Collaborative ontologies in social tagging tools: A literature review of natural folksonomy

Hesham Allam, Michael Bliemel, Omar Al Amir, Sandra Toze, Kavita Shah, Enas Shoib

Résultat de recherche: Conference contribution

1 Citation (Scopus)

Résumé

Web 2.0 had a great influence on the Web creating a collaborative environment where everyone can share his input resulting in an increase in invaluable information for web users. Social tagging tools are examples of the applications that enable users to build shared tagged content that works as a natural classification of relevant information. This paper highlights the difference between tags in different systems such as folksonomy, taxonomy. Further, the paper presents a brief survey of different techniques for creating natural folksonomies thus building precision in search and navigation. The paper explores the types of tags and their components with a detailed highlight of tag navigation and tag clouds.

Langue d'origineEnglish
Titre de la publication principale2020 7th International Conference on Information Technology Trends, ITT 2020
Maison d'éditionInstitute of Electrical and Electronics Engineers Inc.
Pages126-130
Nombre de pages5
ISBN (électronique)9781728183787
DOI
Statut de publicationPublished - nov. 25 2020
Événement7th International Conference on Information Technology Trends, ITT 2020 - Virtual, Abu Dhabi, United Arab Emirates
Durée: nov. 25 2020nov. 26 2020

Séries de publication

Prénom2020 7th International Conference on Information Technology Trends, ITT 2020

Conference

Conference7th International Conference on Information Technology Trends, ITT 2020
Pays/TerritoireUnited Arab Emirates
VilleVirtual, Abu Dhabi
Période11/25/2011/26/20

Note bibliographique

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Artificial Intelligence
  • Computer Networks and Communications
  • Media Technology
  • Health Informatics
  • Education
  • Information Systems and Management

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