Folksonomies. But First: Metadata What is it? Metadata It is data about data. It is information about information.

Slides:

Advertisements

Similar presentations

Using SKOS in practice, with examples from the classification domain

Advertisements

Can I Use It, and If so, How? Christian Lieske SAP AG – MultiLingual Technology Discussion of Consortium Proposal for OLIF2 File Header.

DC8 Ottawa, October 4-6, 2000 Rachel Heery UKOLN, University of Bath Application Profiles: managing metadata.

Search for the Enterprise: Creating Findability Jean Bedord Findability and Search Consulting EContent Strategies Gilbane Conference San Francisco June.

Providing collections, tools and services for digital humanities A national library perspective Clément Oury Head of Digital Legal Deposit Bibliothèque.

Introduction to RDF Based on tutorial at

Browse the book collection by subject area? The C-N Library uses the Dewey Decimal Classification System to organize library materials. This system groups.

The Complex Dynamics of Collaborative Tagging Harry Halpin University of Edinburgh Valentin Robu CWI, Netherlands Hana Shepherd Princeton University WWW.

Ontology Notes are from:

Ontologies IS 277 Spring Outline n Ontologies n Types of ontologies n Examples n Ontology engineering n Ontology standards n Machine-readable ontologies.

Introduction to Searching Databases and Records. What is a database? A database is a large, organized collection of information. Addresses Recipes Citations.

© Tefko Saracevic, Rutgers University1 metadata considerations for digital libraries.

RDF Kitty Turner. Current Situation there is hardly any metadata on the Web search engine sites do the equivalent of going through a library, reading.

ALAO 2008 Conference1 Uncorking the Varietals: Social Tagging, Folksonomies & Controlled Vocabularies Margaret Maurer, Associate Professor Head, Catalog.

OPAL Conference, August Social Tagging, Folksonomies & Controlled Vocabularies Inviting New Access Systems to our Academic Table Margaret Maurer.

| Computer Science Department | Ubiquitous Knowledge Processing Lab | © Prof. Dr. Iryna Gurevych | 1 del.icio.us Knowledge Management in Web.

April Uncorking the Varietals: Social Tagging, Folksonomies & Controlled Vocabularies Margaret Maurer Head, Catalog and Metadata Kent State University.

NOBLE Digital Library. How does it work? The NOBLE Digital Library uses the DSpace platform. Image files and metadata are imported into DSpace using.

“To confer, converse, and otherwise hobnob with my brother wizards”: SLIC, SLAINTE and Web 2.0 Celia Jenkins & Gillian Hanlon, SLIC.

Media Specialists “Dewey” it Better! The Basics of the Dewey Decimal System of Classifying Books! Kelly Moss.

PREMIS Tools and Services Rebecca Guenther Network Development & MARC Standards Office, Library of Congress NDIIPP Partners Meeting July 21,

P roblem S olving I nnovator Solving Tomorrows Problems Today Before beginning, establish the parameters of the opportunity. Do this by completing the.

Golder and Huberman, 2006 Journal of Information Science Usage Patterns of Collaborative Tagging System.

SharePoint Users Group Content Classification Step by Step SharePoint 2007 and 2010.

Cultural tourism taxonomies and folksonomies Chris Tweed School of Planning, Architecture and Civil Engineering Queen’s University Belfast.

8/28/97Organization of Information in Collections Introduction to Description: Dublin Core and History University of California, Berkeley School of Information.

 Copyright 2006 Digital Enterprise Research Institute. All rights reserved. Collaborative Building of Controlled Vocabularies Crosswalks Mateusz.

‘The Universal Catalogue’ a cultural sector viewpoint David Dawson Senior Policy Adviser (Digital Futures) Museums, Libraries and archives Council.

The Geography of Europe Unit 2 Notes

Europe Review Definitions Vocab 1 History Physical features $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Meta Tagging / Metadata Lindsay Berard Assisted by: Li Li.

Lifecycle Metadata for Digital Objects (INF 389K) September 18, 2006 The Big Metadata Picture, Web Access, and the W3C Context.

The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.

Jennifer Bowen, University of Rochester ALA Annual Conference, 2009, Chicago, Illinois 1 Defining Linked Data for the eXtensible Catalog (XC): Metadata.

Word of the Day: “Call Number” A combination of numbers and letters which is used to identify a particular book or item in a library's collection. Items.

Folksonomy Folktales Tom Reamy Chief Knowledge Architect KAPS Group Knowledge Architecture Professional Services

RDF and XML 인공지능 연구실 한기덕. 2 개요  1. Basic of RDF  2. Example of RDF  3. How XML Namespaces Work  4. The Abbreviated RDF Syntax  5. RDF Resource Collections.

Introduction to Searching Databases and Records. What is a database? A database is a large, organized collection of information. Addresses Recipes Citations.

BEN METADATA SPECIFICATION Isovera Consulting Feb

APAN AG-WG Bangkok Food and Agriculture Organization of the UN Library and Documentation Systems Division Margherita Sini Slide Sustainable.

