Collaborative Tagging
Agenda • • • • • • • • • •
Introduction Taxonomy Folksonomy Tagging in Folksonomy Visualizing Folksonomy Folksonomy and Semantic Web Metadata and Semantic Web Folksonomy Advantages Folksonomy Disadvantages Conclusion
Taxonomy • One of the most common strategies for organizing content • Only admin / authorized person can add / edit categorize the content • Use of taxonomy is not possible in websites with user generated content • Content is constantly changing and its not possible to have a standalone taxonomy • No single party can enforce taxonomy in whole user community – Example, Wordpress blog categories. – To overcome the disadvantages in Taxonomy, Folksonomy introduced.
Folksonomy Folksonomy became popular in 2004 Folksonomy is a characteristic of web 2.0 Folksonomy = Collective Tagging = Tagging = Social Tagging = Social Indexing = Collaborative Tagging Folksonomy Online => Delicious
Offline => Library Records
Folksonomy => Folk + Taxonomy
Folks => Done by people
Taxonomy => Classification of item into groups
Tagging in Folksonomy
gs Ta
Us er s
TAG • Tag is simply a freely chosen set of textual keywords. • Tags not created but specialists and created by users • Tag can be categorized with any word that defines a relationship between the online resource and a concept in the user's mind • Any number of words might be chosen, some of which are obvious representations, others making less sense outside the tag author's context.
Resources
Visualizing Folksonomy • Tag cloud – Way to visualize tag in a Folksonomy. • Tag clouds represents by size, number of times the tag applied to single item and quality of content. • Tag clouds are interactive • Tags are hyperlinks thus allows users to drill down on the data. • Delicious is the first bookmarking site to introduce tagging concept.
Folksonomy and Semantic Web • • • •
Folksonomy intended to make a body of information increasingly easy to search, discover, and navigate over time Folksonomy hold a key in developing semantic web and information retrieval system. Web content searchable through machine readable meta datas. Not sure every web authors have added metadata in their pages. Time consuming to learn and use
How SE Categorize content in WEB <meta name="keywords" content="computing, computer software, computer"> <meta name="description" content="Cheap widgets for sale"> <meta name="author" content=“Mercy Livingstone">
Metadata and Semantic Web
Examples of Metadata for Book
Title
Author
Date of Publication
Subject
Unique Indentifier (International Standard Book Number)
Number of pages
Language of text
Metadata and Semantic Web Example of Metadata for Audio – Album Name –
Song title
–
Year
–
Composer
–
Contributing Author
–
Track Number
–
Album Artist People also use “Dublin Core” metadata which consists of standard 15 metadata.
Folksonomy Advantages • To provide additional keywords to help search engines and tag services add up your keyword counts and classify your post content. • To provide additional navigation on your site, like an index reference, helping the user find related post content. • Cheap, easy way to classify web content • Capable to adapt to user style • Scalability – easy for everyone use • Reflects user's vocabulary • Help machine to retrieve best information in the web.(If done with accuracy)
Folksonomy Disadvantages •
Polisemy - Same tag with different meaning • Ex, Chicken, Windows
•
Synonyms – Different tags with same meaning • Ex, Mate,Friend; Ocean, Sea
•
Plural Vs Singular
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Acronym and Abbreviations
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No spaces allowed (only single word)
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Language Barrier
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Organized by amateur
•
Anti-spam measure is tough
Conclusion • Web is infinite, can’t rely on experts to classify things • Its upto end users to contribute • Single tag is not going to speak the language. The number of increase in tag that matters. Ex. Flickr • Some extend taxonomy also can’t be ruled out. Ex. Library Catalogue. • We have to capitalize on the benefits of both the systems. • University of Pennsylvania adopted Penn Tagg • Beyond the partnership with Taxonomy, Folksonomy moves forward in future classifying web towards creating semantic web.