Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor
Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Perspectives on ontology-based querying: Research Articles
International Journal of Intelligent Systems
Matching large ontologies: A divide-and-conquer approach
Data & Knowledge Engineering
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Combining OWL ontologies using E-Connections
Web Semantics: Science, Services and Agents on the World Wide Web
Partition-Based block matching of large class hierarchies
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Semantic Heterogeneity Measures of Unstructured P2P Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic similarity. Although the state-of-art metrics measure IC, they deal with external knowledge base or intrinsic hyponymy relations only. A current complex form of ontology conceptualizes a class (also often called as a concept) explicitly with the help of the hyponymy classes and the asserted relations and restrictions. Therefore, we propose a modified metric for measuring IC intrinsically taking both the concept-to-concept and the concept-to-property relations. We evaluate our system theoretically and with experimental data. Our evaluation shows the effectiveness of our modified metric for extracting intrinsic information content to measure semantic similarity among concepts in an ontology.