Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
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
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Ensemble methods for automatic thesaurus extraction
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
Concept similarity in Formal Concept Analysis: An information content approach
Knowledge-Based Systems
A knowledge-based question answering system for B2C eCommerce
Knowledge-Based 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
A study on similarity and relatedness using distributional and WordNet-based approaches
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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
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-based information content computation
Knowledge-Based Systems
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
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
Ontology-based semantic similarity: A new feature-based approach
Expert Systems with Applications: An International Journal
Journal of Biomedical Informatics
Preventing automatic user profiling in Web 2.0 applications
Knowledge-Based Systems
Semantic similarity estimation from multiple ontologies
Applied Intelligence
Detecting sensitive information from textual documents: an information-theoretic approach
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Using Similarity-Based Approaches for Continuous Ontology Development
International Journal on Semantic Web & Information Systems
Towards the estimation of feature-based semantic similarity using multiple ontologies
Knowledge-Based Systems
| Hi-index | 0.00 |
The Information Content IC of a concept quantifies the amount of information it provides when appearing in a context. In the past, IC used to be computed as a function of concept appearance probabilities in corpora, but corpora-dependency and data sparseness hampered results. Recently, some other authors tried to overcome previous approaches, estimating IC from the knowledge modeled in an ontology. In this paper, the authors develop this idea, by proposing a new model to compute the IC of a concept exploiting the taxonomic knowledge modeled in an ontology. In comparison with related works, their proposal aims to better capture semantic evidences found in the ontology. To test the authors' approach, they have applied it to well-known semantic similarity measures, which were evaluated using standard benchmarks. Results show that the use of the authors' model produces, in most cases, more accurate similarity estimations than related works.