Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Approaches to intelligent information retrieval
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Formal ontology, common sense and cognitive science
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Associative Networks: The Representation and Use of Knowledge by Computers
Associative Networks: The Representation and Use of Knowledge by Computers
Natural Language Processing and Speech Technology, Results of the 3rd KONVENS Conference
Natural Language Processing and Speech Technology, Results of the 3rd KONVENS Conference
Ein synkretismusmodell für die deutsche Morphologie
Natural Language Processing and Speech Technology, Results of the 3rd KONVENS Conference
The Treatment of Compounds in a Morphological Component for Speech Recognition
Natural Language Processing and Speech Technology, Results of the 3rd KONVENS Conference
ECDL '97 Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
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This paper presents a clustered approach to designing an overall ontological model together with a general rule-based component that serves as a mapping device.By observational criteria, a multilingual team of experts excerpts concepts from general communication in the media.T he team, then, finds equivalent expressions in English, German, French, and Spanish.O n the basis of a set of ontological and lexical relations, a conceptual network is built up.C oncepts are thought to be universal.Ob jects unique in time and space are identified by names and will be explained by the universals as their instances.Our approach relies on multi-relational descriptions of concepts.It provides a powerful tool for documentation and conceptual language learning.First and foremost, our multi-lingual, polyhierarchical ontology fills the gap of semantically-based information retrieval by generating enhanced and improved queries for internet search.