Contextual correlates of synonymy
Communications of the ACM
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
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
Towards the development of a conceptual distance metric for the UMLS
Journal of Biomedical Informatics
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
HLT '93 Proceedings of the workshop on Human Language Technology
A semantic approach to IE pattern induction
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
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
Bringing taxonomic structure to large digital libraries
International Journal of Metadata, Semantics and Ontologies
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
A New Model of Information Content for Semantic Similarity in WordNet
FGCNS '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking Symposia - Volume 03
Semi-structured document categorization with a semantic kernel
Pattern Recognition
A generic framework for comparing semantic similarities on a subsumption hierarchy
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A semantic similarity metric combining features and intrinsic information content
Data & Knowledge Engineering
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
Concept mining for indexing medical literature
Engineering Applications of Artificial Intelligence
SoFoCles: Feature filtering for microarray classification based on Gene Ontology
Journal of Biomedical Informatics
A methodology to learn ontological attributes from the Web
Data & Knowledge Engineering
Using measures of semantic relatedness for word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Ontology-driven web-based semantic similarity
Journal of Intelligent Information Systems
Semantic Clustering Using Multiple Ontologies
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Ontology-based information content computation
Knowledge-Based Systems
An ontology-based measure to compute semantic similarity in biomedicine
Journal of Biomedical Informatics
Content annotation for the semantic web: an automatic web-based approach
Knowledge and Information Systems
Learning relation axioms from text: An automatic Web-based approach
Expert Systems with Applications: An International Journal
Journal of Biomedical Informatics
Ontology-based semantic similarity: A new feature-based approach
Expert Systems with Applications: An International Journal
Ontology-guided feature engineering for clinical text classification
Journal of Biomedical Informatics
Semantically-grounded construction of centroids for datasets with textual attributes
Knowledge-Based Systems
Preventing automatic user profiling in Web 2.0 applications
Knowledge-Based Systems
A semantic similarity method based on information content exploiting multiple ontologies
Expert Systems with Applications: An International Journal
Semantic similarity estimation from multiple ontologies
Applied Intelligence
Using profiling techniques to protect the user's privacy in twitter
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
A New Model to Compute the Information Content of Concepts from Taxonomic Knowledge
International Journal on Semantic Web & Information Systems
Journal of Biomedical Informatics
An adaptive evidence weighting method for medical record search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Towards the estimation of feature-based semantic similarity using multiple ontologies
Knowledge-Based Systems
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Semantic similarity estimation is an important component of analysing natural language resources like clinical records. Proper understanding of concept semantics allows for improved use and integration of heterogeneous clinical sources as well as higher information retrieval accuracy. Semantic similarity has been the focus of much research, which has led to the definition of heterogeneous measures using different theoretical principles and knowledge resources in a variety of contexts and application domains. In this paper, we study several of these measures, in addition to other similarity coefficients (not necessarily framed in a semantic context) that may be useful in determining the similarity of sets of terms. In order to make them easier to interpret and improve their applicability and accuracy, we propose a framework grounded in information theory that allows the measures studied to be uniformly redefined. Our framework is based on approximating concept semantics in terms of Information Content (IC). We also propose computing IC in a scalable and efficient manner from the taxonomical knowledge modelled in biomedical ontologies. As a result, new semantic similarity measures expressed in terms of concept Information Content are presented. These measures are evaluated and compared to related works using a benchmark of medical terms and a standard biomedical ontology. We found that an information-theoretical redefinition of well-known semantic measures and similarity coefficients, and an intrinsic estimation of concept IC result in noticeable improvements in their accuracy.