Presentation on theme: "Dublin Core Metadata Initiative Stuart Weibel OCLC Office of Research Director, Dublin Core Metadata Initiative."— Presentation transcript:
Dublin Core Metadata Initiative Stuart Weibel OCLC Office of Research Director, Dublin Core Metadata Initiative
2 Presentation Outline Introduction to Metadata Dublin Core Metadata Initiative Metadata Registries Syntax Alternatives for Web Metadata A Few Strategic Applications
Introduction to Metadata
4 The Web as an Information System Search systems are motivated by business models, not user needs Index coverage is unpredictable and limited Too much recall, too little precision Index spam abounds Resources (and their names) are volatile Archiving is presently unsolved Authority and quality of service are spotty Managing intellectual property rights is hard
5 Metadata: Part of a Solution Structured data about data –Organization and management of content –Support discovery –Direct content in channels –Enable automated discovery/manipulation
6 Internet Commons includes Multiple Communities Scientific Data Home Pages Geo Internet Commons Library Museums Commerce Whatever...
7 Interoperability requires conventions about: Semantics –The meaning of the elements Structure –human-readable –machine-parseable Syntax –grammars to convey semantics and structure
8 Havent we done metadata already? The MARC family of standards is the single most successful resource description standard in the world
9 Whats wrong with this model on the Web? Expensive –Complex –Professional catalogers required Bias towards bibliographic artifacts –Fixed resources –Incomplete handling of resource evolution and other resource relationships Anglo-centric –MARC 21 accounts for ¾ of MARC records, but there are other varieties
Dublin Core Metadata Initiative
11 History of the Dublin Core 1994: Simple tags to describe Web pages 1995: The Dublin Core is one of many vocabularies needed ("Warwick Framework") 1996: The Dublin Core: 13 elements expanded to 15 - appropriate for Text and Images 1997: WF needs formal expression in a Resource Description Framework (RDF) 2000: Dublin Core Metadata Initiative recommends qualifiers, broadens its organizational scope beyond the Core
12 Dublin Core Metadata Initiative The mission of DCMI is to make it easier to find resources using the Internet through the following activities: –Developing metadata standards for discovery across domains (example: the Dublin Core) –Defining frameworks for the interoperation of metadata sets –Facilitating the development of community or disciplinary specific metadata sets
13 DCMI Organizational Structure Liaison Usage Board Standards Development WGs Infrastructure WGs User Support and Education WGs Advisory Board DCMI Subscribers DCMI Activity Areas Board of Trustees Executive Director Managing Director Directorate
14 DCMI Activities Standards development and maintenance Metadata registry and infrastructure Technical working groups and periodic workshops Tutorial materials and user guides Education and training Open source software Liaisons with other standards or user communities
15 Unqualified Dublin Core is the Pidgin metadata language Metadata is language Dublin Core is a small and simple language -- a pidgin -- for finding resources across domains using the internet. Speakers of different languages naturally "pidginize" to communicate
16 Qualifiers and Domain-specific Extensions The Dublin Core architecture supports more sophisticated metadata solutions through the addition of: –Qualifiers –Domain-specific extensions –Application Profiles of involving mixed namespaces (more on this later) Increased sophistication comes at the cost of some degree of interoperability
17 Varieties of Qualifiers: Value Encoding Schemes Says that the value is –a term from a controlled vocabulary (e.g., Library of Congress Subject Headings) –a string formatted in a standard way (e.g., " " means May 2, not February 5) Even if a scheme is not known by software, the value should be "appropriate" and usable for resource discovery.
18 Varieties of qualifiers: Element Refinements Make the meaning of an element narrower or more specific. –a Date Created versus a Date Modified –an IsReplacedBy Relation versus a Replaces Relation If your software does not understand the qualifier, you can safely ignore it.
19 A Grammar of Dublin Core By design not as subtle as mother tongues, but easy to learn and useful in practice Pidgins: small vocabularies (Dublin Core: fifteen special nouns and lots of optional adjectives) Simple grammars: sentences (statements) follow a simple fixed pattern...
Resourcehasproperty DC:Creator DC:Title DC:Subject DC:Date... X implied subject implied verb one of 15 properties property value (an appropriate literal) [optional qualifier] qualifiers (adjectives)
22 Dumb-Down Principle for Qualifiers The fifteen elements should be usable and understandable with or without the qualifiers Qualifiers refine meaning (but may be harder to understand) Nouns can stand on their own without adjectives If your software encounters an unfamiliar qualifier, look it up -- or just ignore it!
