Abstract
The present paper spans the task of structured representation of search results in developed academic search system. Main contribution of our work is integration into the search process both: 1) structured visualization of search results (clustering and topic graph); 2) providing information about yearly dynamics of topics for query results. The latter makes the system more flexible and suitable for data monitoring. The system can be used not only for academic search, but also for foresight studies.
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CITATION STYLE
Popova, S., Khodyrev, I., Egorov, A., & Danilova, V. (2015). Academic search. Methods of displaying the output to the end user. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9416, pp. 476–480). Springer Verlag. https://doi.org/10.1007/978-3-319-26138-6_51
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