Maps of computer science

Daniel Fried, Stephen G Kobourov

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

23 Citations (Scopus)

Abstract

We describe a practical approach for visual exploration of research papers. Specifically, we use the titles of papers from the DBLP database to create what we call maps of computer science (MoCS). Words and phrases from the paper titles are the cities in the map, and countries are created based on word and phrase similarity, calculated using co-occurence. With the help of heatmaps, we can visualize the profile of a particular conference or journal over the base map. Similarly, heatmap profiles can be made of individual researchers or groups such as a department. The visualization system also makes it possible to change the data used to generate the base map. For example, a specific journal or conference can be used to generate the base map and then the heatmap overlays can be used to show the evolution of research topics in the field over the years. As before, individual researchers or research group profiles can be visualized using heatmap overlays over a specific journal or conference base map. We outline a modular and extensible system for term extraction using natural language processing techniques, and show the applicability of methods of information retrieval to calculation of term similarity and creation of a topic map. The system is available at mocs.cs.arizona.edu.

Original languageEnglish (US)
Title of host publicationIEEE Pacific Visualization Symposium
PublisherIEEE Computer Society
Pages113-120
Number of pages8
ISBN (Print)9781479928736
DOIs
StatePublished - 2014
Event2014 7th IEEE Pacific Visualization Symposium, PacificVis 2014 - Yokohama, Kanagawa, Japan
Duration: Mar 4 2014Mar 7 2014

Other

Other2014 7th IEEE Pacific Visualization Symposium, PacificVis 2014
CountryJapan
CityYokohama, Kanagawa
Period3/4/143/7/14

Fingerprint

Computer science
Information retrieval
Visualization
Processing

Keywords

  • clustering
  • Content Analysis and Indexing-Linguistic processing
  • Information Search and RetrievalClustering
  • Miscellaneous-Information visualization
  • term mapping
  • Topic visualization

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software

Cite this

Fried, D., & Kobourov, S. G. (2014). Maps of computer science. In IEEE Pacific Visualization Symposium (pp. 113-120). [6787157] IEEE Computer Society. https://doi.org/10.1109/PacificVis.2014.47

Maps of computer science. / Fried, Daniel; Kobourov, Stephen G.

IEEE Pacific Visualization Symposium. IEEE Computer Society, 2014. p. 113-120 6787157.

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

Fried, D & Kobourov, SG 2014, Maps of computer science. in IEEE Pacific Visualization Symposium., 6787157, IEEE Computer Society, pp. 113-120, 2014 7th IEEE Pacific Visualization Symposium, PacificVis 2014, Yokohama, Kanagawa, Japan, 3/4/14. https://doi.org/10.1109/PacificVis.2014.47
Fried D, Kobourov SG. Maps of computer science. In IEEE Pacific Visualization Symposium. IEEE Computer Society. 2014. p. 113-120. 6787157 https://doi.org/10.1109/PacificVis.2014.47
Fried, Daniel ; Kobourov, Stephen G. / Maps of computer science. IEEE Pacific Visualization Symposium. IEEE Computer Society, 2014. pp. 113-120
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