Linguistic Knowledge for Search Relevance Improvement

Gennady S. Osipov, Ivan Smirnov, Ilya A. Tikhomirov, Выборнова Ольга Николаевна, Olga S. Zavjalova · Joint Conference on Knowledge-Based Software Engineering · 2006

The paper presents methods and software implementation for semantically relevant search. We mainly focus on the usage of linguistic knowledge for improvement of semantic relevance in search engines. We state the effectiveness of information retrieval systems based on semantic search involving refined linguistic processing tools. Advantages of semantic search in comparison with traditional search engines are discussed.

Read the paper · More papers on PaperTik