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conference abstract · International Conference on Computer Systems and Technologies (CompSysTech) · 2007

A method for ontologies structures and contents comparison

Radek Jun, Ivan Jelínek

Cited by 0Abstract and details only

Abstract

Growth of an internet information source makes harder to user effective finding relevant information. Search engines and category hierarchical systems deal mainly with human purpose. But if there are the machines for integration or for adaptation used, then some meta-data information (data about data) have to be added to the processed data. There are some possibilities to store the meta-data information - the very effective one is an ontology representation.

Cite this paper

APA 7

Jun, R., & Jelínek, I. (2007). A method for ontologies structures and contents comparison. International Conference on Computer Systems and Technologies (CompSysTech), 1. https://doi.org/10.1145/1330598.1330658

MLA 9

Jun, Radek, and Ivan Jelínek. “A method for ontologies structures and contents comparison.” International Conference on Computer Systems and Technologies (CompSysTech), 2007, p. 1, https://doi.org/10.1145/1330598.1330658.

Chicago

Jun, Radek, and Ivan Jelínek. 2007. “A method for ontologies structures and contents comparison.” International Conference on Computer Systems and Technologies (CompSysTech): 1. https://doi.org/10.1145/1330598.1330658.

Harvard

Jun, R. and Jelínek, I. (2007) ‘A method for ontologies structures and contents comparison’, International Conference on Computer Systems and Technologies (CompSysTech), p. 1. Available at: https://doi.org/10.1145/1330598.1330658.

BibTeX
@article{jun2007method,
  title = {{A method for ontologies structures and contents comparison}},
  author = {Jun, Radek and Jelínek, Ivan},
  journal = {International Conference on Computer Systems and Technologies (CompSysTech)},
  pages = {1},
  year = {2007},
  doi = {10.1145/1330598.1330658}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

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