Contextual correlates of synonymy
Communications of the ACM
Formal Ontology in Information Systems: Proceedings of the 1st International Conference June 6-8, 1998, Trento, Italy
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
COOPIS '96 Proceedings of the First IFCIS International Conference on Cooperative Information Systems
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
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Ontology Matching
An algorithm based on counterfactuals for concept learning in the Semantic Web
Applied Intelligence
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Learning non-taxonomic relationships from web documents for domain ontology construction
Data & Knowledge Engineering
Pattern-based automatic taxonomy learning from the Web
AI Communications
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Measuring semantic similarity between biomedical concepts within multiple ontologies
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
A tool for evaluating ontology alignment strategies
Journal on data semantics VIII
A methodology to learn ontological attributes from the Web
Data & Knowledge Engineering
Constructing tree-based knowledge structures from text corpus
Applied Intelligence
Ontology-driven web-based semantic similarity
Journal of Intelligent Information Systems
Ontology-based information content computation
Knowledge-Based Systems
An ontology-based measure to compute semantic similarity in biomedicine
Journal of Biomedical Informatics
Agent-based execution of personalised home care treatments
Applied Intelligence
Automatic extraction of acronym definitions from the Web
Applied Intelligence
Content annotation for the semantic web: an automatic web-based approach
Knowledge and Information Systems
Exploration of the labelling space given graph edit distance costs
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
KnowWE: a Semantic Wiki for knowledge engineering
Applied Intelligence
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Journal of Biomedical Informatics
Toward agency and ontology for web-based information retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Journal of Biomedical Informatics
Ontology-based user profile learning
Applied Intelligence
Ontology-based semantic clustering
AI Communications
A New Model to Compute the Information Content of Concepts from Taxonomic Knowledge
International Journal on Semantic Web & Information Systems
Towards the estimation of feature-based semantic similarity using multiple ontologies
Knowledge-Based Systems
A framework for automated construction of resource space based on background knowledge
Future Generation Computer Systems
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The estimation of semantic similarity between words is an important task in many language related applications. In the past, several approaches to assess similarity by evaluating the knowledge modelled in an ontology have been proposed. However, in many domains, knowledge is dispersed through several partial and/or overlapping ontologies. Because most previous works on semantic similarity only support a unique input ontology, we propose a method to enable similarity estimation across multiple ontologies. Our method identifies different cases according to which ontology/ies input terms belong. We propose several heuristics to deal with each case, aiming to solve missing values, when partial knowledge is available, and to capture the strongest semantic evidence that results in the most accurate similarity assessment, when dealing with overlapping knowledge. We evaluate and compare our method using several general purpose and biomedical benchmarks of word pairs whose similarity has been assessed by human experts, and several general purpose (WordNet) and biomedical ontologies (SNOMED CT and MeSH). Results show that our method is able to improve the accuracy of similarity estimation in comparison to single ontology approaches and against state of the art related works in multi-ontology similarity assessment.