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» Rough concept lattice based ontology similarity measure
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KDD
1995
ACM
135views Data Mining» more  KDD 1995»
13 years 8 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
EWCBR
2008
Springer
13 years 7 months ago
Supporting Case-Based Retrieval by Similarity Skylines: Basic Concepts and Extensions
Conventional approaches to similarity search and case-based retrieval, such as nearest neighbor search, require the specification of a global similarity measure which is typically ...
Eyke Hüllermeier, Ilya Vladimirskiy, Bel&eacu...
SMC
2007
IEEE
172views Control Systems» more  SMC 2007»
13 years 11 months ago
Measuring semantic similarity using wordnet-based context vectors
— Semantic relatedness between words or concepts is a fundamental problem in many applications of computational linguistics and artificial intelligence. In this paper, a new mea...
Shen Wan, Rafal A. Angryk
KCAP
2005
ACM
13 years 10 months ago
Ontology ranking based on the analysis of concept structures
In view of the need to provide tools to facilitate the reuse of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of...
Harith Alani, Christopher Brewster
APCCM
2010
13 years 6 months ago
Metric of intrinsic information content for measuring semantic similarity in an ontology
Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic si...
Md. Seddiqui Hanif, Masaki Aono