Sammanfattning
| Originalspråk | engelska |
|---|---|
| Sidor | 65-68 |
| Antal sidor | 4 |
| DOI | |
| Status | Publicerad - 2017 |
| MoE-publikationstyp | Ej behörig |
| Evenemang | ACM Workshop on Exploratory Search and Interactive Data Analytics - Limassol, Cypern Varaktighet: 13 mar 2017 → 13 mar 2017 http://iui.acm.org/2017/ |
Konferens
| Konferens | ACM Workshop on Exploratory Search and Interactive Data Analytics |
|---|---|
| Förkortad titel | ESIDA 2017 |
| Land | Cypern |
| Ort | Limassol |
| Period | 13/03/2017 → 13/03/2017 |
| Internetadress |
Vetenskapsgrenar
- 113 Data- och informationsvetenskap
Citera det här
}
Exploring scientific literature search through topic models. / Sorkhei, A.; Ilves, K.; Glowacka, D.
2017. 65-68 Poster presenterad vid ACM Workshop on Exploratory Search and Interactive Data Analytics, Limassol, Cypern.Forskningsoutput: Konferensbidrag › Poster › Forskning
TY - CONF
T1 - Exploring scientific literature search through topic models
AU - Sorkhei, A.
AU - Ilves, K.
AU - Glowacka, D.
N1 - Poster.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Document search
KW - Exploratory search
KW - Scientific literature
KW - Search queries
KW - Search-based
KW - Topic model
KW - Traditional systems
KW - User study
KW - 113 Computer and information sciences
U2 - 10.1145/3038462.3038464
DO - 10.1145/3038462.3038464
M3 - Poster
SP - 65
EP - 68
ER -