TY - CHAP
T1 - Hierarchies measuring qualitative variables
AU - Levachkine, Serguei
AU - Guzmán-Arenas, Adolfo
PY - 2004
Y1 - 2004
N2 - Qualitative variables take symbolic values, such as hot, shoe, Europe or France. Sometimes, the values may be arranged in layers or levels of detail. For instance, the variable place_of_origin takes as level-1 values European, African... as level-2 values French, German... as level-3 values Californian, Texan... The paper describes a hierarchy, a mathematical construct among these variables. The confusion resulting when using a value instead of another is defined, as well as the closeness to which object o fulfills predicate P. Other operations among and properties of hierarchical values are derived. Hierarchies are compared with ontologies. Hierarchies find use in measuring linguistic relatedness or similarity. Hierarchical variables abound and are commonly used, often with suggestive string values, without fully realizing or exploiting its properties. We deal with arbitrary hierarchies. Examples are given.
AB - Qualitative variables take symbolic values, such as hot, shoe, Europe or France. Sometimes, the values may be arranged in layers or levels of detail. For instance, the variable place_of_origin takes as level-1 values European, African... as level-2 values French, German... as level-3 values Californian, Texan... The paper describes a hierarchy, a mathematical construct among these variables. The confusion resulting when using a value instead of another is defined, as well as the closeness to which object o fulfills predicate P. Other operations among and properties of hierarchical values are derived. Hierarchies are compared with ontologies. Hierarchies find use in measuring linguistic relatedness or similarity. Hierarchical variables abound and are commonly used, often with suggestive string values, without fully realizing or exploiting its properties. We deal with arbitrary hierarchies. Examples are given.
UR - http://www.scopus.com/inward/record.url?scp=33144465161&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-24630-5_33
DO - 10.1007/978-3-540-24630-5_33
M3 - Capítulo
AN - SCOPUS:33144465161
SN - 3540210067
SN - 9783540210061
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 262
EP - 274
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Gelbukh, Alexander
PB - Springer Verlag
ER -