Title :
Semantic proximity in information retrieval and documents classification
Author :
Vishnyakov, Yury ; Vishnyakov, Renat
Author_Institution :
Fac. of Autom. & Comput. Eng., Southern Fed. Univ., Taganrog, Russia
Abstract :
The paper presents a formal approach to the semantic interpretation of scientific and technical texts. Semantic proximity expression by means of a linguistic variable and its application to the information retrieval and documents classification are shown.
Keywords :
classification; information retrieval; natural language processing; text analysis; document classification; information retrieval; linguistic variable; scientific text; semantic interpretation; semantic proximity; technical text; Context; Educational institutions; Information retrieval; Natural languages; Pragmatics; Semantics; Text analysis;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2013 IEEE 14th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-0194-4
DOI :
10.1109/CINTI.2013.6705178
