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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 6 Similar Profiles
Students Engineering & Materials Science
Geographic information systems Engineering & Materials Science
Mobile phones Engineering & Materials Science
Tanzania Social Sciences
accountability Earth & Environmental Sciences
Earth (planet) Engineering & Materials Science
empowerment Earth & Environmental Sciences
student Earth & Environmental Sciences

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Research Output 1993 2019

Hackathon Report: House of Apps: Create great apps for citizens

Lemmens, R. L. G. (ed.) & Antoniou, V. (ed.), 2019, Citizen Science COST Action CA15212. 11 p.

Research output: Book/ReportReportProfessional

Open Access
File
1 Citation (Scopus)
17 Downloads (Pure)

Finding and sharing GIS methods based on the questions they answer

Scheider, S., Ballatore, A. & Lemmens, R., 7 May 2018, In : International journal of digital earth. p. 1-20 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Geographic information systems
containment
Semantics
Information science
Query languages

Implementation Of A Comprehensive And Effective Geoprocessing Workflow Environment

Lemmens, R., Toxopeus, B., Boerboom, L., Schouwenburg, M., Retsios, B., Nieuwenhuis, W. & Mannaerts, C., 11 Jul 2018, FOSS4G 2018 : – Academic Track (Volume XLII-4/W8) 29–31 August 2018, Dar es Salaam, Tanzania: ISPRS 2018. Brovelli, M. A. & Namangaya, A. H. (eds.). 4W8 ed. International Society for Photogrammetry and Remote Sensing (ISPRS), Vol. XLII-4/W8. p. 123-127 5 p. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
workflow
Information systems
software
Electric grounding
Processing
11 Downloads (Pure)

LINKDALE: A lightweight learning environment for (geospatial) linked data

Ronzhin, S., Bosch, G., Folmer, E. & Lemmens, R., 11 Jul 2018, In : International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 42, 4, p. 187-190

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Students
Query languages
Logistics
Education
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