Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
WWW '03 Proceedings of the 12th international conference on World Wide Web
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Concept expansion using semantic fisheye views
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Using hierarchical clustering for learning theontologies used in recommendation systems
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
An ontology-based cluster analysis framework
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
A semantic similarity metric combining features and intrinsic information content
Data & Knowledge Engineering
Cloud Computing Service Composition and Search Based on Semantic
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
ONTOMO: Development of Ontology Building Service
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Conceptual clustering applied to ontologies: a distance-based evolutionary approach
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Classical music for rock fans?: novel recommendations for expanding user interests
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
A concept hierarchy based ontology mapping approach
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Comparative evaluation of ontology-based Automatic Reference Tracking (ART)
International Journal of Networking and Virtual Organisations
A semantic similarity framework exploiting multiple parts-of speech
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
Journal of Network and Computer Applications
A feature and information theoretic framework for semantic similarity and relatedness
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
User similarity from linked taxonomies: subjective assessments of items
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Neighbour based structural proximity measures for ontology matching systems
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
SenSim: sentence similarity based on the concept of relevance
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Context-aware social media recommendation based on potential group
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
Semantic similarity measures applied to an ontology for human-like interaction
Journal of Artificial Intelligence Research
Summarization by Domain Ontology Navigation
International Journal of Intelligent Systems
Semantic similarity-driven decision support in the skeletal dysplasia domain
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Graph Searching Algorithms for Semantic-Social Recommendation
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
FACETS: A cognitive business intelligence system
Information Systems
Information Technology and Management
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Various approaches have been proposed to quantify the similarity between concepts in an ontology. We present a novel approach that allows similarities to be asymmetric while still using only information contained in the structure of the ontology. We show through experiments on the WordNet and GeneOntology that the new approach achieves better accuracy than existing techniques.