research-article

MUTO: the modular unified tagging ontology

Authors:

Steffen Lohmann,

Ignacio AedoAuthors Info & Claims

I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems

Pages 95 - 104

https://doi.org/10.1145/2063518.2063531

Published: 07 September 2011 Publication History

Abstract

Tagging has become a popular indexing method within the last years and can be considered one of the cornerstones of the Social Web. Several ontologies have been developed that aim to formally describe tagging and folksonomies in order to improve their interoperability and processability. However, each of these ontologies covers different aspects of the domain; finding the right ontology for a certain purpose and aligning it correctly with other ontologies is difficult. This paper critically reviews available tagging ontologies and presents a unified vocabulary that combines the 'best of' these ontologies in one consistent schema. A central goal was to ensure high concept reuse by simultaneously avoiding redundancies. A modular design was chosen to reduce complexity and prevent inconsistencies. It groups the different elements of tagging and separates advanced concepts from the core ontology. Key design decisions are justified and modeling alternatives are discussed, not only to explain the unified ontology but also to contribute to a better understanding of the conceptual space of tagging and folksonomies.

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Index Terms

MUTO: the modular unified tagging ontology
1. Information systems
  1. Data management systems
    1. Database design and models
      1. Data model extensions
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
  2. Software notations and tools
    1. Context specific languages
      1. Domain specific languages

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cover image ACM Other conferences

I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems

September 2011

129 pages

ISBN:9781450306218

DOI:10.1145/2063518

Editors:
Chiara Ghidini
Bruno Kessler Foundation - Italy
,
Axel-Cyrille Ngonga Ngomo
University of Leipzig - Germany
,
Stefanie Lindstaedt
Know Center Graz - Austria
,
Tassilo Pellegrini
Semantic Web Company, Austria

Copyright © 2011 ACM.

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Association for Computing Machinery

New York, NY, United States

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Published: 07 September 2011

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Ministerio de Ciencia e Innovación

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I-Semantics '11

I-Semantics '11: 7th International Conference on Semantic Systems

September 7 - 9, 2011

Graz, Austria

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https://dl.acm.org/doi/10.4018/IJSWIS.2017100110
Dahan FEl Hindi KGhoneim A(2017)An Adapted Ant-Inspired Algorithm for Enhancing Web Service CompositionInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201710010913:4(181-197)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJSWIS.2017100109
Ebner MDe Vocht LSoftic SVerborgh RMannens E(2017)Social Semantic SearchInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201710010813:4(155-180)Online publication date: 1-Oct-2017
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