23 Using DC with other vocabularies Specialized application profiles may need to: –Use general-purpose Dublin Core elements –Use elements from another, more domain-specific standard –Narrow standard definitions of DC elements for specific local uses –Invent local elements outside the scope of existing standards
24 What is an Application Profile? A metadata schema incorporating a set of elements from one or more metadata element sets A set of policies defining how the elements should be applied to the domain of the application A set of guidelines that make the policies concerning elements explicit
25 Application Profiles and Namespaces Namespaces declare terms and definitions –Dublin Core namespace = Dublin Core standard Application profiles re-use terms from one or more namespaces –May package terms from multiple namespaces –May adapt definitions to local purposes –All terms must be defined in namespaces –May include locally defined namespaces
27 Adapting standard definitions to local uses Dublin Core Namespace: –DC:Title - machine-readable name of an element –"Title: A name given to the resource" -- human-readable name and definition Collection Description Profile (UKOLN) –DC:Title - name reused from the DC namespace –"Title: A name given to the collection" Definition is modified for the application context Local adaptations should not change semantics of the element definition, but rather, clarify it within a local context
28 Namespaces and Translation Dublin Core has been translated into 26 languages –machine-readable tokens are shared by all –human-readable labels are defined in different languages –translations are distributed, maintained in many countries –eventually linked in DCMI registry
29 One concept identifier – with labels in many languages dc:creator Verfasser rdfs:label [German] Pencipta rdfs:label [Indonesian] Creator rdfs:label [English]
Metadata Registries: Dictionaries of Metadata terms and Usage
31 Metadata is language Metadata schemas are languages for making statements about resources: –Book has Title "Gone with the Wind". –Web page has Publisher "Springer Verlag". Vocabulary terms (elements) are defined in standards like Dublin Core Metadata grammars constrain the statements and data models one can form
32 Metadata languages are Multilingual Metadata is not a spoken language The words of metadata -- "elements" -- are symbols that stand for concepts expressible in multiple natural languages Standards may have dozens of translations Are concepts like "title", "author", or "subject" used the same way in English, Finnish, and Korean?
33 Languages Evolve With Use Inevitably, languages resist stability People stretch official definitions Implementers misunderstand the intended meaning or use of elements Implementors coin local terms and extensions If the application does not fit the standard, the standard is often "customized" to fit the application
34 How do we manage this evolution? How can we monitor the usage of a language that is: –Never spoken? –Rarely published in a way that can be harvested? How can dictionary editors help a metadata language evolve and grow in response to usage? How can this evolution occur across (human) languages?
35 RDF Schemas (RDFS) -- W3C standard A dictionary format for metadata terms: –Simple XML format for namespaces, terms and definitions Example: "Title" (Dublin Core) –Human-readable label and definition: Title: A name given to the resource. –Unique, machine-readable identifiers dc:title Support for cross-references –Between multiple language renditions of a namespace –between terms in related standards –between local adaptations and related standards
36 Registries can function as dictionaries Metadata dictionaries can help metadata vocabularies evolve more like other human languages –Not just top-down, like traditional standards –Also bottom-up, in response to usage
37 DCMI – Metadata Registry Stores official metadata element definitions in a central database or repository Managing a namespace (as a standards agency): publish qualifiers as available, with version control –Managing translations of the standard in multiple languages Eventually: –User guide interface –Support for standardisation processes (peer review) –Downloadable input to software tools for generating, editing, validating DC metadata
38 Dictionaries as a tool for harmonization Knowledge of how other projects are using standards will avoid "reinventing the wheel" To help information providers harmonize their schemas for improved access within domains: –Between countries (Nordic Metadata Project) –Preprint repositories (Open Archives Initiative) –Subject gateways (Renardus) –Theses and dissertations (NDLTD) –Mathematics and physics (MathNet, PhysNet)
39 A global registry infrastructure? RDF Schema format suggests a scalable ecology of metadata vocabularies on the Web Sharing machine-readable elements translated into many languages suggests a global (multilingual) metadata language for digital libraries Can a well-managed registry infrastructure allow this language to evolve -- with flexible innovation in usage alongside more stable standards?
40 EOR -- an RDF Toolkit for Schema Infrastructure Harvests RDF Schemas –Schemas distributed on multiple Web servers –Creates huge database of schemas for searching –Web interface functions as a "metadata browser" –Click on cross-references between linked terms Downloadable as open source software –http://eor.dublincore.org/
41 EOR Toolkit Integrate RDF components for supporting search services, topic-maps, site-maps, annotation environments and semantic metadata registries Base-level functionality of this toolkit includes: –Creation, deletion, and management of RDF databases. –Ability to infuse RDF instance data into RDF databases. –Ability to search RDF databases. –Generic interface design capabilities to support RDF applications. –Web interface functions as a "metadata browser Open Source:
Syntax Alternatives for Web Metadata
43 Syntax Alternatives: HTML Advantages: –Simple Mechanism – META tags embedded in content –Widely deployed infrastructure (the Web) –Public domain tools Disadvantages –Limited structural richness (wont easily support hierarchical,tree-structured data or entity distinctions ).
