TY - JOUR
T1 - Measuring the understanding between two agents through concept similarity
AU - Guzman-Arenas, Adolfo
AU - Olivares-Ceja, Jesus M.
N1 - Funding Information:
Helpful discussions were held with Profs. Serguei Levachkine (CIC), Michael N. Huhns (U. of South Carolina), Alexander Gelbukh (CIC), and Hal Berghel (U. of Nevada Las Vegas). Work herein reported was partially supported by NSF-CONACYT Grant 32973-A and Project CGPI-IPN 2004442). Authors have SNI National Scientist Award (CONACYT)
PY - 2006/5
Y1 - 2006/5
N2 - Two agents previously unknown to each other cannot communicate by exchanging concepts (nodes of their own ontology): they need to use a common communication language. If they do not use a standard protocol, most likely they use a natural language. The ambiguities of it, and the different concepts the agents possess, give rise to imperfect understanding among them: How closely concepts in ontology OA map1 to which of OB? Can we measure these mismatches? Given a concept from ontology OA, a method is provided to find the most similar concept in OB, and to measure the similarity between both concepts. The paper also gives an algorithm to gauge du(A, B), the degree of understanding that agent A has about the ontology of B. The procedures use word comparison, since no agent (except the Very Wise Creature, VWC) can measure du directly. Examples are given.
AB - Two agents previously unknown to each other cannot communicate by exchanging concepts (nodes of their own ontology): they need to use a common communication language. If they do not use a standard protocol, most likely they use a natural language. The ambiguities of it, and the different concepts the agents possess, give rise to imperfect understanding among them: How closely concepts in ontology OA map1 to which of OB? Can we measure these mismatches? Given a concept from ontology OA, a method is provided to find the most similar concept in OB, and to measure the similarity between both concepts. The paper also gives an algorithm to gauge du(A, B), the degree of understanding that agent A has about the ontology of B. The procedures use word comparison, since no agent (except the Very Wise Creature, VWC) can measure du directly. Examples are given.
KW - Concept similarity
KW - Degree of understanding
KW - Imperfect knowledge
KW - Natural language
KW - Ontology matching
UR - http://www.scopus.com/inward/record.url?scp=33144461518&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2005.07.003
DO - 10.1016/j.eswa.2005.07.003
M3 - Artículo
SN - 0957-4174
VL - 30
SP - 577
EP - 591
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 4
ER -