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EN
In the paper, the possibility of ConceptNet application for knowledge management of texts in the Polish and English language is discussed. ConceptNet is a freely-available semantic network, designed to help computers understand the meanings of words that people use, it contains concepts from many languages. The semantics of ConceptNet is presented in the context of the semantics of the EuroVoc which is based on the SKOS standard. Indexing tool, created by authors, based on ConceptNet is briefly described. Tests of texts indexing with the use of papers in Polish and English language were performed. Results are analyzed and evaluated. At the end, some conclusions about the quality of results are formulated.
2
Content available Towards the data structure for effective word search
EN
In the paper problem of searching basic forms for words in the Polish language is discussed. Polish language has a very extensive inflection and effective method for finding base form is important in many NLP tasks for example text indexing. The method for searching, based on open-source dictionary of Polish language, is presented. In this method it is important to design a structure for storing all words from dictionary, in such a way that it allows to quickly find basic words forms. Two dictionary structures: ternary search tree and associative table are presented and discussed. Tests are performed on the six actual and three crafted artificial texts and results are compared with other possible dictionary structures. At the end conclusions about structures effectiveness are formulated.
3
Content available The dictionary structure for effective word search
EN
In the paper some issues connected with indexing documents in the Polish language are discussed. Algorithms for stemming and part of speech tagging, important in the process of text analysis and indexing are shortly described. Next their suitability to the Polish language, which has a very extensive inflection, is discussed. The usefulness for stemming and part of speech tagging of large dictionaries with inflected forms, like WordNet and open-source dictionary of Polish language is also described. Two dictionary structures enabling effective word searching are presented. In the final part, some tests of implemented two dictionary structures are described. Tests were made on the six actual and three crafted artificial texts. At the end conclusions of performed tests are formulated.
EN
Ontologies recently have important role especially in knowledge management systems dedicated for agriculture. In the paper, issues related to indexing documents against the ontology, are presented and discussed. Problems with indexing documents in Polish language which has an extensive inflection are described. There are presented and discussed examples of ontologies and thesauri in the field of life sciences, in particular possible to use to describe aspects of plant production. We have tested Agrotagger the existing tool for indexing agricultural texts with publication in Polish. Original software developed for indexing web pages in Polish against potato ontology is described. In the final part some conclusions and plans for further research are formulated.
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