An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Measuring semantic similarity in the taxonomy of WordNet
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data management
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A Graph Modeling of Semantic Similarity between Words
ICSC '07 Proceedings of the International Conference on Semantic Computing
WordNet: similarity - measuring the relatedness of concepts
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Ontology-Based Measure of Semantic Similarity between Concepts
WCSE '09 Proceedings of the 2009 WRI World Congress on Software Engineering - Volume 02
Measuring Semantic Similarity Based on WordNet
WISA '09 Proceedings of the 2009 Sixth Web Information Systems and Applications Conference
A New Measure of Word Semantic Similarity Based on WordNet Hierarchy and DAG Theory
WISM '09 Proceedings of the 2009 International Conference on Web Information Systems and Mining
Measuring Word Similarity Based on Pattern Vector Space Model
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 03
An Improved Semantic Similarity Measure for Word Pairs
IC4E '10 Proceedings of the 2010 International Conference on e-Education, e-Business, e-Management and e-Learning
Extracting Knowledge from Wikipedia Articles through Distributed Semantic Analysis
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
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We define WordNet based hierarchy concept tree (HCT) and hierarchy concept graph (HCG), HCT contains hyponym/hypernym kind of relation in WordNet while HCG has more meronym/holonym kind of edges than in HCT, and present an advanced concept vector model for generalizing standard representations of concept similarity in terms of WordNet-based HCT. In this model, each concept node in the hierarchical tree has ancestor and descendent concept nodes composing its relevancy nodes, thus a concept node is represented as a concept vector according to its relevancy nodes' local density and the similarity of the two concepts is obtained by computing the cosine similarity of their vectors. In addition, the model is adjustable in terms of multiple descendent concept nodes. This paper also provides a method by which this concept vector may be applied with regard to HCG into HCT. With this model, semantic similarity and relatedness are computed based on HCT and HCG. The model contains structural information inherent to and hidden in the HCT and HCG. Our experiments showed that this model compares favorably to others and is flexible in that it can make comparisons between any two concepts in a WordNet-like structure without relying on any additional dictionary or corpus information.