Abstract
This article deals with ways of enhancing the functionality of tagging systems, by introducing wordnet based ontologies. Tagging systems are a very popular way of describing resource contents, by using words or expressions (this is especially true for the Internet). Introducing wordnet based ontologies enables broadening or narrowing down the search, by referring to other concepts from the same semantic field. This approach significantly improves searching resources gathered in any computer system. The article presents a model, in which the wordnet-like ontology structure is broadened by specific domain relations. This model also assumes that the ontology will be transformed into the so-called normalized form with all the necessary relations for the needs of the enhanced tagging system. This method was implemented in the Wilanów Palace Museum vortal, where the available system of a couple of thousand tags, from the field of Polish history and culture, was used to build an enhanced tagging system.
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Notes
- 1.
It is outside of the scope of this article to discuss if whilst tagging the user chose the best concept to describe the resources.
- 2.
Meanings are given to words.
- 3.
The quality of the search depends on the fact if the tags from a certain resource describe its contents in a clear and accurate manner. In the case of the Wilanów Palace Museum vortal, tagging of resources was undertaken by the domain experts with great care.
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Marciniak, J. (2014). Enhancing Tagging Systems by Wordnet Based Ontologies. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_30
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DOI: https://doi.org/10.1007/978-3-319-08958-4_30
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