IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
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
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on 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
Ontology Matching
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
Pattern-based automatic taxonomy learning from the Web
AI Communications
A Branch and Bound Algorithm for Matching Protein Structures
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Graph matching using the interference of discrete-time quantum walks
Image and Vision Computing
Approximate graph edit distance computation by means of bipartite graph matching
Image and Vision Computing
Inexact matching of ontology graphs using expectation-maximization
Web Semantics: Science, Services and Agents on the World Wide Web
SECCO: On Building Semantic Links in Peer-to-Peer Networks
Journal on Data Semantics XII
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
Ontology-based information content computation
Knowledge-Based Systems
An ontology-based measure to compute semantic similarity in biomedicine
Journal of Biomedical Informatics
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
Journal of Biomedical Informatics
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
Towards the estimation of feature-based semantic similarity using multiple ontologies
Knowledge-Based Systems
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The estimation of the semantic similarity between terms provides a valuable tool to enable the understanding of textual resources. Many semantic similarity computation paradigms have been proposed both as general-purpose solutions or framed in concrete fields such as biomedicine. In particular, ontology-based approaches have been very successful due to their efficiency, scalability, lack of constraints and thanks to the availability of large and consensus ontologies (like WordNet or those in the UMLS). These measures, however, are hampered by the fact that only one ontology is exploited and, hence, their recall depends on the ontological detail and coverage. In recent years, some authors have extended some of the existing methodologies to support multiple ontologies. The problem of integrating heterogeneous knowledge sources is tackled by means of simple terminological matchings between ontological concepts. In this paper, we aim to improve these methods by analysing the similarity between the modelled taxonomical knowledge and the structure of different ontologies. As a result, we are able to better discover the commonalities between different ontologies and hence, improve the accuracy of the similarity estimation. Two methods are proposed to tackle this task. They have been evaluated and compared with related works by means of several widely-used benchmarks of biomedical terms using two standard ontologies (WordNet and MeSH). Results show that our methods correlate better, compared to related works, with the similarity assessments provided by experts in biomedicine.