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- 235 creator berenike-loos.
- 235 creator lasse-schwarten.
- 235 type InProceedings.
- 235 label "A Semantic Memory for Incremental Ontology Population".
- 235 sameAs 235.
- 235 abstract "Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontology is created or populated, an expert of the domain can still change or refine the newly acquired knowledge. In an incremental ontology learning framework (as e.g. applied for open-domain dialog systems) this approach is not sufficient as knowledge about the real world is dynamic and, therefore, has to be acquired and updated constantly. In this paper we propose the storing of newly acquired instances of an ontological concept in a separate database instead of integrating them directly into the system s knowledge base. The advantage is that possibly incorrect knowledge is not part of the system s ontology but stored aside. Furthermore, information about the confidence about the learned instances can be displayed and used for a final revision as well as a further automatic acquisition.".
- 235 hasAuthorList authorList.
- 235 hasTopic Linguistics.
- 235 isPartOf proceedings.
- 235 keyword "Knowledge representation".
- 235 keyword "Lexicon, lexical database".
- 235 keyword "Ontologies".
- 235 title "A Semantic Memory for Incremental Ontology Population".