Information architecture (basics for app building)

Harvesting Social Knowledge from Folksonomies Harris Wu, Mohammad Zubair, Kurt Maly, Harvesting social knowledge from folksonomies, Proceedings of the.

Melanie Feinberg, Spring 2010 Organizing Information 7 statements.

Digital Library The networked collections of digital text, documents, images, sounds, scientific data, and software that are the core of today’s Internet.

Metadata “Data about data” Describes various aspects of a digital file or group of files Identifies the parts of a digital object and documents their content,

Mr. P’s Class Term Paper All the Steps on the Path to an “A” Term Paper in World History.

Exam 1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas.

The Peninsula of Greece and its many Islands.  Peninsula of Peninsulas:  Iberian, (Portugal & Spain)  Italian (Italy + Islands)  Balkan (Greece and.

Emerging Approaches to Subject Information Terry Willan Talis CIG Conference University of Strathclyde 4.

The Semantic Web. What is the Semantic Web? The Semantic Web is an extension of the current Web in which information is given well-defined meaning, enabling.

Lesson on Dewey Decimal Classification The non-fiction books are arranged by a system of numbers called Dewey. There are 10 main classes.

FIND IT! USING LIBRARY CATALOGING CONCEPTS TO ORGANIZE AND MAKE RECORDS FINDABLE DIONNE L. MACK, INTERIM DIRECTOR OF QUALITY OF LIFE DEPARTMENTS.

© Tata Consultancy Services ltd.12 June Metadata and Data Standards Levels of Metadata C. Anantaram Innovation Lab.

Attributes and Values Describing Entities. Metadata At the most basic level, metadata is just another term for description, or information about an entity.

Beyond HTML: Extensible Markup Language (XML)

Repository Software - Standards

WHAT DOES THE FUTURE HOLD? Ann Ellis Dec. 18, 2000

Destination: EUROPE.

Lecture #11: Ontology Engineering Dr. Bhavani Thuraisingham

Bell Work What Halloween traditions do we have in the United States? What is your family doing for Halloween this year (any time in October)? *If you don’t.

Attributes and Values Describing Entities.

Multilingual websites and thesauri

Cataloging the Internet

Metadata to fit your needs... How much is too much?

PREMIS Tools and Services

EUROPEAN UNION the “EU”

Accommodating local cataloguing traditions in a global context

Some Options for Non-MARC Descriptive Metadata

Attributes and Values Describing Entities.

Presentation transcript:

Folksonomies

But First: Metadata What is it?

Metadata It is data about data. It is information about information.

Metadata: Structured information about documents, books, articles, photographs, web pages, etc. This data is designed for specific functions usually to facilitate some organization and access of information.

Traditional Metadata Dewey Decimal Library of Congress Traditional metadata is high quality but costly and it doesn’t scale well.

Author Created Metadata For example I might create an xml document that contains data about my CD collection: Bob Dylan Blonde on Blonde Funkadelic Maggot Brain

Author Created Metadata Dublin Core XML RDF Has better scalability but suffers from the same problems As traditional metadata: users are disconnected from the process.

User Created Metadata(Folksonomies)‏ Del.icio.us

Folksonomies This term is attributed to Information Architect Thomas Vander Wal. It is the combination of two words. Folk:Of, occurring in, or originating among the common people: folk culture. Taxonomy: A division into ordered groups or categories.

Weaknesses Ambiguity: There is no synonym control so multiple words may be used to describe the same thing. The same word may be used for multiple meanings. For instance the ant maybe used to describe: The insect. Actor Network Theory in the domain of sociology. A java programming language tool.

Strengths Browsing Del.icio.us is an exploratory tool that supports browsing. User centered Directly reflects the vocabulary of its users. Desire lines Supports the creation of emergent “paths”. Namespace Has a flat name space/non-hierarchal categorization.

Examples (from Clay Shirky)‏

Dewey, 200: Religion 210 Natural theology 220 Bible 230 Christian theology 240 Christian moral & devotional theology 250 Christian orders & local church 260 Christian social theology 270 Christian church history 280 Christian sects & denominations 290 Other religions Dewey Decimal Religions of the World

Library of Congress World History D: History (general)‏ DA: Great Britain DB: Austria DC: France DD: Germany DE: Mediterranean DF: Greece DG: Italy DH: Low Countries DJ: Netherlands DK: Former Soviet Union DL: Scandinavia DP: Iberian Peninsula DQ: Switzerland DR: Balkan Peninsula DS: Asia DT: Africa DU: Oceania DX: Gypsies

What is being optimized?

When do traditional cataloging systems work well? Domain to be Organized Small corpus Formal categories Stable entities Restricted entities Clear edges Participants Expert catalogers Authoritative judgment Coordinated users Expert users

When do traditional cataloging systems not work well? Domain to be Organized Large corpus No formal categories Unstable entities Unrestricted entities No clear edges Participants Uncoordinated users Amateur users Naïve catalogers No Authority