Abstract
Intelligent methods for automatic text processing require linking between lexical resources (texts) and ontologies that define semantics. However, one of the main problems is that while building ontologies, the main effort is put to the construction of the conceptual part, whereas the lexical aspects of ontologies are usually diminished. Therefore, analyzing texts, it is usually difficult to map words to concepts from the ontology. Usually one should consider various linguistic relationships, such as homonymy, synonymy, etc. However, they are not clearly reflected in the conceptual part. We propose LEXO - a special lexical layer, which is thought as a bridge between text and the conceptual core of the ontology. LEXO is dedicated to storing linguistic relationships along with textual evidence for the relationships (as discovered in the text mining process). In addition, we present an algorithm based on LEXO for determining meaning of a given term in an analyzed text.
This work is supported by the National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 by the Strategic scientific research and experimental development program: “In-terdisciplinary System for Interactive Scientific and Scientific-Technical Information”.
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Protaziuk, G., Wróblewska, A., Bembenik, R., Rybiński, H., Podsiadły-Marczykowska, T. (2012). Lexical Ontology Layer – A Bridge between Text and Concepts. In: Chen, L., Felfernig, A., Liu, J., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2012. Lecture Notes in Computer Science(), vol 7661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34624-8_20
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