44 Syntax Alternatives: XML The standard for networked text and data Wide-spread tool support –Parsers (DOM and SAX) –Extensibility (namespaces) –Type definition (XML Schema) –Transformation and Rendering (XSLT) –Rich linking semantics (XLINK)
45 XML DTDs Works, but… DTDs are a stopgap measure –Extensibility is problematic –Many ways to say the same thing (too much flexibility) –Interoperability must be pre-coordinated –DTDs cannot evolve gracefully –Granularity is at the level of the DTD
46 XML Schemas Rich XML-based language for expressing type semantics Replaces arcane and limited DTD (origin in SGML) Facilities –Data typing (both complex and primitive) –Constraints –Defaults
47 Syntax Alternatives: RDF RDF (Resource Description Format) The instantiation of the Warwick Framework on the Web Rich data model supporting notions of distinct entities and properties Syntax expressed in XML Granularity is at the level of the element, not the entire schema as with XML DTDs
48 RDF Components RDF Model and Syntax WG –Formal data model –Syntax for interchange of data RDF Schema (RDFS) –Type system (schema model)
49 RDF Schemas Declaration of vocabularies –properties defined by a particular community –characteristics of properties and/or constraints on corresponding values Schema Type System - Basic Types –Property, Class, SubClassOf, Domain, Range –Minimal (but extensible) at this time –minimize significant clashes with typing system designed for XML Schema WG Expressible in the RDF model and syntax
50 RDF: In Summary RDF Metadata transmission –Embedded (e.g. ), Transmitted with resource (HTTP), or from a trusted 3rd Party RDF Data Model –Support consistent encoding, exchange and processing of metadata… critical when aggregating data from multiple sources RDF Schema –Declare, define, reuse vocabularies
51 Unresolved Issues Concerning RDF and XML Schemas RDF Schemas and XML Schemas have overlapping functionality –XML Schemas provide strong data typing, but also supports semantic specifications –RDF is focused on semantic data model and extensible namespace management Resolution of overlap and market acceptance will determine the future of each Semantic Web Activity in the W3C Chartered to address such issues:
A Few Strategic Projects
53 Open Archives Initiative Protocols to support alternative scholarly publishing solutions: Federated repositories for: –ePrints –Libraries –Publishers OAI archives may contain full text or surrogates (metadata) Metadata harvesting protocols
54 OAI archives will use specific metadata sets and formats that suit the needs of their communities and the types of data they handle. However, interoperability depends on a shared format for exchanging metadata and therefore archives should implement the basic Open Archives Metadata Set. OAI Metadata
55 Adoption of unqualified Dublin Core Element Set as required metadata. Support for parallel metadata sets maintained –EPMS (e-print community) –Others Research library community Museum community OAI Metadata Solutions
56 Renardus Project (EU) –National libraries (Netherlands coordinates) –NDR: National Digital Resource in UK –Die Deutsche Bibliothek Goal: integrated access to subject gateways in Europe High-level agreement on simple, Dublin- Core-based schema as common denominator
57 Networked Digital Library of Theses and Dissertations (NDLTD) International consortium of projects putting dissertations online NDLTD agreement on a small Dublin-Core- based set of metadata elements with extensions to support application-specific needs /current.html
58 PRISM Publishing Requirements for Industry Standard Metadata PRISM XML metadata standard for syndicating, aggregating, post-processing and multi-purposing content from magazines, news, catalogs, books and mainstream journals. Uses DC and its relation types as the foundation for its metadata Adobe, Time, Inc, Getty Images, Conde Nast, Sothebys, Interwoven….
59 Rich Site Summary (RSS) Metadata for content syndication (news feeds) Used in developing media content portals Built on established vocabularies (DC), using RDF syntax Layers of application-specific semantics: syndication vocabularies, annotation vocabularies, etc.
60 For further information.... "Metadata Watch Reports" of SCHEMAS Project, –Critical overview (with expert commentary) on the metadata landscape as it evolves –Related database of individual activity reports D-Lib Magazine, Ariadne, DCMI Homepage,
61 DC-2001 DC-2001 in Tokyo – October 22-26, 2001 Three tracks: –Technical working group meetings –Implementation reports and research papers –General introduction and tutorials for non- experts
62 How to Participate Join the DC-General mailing list Join a working group Create a working group Information on lists and working groups is available at