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Construction of a medical corpus based on information extraction results

Marciniak M., Mykowiecka A.

Control and Cybernetics

2011

Vol. 40, no 2

337-360

The paper presents a method of automatic construction of a semantically annotated corpus using the results of a rulebased information extraction (IE) application. Construction of the corpus is based on using existing programs for text tokenization and morphological analysis and combining their results with domain related correction rules. We reuse the specialized IE system to obtain a corpus annotated on the semantic level. The texts included within the corpus are Polish free text clinical data. We present the documents - diabetic patients' discharge records, the structure of the corpus annotation and the methods for obtaining the annotations. Initial evaluations based on the results of manual verification of selected data subset are also presented. The corpus, once manually corrected, is designed to be used for developing supervised machine learning models for IE applications.

Semantic annotation of hierarchical taxonomies

Ławrynowicz A.

Archives of Control Sciences

2005

Vol. 15, no. 3

349-357

Hierarchical taxonomies (HTs) like Web directories or marketplace catalogs are used to organize documents in a way that helps user in their retrieval. However, using HTs in tasks like automatic schema mapping or automatic services discovery requires the semantics of HTs hidden in their structures and labels to be made explicit. The goal of this paper is given a hierarchical taxonomy, return an interpretation of each node in terms of a logical formula built from word senses. In the proposed methodology we rely on a linguistic repositoryWordNet and we use Bayesian networks as a tool for the word sense disambiguation.

Information searching for an experience management platform of the EU Pellucid project

Majewska M., Krawczyk K., Słota R., Kitowski J., Hluchy L., Lambert S.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

2004

Vol. 8, No 4

513-523

The EU Pellucid project is developing an experience management system for public organizations with staff mobility. The paper presents an activity whitin the project focused on searching for information in repositories of documents. The project's background and the process of information searching are described. Ontological methods such as semantic annotation and similarity searching, as well as ontology- and full-text-based searching are presented. Monitoring of organizational repositories is discussed.