Abstract
Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. In this paper we describe a way for ontology creation and refinement by combining techniques from natural language processing (NLP) and formal concept analysis (FCA). We point out how synergy between those two fields can be established thereby overcoming each other’s shortcomings.
This work is supported by the German Federal Ministry of Education and Research (BMBF) under the SmartWeb project (grant 01 IMD01 B), by the Deutsche Forschungsgemeinschaft (DFG) under the ReaSem project, and by the European Union under the SEKT project (IST-2003-506826) and the NeOn project (IST-2005-027595).
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Rudolph, S., Völker, J., Hitzler, P. (2007). Supporting Lexical Ontology Learning by Relational Exploration. In: Priss, U., Polovina, S., Hill, R. (eds) Conceptual Structures: Knowledge Architectures for Smart Applications. ICCS 2007. Lecture Notes in Computer Science(), vol 4604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73681-3_41
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DOI: https://doi.org/10.1007/978-3-540-73681-3_41
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