• 445 Citations
  • 10 h-Index
19952019
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Personal profile

Biography

My main research interests are: natural and formal language processing, in particular: controlled natural languages, answer extraction, knowledge representation, (probabilistic) logic programming, and the Semantic Web.

Fingerprint Dive into the research topics where Rolf Schwitter is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Natural Language Mathematics
Specifications Engineering & Materials Science
Ontology Engineering & Materials Science
Formal languages Engineering & Materials Science
File editors Engineering & Materials Science
Specification languages Engineering & Materials Science
Probabilistic logics Engineering & Materials Science
Processing Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2006 2018

Research Outputs 1995 2019

Answering why-questions using probabilistic logic programming

Salam, A., Schwitter, R. & Orgun, M., 2019, (Accepted/In press). 12 p.

Research output: Contribution to conferencePaperResearchpeer-review

Probabilistic logics
Logic programming
Artificial intelligence
Learning systems

Real-time event detection from the Twitter data stream using the TwitterNews+ framework

Hasan, M., Orgun, M. A. & Schwitter, R., May 2019, In : Information Processing and Management. 56, 3, p. 1146-1165 20 p.

Research output: Contribution to journalArticleResearchpeer-review

twitter
event
Sensitivity analysis
Costs
costs

Specifying weak constraints in Processable English

Schwitter, R., 29 Jan 2019, Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2019. New York: Association for Computing Machinery, 4 p. 56

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

Specifications

A survey on real-time event detection from the Twitter data stream

Hasan, M., Orgun, M. A. & Schwitter, R., 1 Aug 2018, In : Journal of Information Science. 44, 4, p. 443-463 21 p.

Research output: Contribution to journalArticleResearchpeer-review

twitter
event
proliferation
networking
time

Learning effect axioms via probabilistic logic programming

Schwitter, R., 1 Feb 2018, ICLP 2017: Technical Communications of the 33rd International Conference on Logic Programming. Rocha, R., Son, T. C., Mears, C. & Saeedloei, N. (eds.). Saarbrücken/Wadern: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 1-15 15 p. 8. (OASIcs; vol. 58).

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

Open Access
File
Probabilistic logics
Probabilistic Programming
Learning Effect
Probabilistic Logic
Logic programming