Abstract

The creation of the intellectual search engine was reviewed based on the domain thesaurus. Text linguistics was taken as the example of domain. The approach to the creation of semantic metrics was suggested based on such a thesaurus. For this aim the weights of importances of the groups relations were introduced between the thesaurus terms (synonyms, correlates, holonyms, meronyms, hyperonyms). The thesaurus was converted into the weighted conceptual graph. Based on Floyd-Warshall algorithm the distances between the terms of weighted conceptual graph were found. Those distances were used during the intellectual search of relevant text documents based on the key words. If some key words are not mentioned in the text document, the search engine looks for the most related term to the searched one. The efficiency of the proposed approach was introduced in comparison to other methods.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.