Research Output per year
Research Output per year
Personal profile
Scientific Focus
My interests are in the area of logical and mathematical modeling for knowledge representation and processing; amongst others I am intested in the following topics.
- Description Logics
- Ontologies
- Temporal logics
- Non-monotonic reasoning
- Qualitative spatial reasoning
- Stream processing
- Knowledge revision
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Areas and Centers
- Research Area: Intelligent Systems
Fingerprint
Dive into the research topics where Özgür Lütfü Özcep is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Bounded-Memory Criteria for Streams with Application Time
Schiff, S. & Özcep, Ö. L., 2020, Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Cones, Negation, and All That
Özçep, Ö. L., Leemhuis, M. & Wolter, D., 09.09.2020, KI 2020: KI 2020: Advances in Artificial Intelligence. Schmid, U., Klügl, F. & Wolter, D. (eds.). Springer, Cham, Vol. 12325 LNAI. p. 235-239 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12325 LNAI).Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Cone semantics for logics with negation
Özçep, Ö. L., Leemhuis, M. & Wolter, D., 08.07.2020, p. 1820 - 1826. 7 p.Research output: Contribution to conference › Conference Papers › peer-review
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Handbuch der Künstlichen Intelligenz
Wolter, D. & Özçep, Ö. L., 2020, Handbuch der Künstlichen Intelligenz: Kapitel 4: Wissen {\"u}ber Raum und Zeit. De Gruyter, p. 101-142 42 p.Research output: Chapters in Books/Reports/Conference Proceedings › Chapter › peer-review
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Multi-label Learning with a Cone-Based Geometric Model
Leemhuis, M., Özçep, Ö. L. & Wolter, D., 10.09.2020, ICCS 2020: Ontologies and Concepts in Mind and Machine. Alam, M., Braun, T. & Yun, B. (eds.). Springer, Cham, Vol. 12277 LNAI. p. 177-185 9 p. (Lecture Notes in Computer Science; vol. 12277 LNAI).Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review