Exploiting hierarchical domain structure to compute similarity
By Prasanna Ganesan, Hector Garcia-Molina, Jennifer Widom. TOIS, 2003
398 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/f0bc8d54a07caa7ff7d39e43f363accb35779f80
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Glen Jeh
- Jennifer Widom
- Lars Juhl Jensen
- Andreas Hotho
- Srinivasan Parthasarathy
- Sitaram Asur
- Duygu Ucar
- Filippo Menczer
In Computer Vision and Pattern Recognition
Citations in the corpus
- SimRank: a measure of structural-context similarity (2002, background): “, a hierarch y by which the items may be categorized [6].”
- Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts (2011, methodology): “One could attempt to reduce this type of dependency, by imposing filters for intra chapter pairs, or in other ways use the taxonomy as a filter or weighing scheme [48].”
- Evaluating similarity measures for emergent semantics of social tagging (2009, background): “Measures of semantic similarity based on taxonomies are well studied [14].”
- An event-based framework for characterizing the evolutionary behavior of interaction graphs (2007, methodology): “Using this hierarchy, we de(cid:12)ne the notion of semantic similarity [21, 12] in this context.”