Exploring scientific literature search through topic models

A. Sorkhei, K. Ilves, D. Glowacka

Research output: Conference materialsPoster

Abstract

With the fast growing amount of scientific literature, browsing through it can be a difficult task: formulating a precise query may be problematic as new research areas emerge quickly and di?erent 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. © 2017 ACM.
Original languageEnglish
Pages65-68
Number of pages4
DOIs
Publication statusPublished - 2017
MoE publication typeNot Eligible
EventACM Workshop on Exploratory Search and Interactive Data Analytics - Limassol, Cyprus
Duration: 13 Mar 201713 Mar 2017
http://iui.acm.org/2017/

Conference

ConferenceACM Workshop on Exploratory Search and Interactive Data Analytics
Abbreviated titleESIDA 2017
CountryCyprus
CityLimassol
Period13/03/201713/03/2017
Internet address

Fields of Science

  • Document search
  • Exploratory search
  • Scientific literature
  • Search queries
  • Search-based
  • Topic model
  • Traditional systems
  • User study
  • 113 Computer and information sciences

Cite this

Sorkhei, A., Ilves, K., & Glowacka, D. (2017). Exploring scientific literature search through topic models. 65-68. Poster session presented at ACM Workshop on Exploratory Search and Interactive Data Analytics, Limassol, Cyprus. https://doi.org/10.1145/3038462.3038464