. "P(1ET100300419), Z(MSM6383917201)" . "2"^^ . "Nov\u00E1\u010Dek, V\u00EDt" . "knowledge acquisition; ontology; uncertainty representation"@en . . "Springer-Verlag" . . . "The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents our research on uncertainty handling in automatically created ontologies. A new framework for uncertain information processing is proposed. The research is related to OLE (Ontology LEarning) --- a project aimed at bottom--up generation and merging of domain--specific ontologies. Formal systems that underlie the uncertainty representation are briefly introduced. We discuss the universal internal format of uncertain conceptual structures in OLE then and offer a utilisation example then. The proposed format serves as a basis for empirical improvement of initial knowledge acquisition methods as well as for general explicit inference tasks."@en . "Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework"@cs . . "14330" . "14"^^ . "RIV/00216224:14330/06:00015341!RIV10-AV0-14330___" . "[894A1EED0E16]" . "The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents our research on uncertainty handling in automatically created ontologies. A new framework for uncertain information processing is proposed. The research is related to OLE (Ontology LEarning) --- a project aimed at bottom--up generation and merging of domain--specific ontologies. Formal systems that underlie the uncertainty representation are briefly introduced. We discuss the universal internal format of uncertain conceptual structures in OLE then and offer a utilisation example then. The proposed format serves as a basis for empirical improvement of initial knowledge acquisition methods as well as for general explicit inference tasks."@cs . . . . "The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents our research on uncertainty handling in automatically created ontologies. A new framework for uncertain information processing is proposed. The research is related to OLE (Ontology LEarning) --- a project aimed at bottom--up generation and merging of domain--specific ontologies. Formal systems that underlie the uncertainty representation are briefly introduced. We discuss the universal internal format of uncertain conceptual structures in OLE then and offer a utilisation example then. The proposed format serves as a basis for empirical improvement of initial knowledge acquisition methods as well as for general explicit inference tasks." . . . . "2006-01-01+01:00"^^ . . . . "Budva, Montenegro" . . "Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework"@cs . . "Smr\u017E, Pavel" . "Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework" . . "Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework"@en . "Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework" . "The Semantic Web: Research and Applications (Lecture notes in Computer Science 4011 / 2006 - Proceedings of ESWC'06 - 3rd European Semantic Web Conference)" . "RIV/00216224:14330/06:00015341" . "2"^^ . . . "Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework"@en . "474056" . "3-540-34544-2" . "Berlin" .