CYC, WordNet, and EDR: critiques and responses
Communications of the ACM
A Formal Ontology of Properties
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Polysemy and sense proximity in the Senseval-2 test suite
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
WordNet Nouns: Classes and Instances
Computational Linguistics
The Semantic Web: Apotheosis of Annotation, but What Are Its Semantics?
IEEE Intelligent Systems
Reducing the Representation Complexity of Lattice-Based Taxonomies
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
Methodologies for the reliable construction of ontological knowledge
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
Linguistic applications of formal concept analysis
Formal Concept Analysis
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Problems of conceptualization in linguistic ontologies are discussed We show that it is necessary to form concepts of a linguistic ontology as close as possible to the meanings of linguistic units, because excessive generalization and clustering of meanings necessarily lead to distortions in the system of relations, excessive problems in a specific subject field, or an application. At the same time it is important to ensure that concepts can be distinguished from superconcepts and sibling concepts. The usage of really existing multiword expressions helps us mitigate these contradictory requirements. The introduction of concepts on the basis of multiword expressions does not change the essence of a linguistic ontology, but also makes the distinction between the concepts much clearer.