Abstract
The paper presents a methodology for creating a semantic model of disease symptoms. The source material for the methodology are medical texts describing the symptoms. Semantic descriptions are automatically extracted from text using natural language processing methods and lexical resources. The methods transform text describing symptoms into a set of rules constituting their semantic descriptions. The descriptions consist of a number of concepts and relations between them. Combining all such descriptions forms a model of the disease symptoms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Braun-Falco, O., Plewig, G., Wolff, H.H., et al.: Dermatologia. Czelej, Lublin (2004)
Broda, B., Derwojedowa, M., Piasecki, M.: Recognition of Structured Collocations in An Inflective Language. In: Proceedings of the International Multiconference on Computer Science and Information Technology - 2nd International Symposium Advances in Artificial Intelligence and Applications (AAIA 2007), pp. 237–246 (2007)
Broda, B., Derwojedowa, M., Piasecki, M., Szpakowicz, S.: Corpus-based Semantic Relatedness for the Construction of Polish WordNet. In: Proceedings of the 6th Language Resources and Evaluation Conference, LREC 2008 (2008)
Ceglarek, D., Rutkowski, W.: Automated Acquisition of Semantic Knowledge to Improve Efficiency of Information Retrieval Systems. In: 9th International Conference on Business Information Systems (BIS 2006). LNI - Proceedings, Klagenfurt, Austria, Bonn, May 31-June 2 (2006)
Cimiano, P., Staab, S.: Learning concept hierarchies from text with a guided agglomerative clustering algorithm. In: Proceedings of the Workshop on Learning and Extending Lexical Ontologies with Machine Learning Methods, Bonn, Germany (2005)
Derwojedowa, M., Piasecki, M., Szpakowicz, S., Zawisł awska, M., Broda, B.: Words, Concepts and Relations in the Construction of Polish WordNet. In: Tanâcs, A., Csendes, D., Vincze, V., Fellbaum, C., Vossen, P. (eds.) Proceedings of the Global WordNet Conference, vol. 22-25, pp. 162–177. University of Szeged, Hungary (2008)
Faure, D., Nedellec, C.: Knowledge acquisition of predicate argument structures from technical texts using machine learning: The system asium. In: Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management (EKAW), Dagstuhl Castle, Germany (1999)
Hahn, U., Romacker, M.: Content management in the syndikate system: How technical documents are automatically transformed to text knowledge bases. Data & Knowledge Engineering 35(1), 137–159 (2000)
Harris, Z.: Methods in Structural Linguistics. University of Chicago Press, Chicago (1951)
Jaszuk, M., Szostek, G., Walczak, A.: An Ontology Building System for Structuring Medical Diagnostic Knowledge. In: 3rd Conference on Human System Interaction, pp. 203–210. Rzeszow (2010)
Maedche, A., Volz, R.: The ontology extraction & maintenance framework: Text-to-onto. In: Proceedings of the IEEE International Conference on Data Mining, California, USA (2001)
Oliveira, A., Pereira, F., Cardoso, A.: Automatic reading and learning from text. In: Proceedings of the International Symposium on Artificial Intelligence (ISAI), Kolhapur, India (2001)
Polański, K. (ed.): Słownik syntaktyczno-generatywny czasowników polskich, Kraków, vol. 1-7 (1908-1993)
Przepiórkowski, A.: The IPI PAN Corpus. Preliminary Version. Institute of Computer Science PAS, Warsaw (2004)
Szczeklik, A. (ed.): Choroby wewnȩtrzne. Medycyna praktyczna, Kraków (2006)
Szpakowicz, S.: Formalny opis składniowy zdań polskich. Wydawnictwa UW (1983)
Velardi, P., Navigli, R., Cucchiarelli, A., Neri, F.: Evaluation of ontolearn, a methodology for automatic learning of ontologies. In: Buitelaar, P., Cimmiano, P., Magnini, B. (eds.) Ontology Learning from Text: Methods, Evaluation and Applications. IOS Press, Amsterdam (2005)
Velardi, P., Fabriani, P., Missikoff, M.: Using text processing techniques to automatically enrich a domain ontology. In: Proceedings of the International Conference on Formal Ontology in Information Systems (FOIS), Ogunquit, Maine (2001)
Woliński, M.: System znaczników syntaktycznych w korpusie IPI PAN, Poloniki, vol. XXII/XXIII, pp. 39–55 (2003)
Woliński, M.: Morfeusz - a Practical Tool for the Morphological Analysis of Polish. In: Woliński, M. (ed.) Intelligent Information Processing and Web Mining, Advances in Soft Computing, vol. 35, pp. 511–520. Springer, Heidelberg (2006)
Ontology Online, http://ontologyonline.org/ (accessed November 27, 2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Szostek, G., Jaszuk, M. (2011). Automatic Supply of a Medical Knowledge Base Using Linguistic Methods. In: Ryżko, D., Rybiński, H., Gawrysiak, P., Kryszkiewicz, M. (eds) Emerging Intelligent Technologies in Industry. Studies in Computational Intelligence, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22732-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-22732-5_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22731-8
Online ISBN: 978-3-642-22732-5
eBook Packages: EngineeringEngineering (R0)