Document retrieval methods, implemented for large document collections and document classification methods often use predefined description of subject categories to improve their efficiency. In the article the original method for automated construction of a hierarchical concept structure is presented. The structure is built through an analysis of the documents in a collection. Such a structure makes efficient concept browsing and searching feasible and simplifies defining of subject category descriptions for arbitrary document collections. The method is independent of language used in documents. Two improvements are introduced as well, aiming at connecting the concepts semantically and improving a processing capacity of the method.

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URN

URN:NBN:SI:DOC-5SPF5P3D

COBISSID

7301910

Added

27.10.2023

Metadata

Citation

APA:

Leskovar, Robert T., Györkös, József, Rozman, Ivan (2002). Gradnja hierarhične strukture konceptov iz nestrukturiranih tekstovnih dokumentov. Uporabna informatika (Ljubljana), volume 10, issue 2, str. 102-112. URN:NBN:SI:DOC-5SPF5P3D from http://www.dlib.si

MLA:

Leskovar, Robert T., Györkös, József, Rozman, Ivan. "Gradnja hierarhične strukture konceptov iz nestrukturiranih tekstovnih dokumentov." Uporabna informatika (Ljubljana) volume 10. issue 2 (2002) str. 102-112.
<http://www.dlib.si/?URN=URN:NBN:SI:DOC-5SPF5P3D>

Uporabna informatika
1993-
(Assembly record)