Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Models of incremental concept formation
Artificial Intelligence
Concept formation knowledge and experience in unsupervised learning
Concept formation knowledge and experience in unsupervised learning
KIDS: An Iterative Algorithm to Organize Relational Knowledge
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Structuring Knowledge Bases Using Automatic Learning
Proceedings of the Sixth International Conference on Data Engineering
Conceptual Graphs: Draft Proposed American National Standard
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
A Conceptual Graph Model for W3C Resource Description Framework
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Extension of RDFS Based on the CGs Formalisms
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Web Semantics: Science, Services and Agents on the World Wide Web
Context Graphs -- Representing Formal Concepts by Connected Subgraphs
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
On the need to bootstrap ontology learning with extraction grammar learning
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
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This paper presents a method for building concept lattices by learning concepts from RDFa nnotations of Web documents. It consists in extracting conceptual descriptions of the Web resources from the RDFg raph gathering all the resource annotations and then forming concepts from all possible subsets of resources - each such subset being associated with a set of descriptions shared by the resources belonging to it. The concept hierarchy is the concept lattice built upon a context built from the power context family representing the RDFg raph. In the framework of the CoMMA European IST project dedicated to ontologyguided Information Retrieval in a corporate memory, the hierarchy of the so learned concepts will enrich the ontology of primitive concepts, organize the documents of the organization's Intranet and then improve Information Retrieval. The RDFM odel is close to the Simple Conceptual Graph Model; our method can be thus generalized to Simple Conceptual Graphs.