cornell cs 502 metadata for the web issues and simple answers cs 502 – 20030219 carl lagoze –...

Cornell CS 502

Metadata for the WebIssues and Simple Answers

CS 502 – 20030219Carl Lagoze – Cornell University

Cornell CS 502

“Metadata is data about data”

Cornell CS 502

Metadata is semi-structured data conforming to commonlyagreed upon models, providing operational interoperability

in a heterogeneous environment

Cornell CS 502

Some untested hypotheses

• Metadata is useful for…– People– Machines

• More metadata is better• (semi) automated digital libraries and simple

metadata

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Some known facts

• Number and variety of metadata vocabularies will continue to increase

• The Tower of Babel is a franchise– There is not one common view of reality

• “The one thing I know about metadata is that it is expensive” (Bill Arms)

• “I hate metadata projects because they make every other digital library project more expensive” (Michael Lesk)

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Are metadata and data distinguishable?

• Objectivity?• Intellectual property?• Structure?• Aboutness?

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The fiction of classification

…there is no classification of the universe that is not fictional and

conjectural.

Jorge Luis Borges

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Lenses and Views

• All classification does and should provide a biased lens or view of reality

• Each view emphasizes certain characteristics and hides others

GeospatialRights

Museum

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Reality is Complex

Created by:George Castaldo

Created on:1994

Created by:Leonardo da Vinci

Created on:1506

Relationship?

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Objects are Related

IFLA Entity Model

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Entities, Events, and Agents

Photographer

Camera type Software

Computer artist

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Haven’t we done metadata already?

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What’s wrong with this model?

• Expensive– Complex (even for its original goal?) – Professional intervention (assumes single community

of expertise)

• Monolithic– One size fits all approach– Reflects its centralized system origins

• Bias towards physical artifacts– Fixed resources– Incomplete handling of resource evolution and other

resource relationships

• Anglo-centric

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Web Challenge to Traditional Cataloging

• Scale

• Permanence

• Authenticity

• Organizational Context

• Custodial Control

• Variety

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Internet Commons includes Multiple Communities

ScientificData

HomePages Geo

InternetCommons

Library

Museums

Commerce

Whatever...

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Metadata Takes Many Forms

resourcediscovery

documentadministration

rightsmanagement

contentrating

security andauthentication

archivalstatus

products andservices

databaseschemas

process controlor description

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Metadata Challenges

• Accommodate multiple varieties of metadata– community-specific functionality, creation,

administration, access

• Tensions– functionality and simplicity – extensibility and interoperability– human and machine creation and use

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Interoperability has many facets

• Semantics– Meaning/classification/ontology

• Models/Structure– Entities and relationships

• Syntax– grammars to convey semantics and structure

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Warwick Framework: Containing Chaos

• Conceptual Architecture for metadata from the Warwick Metadata Workshop (DC-2)

• Conceptual architecture to support the specification, collection, encoding, and exchange of modular metadata

• Provide context for metadata efforts (including Dublin Core)– avoids the “black-hole” of comprehensive element

sets– focuses interoperability issues at package level

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Metadata Container

Container

Package

Dublin Core

Package

MARC record

Package

Indirect Reference

Package

Terms and Conditions

URI

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Modularization Allows Distributed Management

• Communities of expertise (not software vendors) are responsible for:– Semantics– Registration– Administration– Access management– Authority of data– Sharing and Distribution

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Realities of Web search and discovery

• Search systems are motivated by advertising• Index coverage is unpredictable and limited• Too much recall, too little precision• Index spam abounds• Resources (and their names) are volatile

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Metadata: Part of a Solution

• Structured data about data– helps to impose order on chaos– enables automated discovery/manipulation

• Variety across various dimensions:– specialization– decentralization– democratization

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Web Metadata Models:Drill-Down Searching Paradigm

• Moving along a specificity spectrum• Inter-domain vs. intra-domain terms, models,

query mechanisms• One size doesn't fit all

– Cognitive models of searching and browsing

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Drill-down search paradigm

DomainIndependent

view

DomainSpecific

View

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Metadata:Part of the problem

cost

functionality

AACR2/MARC

googleDublin Core

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Why hasn’t metadata worked on the Web?

• Its all about trust• People are lazy• Metadata is hard• No perceived benefit

– “Reverse tragedy of the commons”

• No agreement on one way to describe things

• “Metacrap” - http://www.well.com/~doctorow/metacrap.htm