Classifying image galleries into a taxonomy using metadata and wikipedia
|Classifying image galleries into a taxonomy using metadata and wikipedia|
|Author(s)||Kramer G., Bouma G., Hendriksen D., Homminga M.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||classification, gallery, hierarchical classification, image gallery, taxonomy, Wikipedia (Extra: Entity extractions, Entity ranking, F-score, gallery, Hierarchical classification, image gallery, Labeled training data, Wikipedia, Classification (of information), Computational linguistics, Information systems, Learning algorithms, Natural language processing systems, Taxonomies, Websites, Metadata)|
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Classifying image galleries into a taxonomy using metadata and wikipedia is a 2012 conference paper written in English by Kramer G., Bouma G., Hendriksen D., Homminga M. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
This paper presents a method for the hierarchical classification of image galleries into a taxonomy. The proposed method links textual gallery metadata to Wikipedia pages and categories. Entity extraction from metadata, entity ranking, and selection of categories is based on Wikipedia and does not require labeled training data. The resulting system performs well above a random baseline, and achieves a (micro-averaged) F-score of 0.59 on the 9 top categories of the taxonomy and 0.40 when using all 57 categories.
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