Exploring Scientific Literature Search Through Topic Models

Amin Sorkhei, Kalle Ilves, Dorota Glowacka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the fast growing amount of scientific literature, browsing through it can be a dicult task: formulating a precise query may be problematic as new research areas emerge quickly and different terms are often used to describe the same concept. To tackle some of these issues, we built a system for exploratory scientific search based on topic models. An initial short user study shows that through visualizing the relationship between keyphrases, documents and authors, the system allows the user to better explore the document search space compared to traditional systems based solely on search query.
Original languageEnglish
Title of host publicationProceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics
Place of PublicationNew York, NY, USA
PublisherACM
Pages65-68
Number of pages4
ISBN (Print)978-1-4503-4903-1
DOIs
Publication statusPublished - 13 Mar 2017
Event2017 ACM Workshop on Exploratory Search and Interactive Data Analytics - Limassol, Cyprus
Duration: 13 Mar 201716 Mar 2017
http://iui.acm.org/2017/

Publication series

NameESIDA '17
PublisherACM

Conference

Conference2017 ACM Workshop on Exploratory Search and Interactive Data Analytics
Abbreviated titleACM IUI 2017
Country/TerritoryCyprus
CityLimassol
Period13/03/1716/03/17
Internet address

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