Inducing Ontology from Flickr Tags
By P. Schmitz. 2006
392 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d30e7d2d336d1cb8704e1a599db3071c2ff36b75
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Noah Snavely
- John Philip Collomosse
- Rui Hu
- S. M. Seitz
- Livia Hollenstein
- Ross S. Purves
- Lucia Specia
- Ian Simon
Citations in the corpus
- Flickr tag recommendation based on collective knowledge (2008, methodology): “Several variations of asymmetric co-occurrence measure have been proposed in literature before to build tag (or term) hierarchies [20] [17] [21].”
- Scene Summarization for Online Image Collections (2007, methodology): “Schmitz [24] uses a similar approach but relies on Flickr tags, which are typically noisier and less informative than the captions.”
- Exploring place through user-generated content: Using Flickr tags to describe city cores (2010, background): “The potential and drawbacks of content in tagging systems in terms of information organization and retrieval [14,39], the generation of ontologies [32], and its suitability to represent the perception of the individual [17], as well as distributed knowledge or the wisdom of the crowd [36,38] have…”
- Integrating Folksonomies with the Semantic Web (2007, background): “Schmitz et al. (2006) extract association rules between projections of pairs of elements from the tripartite model of folksonomies, i.e., users, resources and tags.”
- Evaluating similarity measures for emergent semantics of social tagging (2009, unknown): “Others have proposed alternative approaches for extracting taxonomic relations or inferring global semantics from a folksonomy [43, 42, 16, 49].”
- A performance evaluation of gradient field HOG descriptor for sketch based image retrieval (2013, methodology): “In our system we leverage keyword co-occurrence, a text matrix widely used in information retrieval, and recommendation systems [42, 43] as well as in building word ontologies [44] and improving the image annotation performance [45].”
- What is Web 2.0? Ideas, technologies and implications for education (2007, background): “His goal is to develop a system that retains the flexibility of free tagging for annotation but make uses of ontology in the search and browse interface (Schmitz, 2006).”