place of CERIF in CRISs & Scientific Repositories Keith G Jeffery, Director, IT CLRC Andrei Lopatenko, Manchester University Anne Asserson, University of Bergen

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Series of Presentations CERIF: Past, Present and Future: An Overview Anne Asserson, Andrei Lopatenko, Keith Jeffery CERIF - Information Retrieval of Research Information in a Distributed Heterogeneous Environment Andrei Lopatenko, Keith Jeffery, Anne Asserson Comparative Study of Metadata for Scientific Information: The place of CERIF in CRISs and Scientific Repositories Keith Jeffery, Andrei Lopatenko, Anne Asserson

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories STRUCTURE DATA, INFORMATION & KNOWLEDGE DATA DELUGE, INFORMATION EXPLOSION AND METADATA USAGE OF METADATA IN CRISs METADATA AND CERIF CONCLUSIONS AND RECOMMENDATIONS

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories DATA, INFORMATION & KNOWLEDGE Data DATA : –representation of observation of real world –A lexical string of characters or symbols

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories INFORMATION : –USA: 3 rd June 2002, –UK:6 th March 2002 Instead use: –Data : –Metadata: yyyymmdd : a ‘format template’ Date : a type –Structured data in context DATA, INFORMATION & KNOWLEDGE Information

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories KNOWLEDGE –Theories or hypotheses –Representation of: Facts (i.e. information) Rules (when a, if b, then x, else y) –Processing of them by inference: Deduction, induction, abduction –Commonly accepted justified belief DATA, INFORMATION & KNOWLEDGE Knowledge

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Start-Time Departureairport Flight Arrivalairport End-Time 0800 LHR BA123 FRA LHR BA125 FRA LHR BA127 FRA LHR BA129 FRA 1300 Etc etc 1800 LHR BA137 FRA 2000 DATA, INFORMATION & KNOWLEDGE Knowledge: Facts

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Start-Time Departureairport Flight Arrivalairport End-Time 0800 LHR BA123 FRA LHR BA125 FRA LHR BA127 FRA LHR BA129 FRA 1300 Etc etc 1800 LHR BA137 FRA 2000  between 0800 and 1800  every hour, on the hour  a BA flight leaves LHR for FRA INDUCTION (data mining) DATA, INFORMATION & KNOWLEDGE Knowledge: Induction

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Collecting Observed Facts DATA DATA, INFORMATION & KNOWLEDGE Putting it together

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Structuring in Context DATA INFORMATION DATA, INFORMATION & KNOWLEDGE Putting it together

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Inducing commonly accepted belief DATA INFORMATION KNOWLEDGE DATA, INFORMATION & KNOWLEDGE Putting it together

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Value-Adding for Business Needs DATA INFORMATION KNOWLEDGE INSIGHT DATA, INFORMATION & KNOWLEDGE Putting it together

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories STRUCTURE DATA, INFORMATION & KNOWLEDGE DATA DELUGE, INFORMATION EXPLOSION AND METADATA USAGE OF METADATA IN CRISs METADATA AND CERIF CONCLUSIONS AND RECOMMENDATIONS

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories DATA DELUGE, INFORMATION EXPLOSION AND METADATA Technology Capacity Communications –2.4Kb/s  20Gb/s in 30 years 2 * 10 6 Online Storage –1.2 Mb  40 Gb in 30 years 4 * 10 4 Processor Speed increased even more With acknowledgements to

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories e-Science –Petabytes per year –Particle Physics –Space Science –Genomics e-Information –Terabytes per year –Eprints –Hyperlinked data –Hypermedia e-Learning e-Business With acknowledgements to CLRC/BITD/PS DATA DELUGE, INFORMATION EXPLOSION AND METADATA Application Areas

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories WWW (1989) DATA DELUGE, INFORMATION EXPLOSION AND METADATA Technology Takeup

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Much of this data is inaccessible Need to be able to –Find relevant data as information –Understand it : syntax, semantics –Understand any restrictions on its use data required METADATA DATA DELUGE, INFORMATION EXPLOSION AND METADATA Data & Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Metadata is data about data Metadata to one application is data to another Application1Application2 DATA DELUGE, INFORMATION EXPLOSION AND METADATA Data & Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories data (document) SCHEMANAVIGATIONALASSOCIATIVE how to get it constrain it view to users DATA DELUGE, INFORMATION EXPLOSION AND METADATA Three Kinds of Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories intensional description of extensional instances –database: name size security authorisations –attributes: name type constraints formal logic relationship to data instances DATA DELUGE, INFORMATION EXPLOSION AND METADATA Metadata Kinds: Schema

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories data (document) SCHEMANAVIGATIONALASSOCIATIVE how to get it constrain it view to users DATA DELUGE, INFORMATION EXPLOSION AND METADATA Three Kinds of Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories How to get to information resource direct –filename –DB name + navigational algorithm –DB name + predicate (query) –URL –URL + predicate (query) or any of the above via –web indexing system (eg AltaVista, ExCite…) –local indexing system bookmarks or proxy server) DATA DELUGE, INFORMATION EXPLOSION AND METADATA Metadata Kinds: Navigational

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories data (document) NAVIGATIONAL how to get it SCHEMA constrain it ASSOCIATIVE view to users DATA DELUGE, INFORMATION EXPLOSION AND METADATA Three Kinds of Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories information for application assistance –catalog record (e.g. Dublin Core) - descriptive –content rating (e.g. PICS) - restrictive –security, privacy (cryptography, digital signatures) - restrictive –information from dictionaries, thesauri, hyperglossaries, domain ontologies - supportive no formal logic relationship to data instances DATA DELUGE, INFORMATION EXPLOSION AND METADATA Metadata Kinds: Associative

