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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2020 7th International Conference on Information Technology Trends, ITT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages126-130
Number of pages5
ISBN (Electronic)9781728183787
DOIs
Publication statusPublished - Nov 25 2020
Event7th International Conference on Information Technology Trends, ITT 2020 - Virtual, Abu Dhabi, United Arab Emirates
Duration: Nov 25 2020Nov 26 2020

Publication series

Name2020 7th International Conference on Information Technology Trends, ITT 2020

Conference

Conference7th International Conference on Information Technology Trends, ITT 2020
Country/TerritoryUnited Arab Emirates
CityVirtual, Abu Dhabi
Period11/25/2011/26/20

Bibliographical note

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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