Journal article
Upper Tag Ontology (UTO) For Integrating Social Tagging Data
21 Dec 2010
Abstract
Data integration and mediation have become central concerns of information
technology over the past few decades. With the advent of the Web and the rapid
increases in the amount of data and the number of Web documents and users,
researchers have focused on enhancing the interoperability of data through the
development of metadata schemes. Other researchers have looked to the wealth of
metadata generated by bookmarking sites on the Social Web. While several
existing ontologies capitalize on the semantics of metadata created by tagging
activities, the Upper Tag Ontology (UTO) emphasizes the structure of tagging
activities to facilitate modeling of tagging data and the integration of data
from different bookmarking sites as well as the alignment of tagging
ontologies. UTO is described and its utility in harvesting, modeling,
integrating, searching and analyzing data is demonstrated with metadata
harvested from three major social tagging systems (Delicious, Flickr and
YouTube).
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Details
- Title
- Upper Tag Ontology (UTO) For Integrating Social Tagging Data
- Creators
- Ying Ding - School of Library and Information Science, Indiana University, Bloomington, IN, USAElin K Jacob - School of Library and Information Science, Indiana University, Bloomington, IN, USAMichael Fried - Institute of Computer Science, University of Innsbruck, Innsbruck, AustriaIoan Toma - Institute of Computer Science, University of Innsbruck, Innsbruck, AustriaErjia Yan - School of Library and Information Science, Indiana University, Bloomington, IN, USASchubert Foo - Division of Information Studies, Nanyang Technological University, Singapore
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991014976816204721