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories STRUCTURE DATA, INFORMATION & KNOWLEDGE DATA DELUGE, INFORMATION EXPLOSION AND METADATA USAGE OF METADATA IN CRISs METADATA AND CERIF CONCLUSIONS AND RECOMMENDATIONS

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Data quality Access Understanding answers Improving Queries Interoperability with other CRISs Interoperability with other Systems e.g. –Local management information systems –Bibliographic systems –Scientific data systems USAGE OF METADATA IN CRISs Benefits

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories All CRISs based on –DB SYSTEM –IR SYSTEM Have schema metadata It may not be sufficient –To ensure integrity –To provide rich enough program interface –To ensue integrity in foreign key - primary key linkage to associated CRISs or other systems SCHEMA constrain it USAGE OF METADATA IN CRISs Schema Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories NAVIGATIONAL how to get it ‘Base CRISs’ may have navigational metadata –If provide raw information only: no –If provide URLs to e.g. publications, scientific datasets: yes ‘Meta-CRISs’ which act as catalogues or indexes to other CRISs do have navigational metadata USAGE OF METADATA IN CRISs Navigational Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories AdM –Associative descriptive ArM –Associative restrictive AsM –Associative supportive ASSOCIATIVE view to users USAGE OF METADATA IN CRISs Associative Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories CRISs have AdM if –Provide summary record of >= 1 { | | } and point to detailed records –The AdM provides machine-readable (syntax) and machine-understandable (semantics) information ASSOCIATIVE view to users USAGE OF METADATA IN CRISs Associative descriptive Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories CRISs have ArM if –Provide separate metadata record with information on access rights, copyright, IPR, 3 rd party liability disclaimer, pricing –The ArM provides machine-readable (syntax) and machine-understandable (semantics) information ASSOCIATIVE view to users USAGE OF METADATA IN CRISs Associative restrictive Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories CRISs have AsM if –Provide >= 1 {dictionary | hyperglossary | thesaurus | domain ontology} –The AsM provides machine-readable (syntax) and machine-understandable (semantics) information and / or knowledge ASSOCIATIVE view to users USAGE OF METADATA IN CRISs Associative supportive Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories USAGE OF METADATA IN CRISs Typical CRIS and Metadata  Metadata for whole collection of base CRIS data records  Metadata for data record in base CRIS  Metadata within base CRIS Data schemanavigational associative Other data system

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories STRUCTURE DATA, INFORMATION & KNOWLEDGE DATA DELUGE, INFORMATION EXPLOSION AND METADATA USAGE OF METADATA IN CRISs METADATA AND CERIF CONCLUSIONS AND RECOMMENDATIONS

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories METADATA & CERIF The CERIF Models Metadata Model Export Model Full CRIS Model CRIS C CRIS B CRIS A

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories Metadata Model Designed in from the start –Schema and navigational metadata defined –AdM : e.g. to be used as catalog in ERGO –AsM : e.g. controlled lists of terms Also designed to assist evolution of further linkages –Flexible ‘articulated’ structure –Links (metadata within records) to e.g. bibliographic, scientific datasets METADATA & CERIF The CERIF Metadata Model

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories AdM : provide crosswalks from CERIF Metadata Standard to: –Dublin Core (at least formalised version) –Other relevant standards as they emerge –Using RDF, XML-Schema –Coded in XML METADATA & CERIF CERIF: What Next? : Associative descriptive Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories ArM: define metadata standard taking into account existing ones –Access rights –IPR, copyright, right to use –3 rd party liability disclaimer –Charges XrML ? (PARC, Palo Alto) METADATA & CERIF CERIF: What Next? : Associative restrictive Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories AsM : take current work on formal domain ontologies and push further –Using pre-existing ontologies when relevant –Providing crosswalks to related ontologies DAML/OIL METADATA & CERIF CERIF: What Next? : Associative supportive Metadata

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories STRUCTURE DATA, INFORMATION & KNOWLEDGE DATA DELUGE, INFORMATION EXPLOSION AND METADATA USAGE OF METADATA IN CRISs METADATA AND CERIF CONCLUSIONS AND RECOMMENDATIONS

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories CONCLUSIONS & RECOMMENDATIONS CERIF: Good Basis CERIF already provides a good metadata standard –Formally defined –Proper subset of export and full CRIS models –Recognised by EU

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories CERIF Metadata already provides to a large extent the facility for: –Data quality –Access –Understanding answers –Improving Queries –Interoperability with other CRISs –Interoperability with other Systems e.g. Local management information systems Bibliographic systems Scientific data systems CONCLUSIONS & RECOMMENDATIONS CERIF Metadata Provides

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories But can do more –Improvements proposed earlier –Plenty of scope for ideas, enthusiasm euroCRIS CERIF Task Group CONCLUSIONS & RECOMMENDATIONS More can be done

©CLRC/BITD/Keith G JefferyCERIF in CRISs & Scientific Repositories CONCLUSIONS & RECOMMENDATIONS CERIF Metadata: Use It! hieroglyphics demotic greek CERIF METADATA Is developed to assist: Quality Understanding (answers) Precision (queries) Interoperability Of CRISs With acknowledgements to the British Museum