Prof. Dr.-Ing. Anni-Yasmin Turhan

Knowledge Representation

Section Owner

Contact and Affiliations

E-Mail:
turhan@uni-paderborn.de
Phone:
+49 5251 60-6341
Web:
Homepage
Office Address:
Fürstenallee 11
33102 Paderborn
Room:
F2.101

About Anni-Yasmin Turhan

I am head of the group Knowledge Representation. My research interests are the foundations of logic-based Systems. The core of such systems are reasoning problems for logis. In my research, I investigate the properties of such problems in regard of the formalism in use and develop reasoning procedures.

Primarily, I work on Description Logics (DLs), which are decidable fragments of first-orderlogic and can model terminologies from application domains in a declarative way. The modelled concepts can semantically enrich data and allow to infer new information. The main focus of my current research is on methods for symbolic learning (of concepts) in DLs and on "robust" queries over DL knowledge bases, which are inconsistency-tolerant or admit relaxation of queries.

Research

Research Interests

  • Methods for learning description logic concepts or queries from examples
  • nonmonotonic reasoning in description logics
  • Methods for answering relaxed queries over description logic knowledge bases

Publications

Latest Publications

Reasoning in Rough Description Logics with Multiple Indiscernibility Relations

R. Peñaloza, A.-Y. Turhan, in: S. Kirrane, M. Simkus, A. Soylu, D. Roman (Eds.), Rules and Reasoning - 8th International Joint Conference, RuleML+RR 2024, Bucharest, Romania, September 16-18, 2024, Proceedings, Springer, 2024, pp. 142–158.

DOI

Optimal Alignment of Temporal Knowledge Bases (Extended Abstract)

O.F. Gil, F. Patrizi, G. Perelli, A.-Y. Turhan, in: L. Giordano, J.C. Jung, A. Ozaki (Eds.), Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024, CEUR-WS.org, 2024.


Rough, Rougher, Roughest: Extending EL with a Hierarchy of Indiscernibility Relations

R. Peñaloza, A.-Y. Turhan, in: L. Giordano, J.C. Jung, A. Ozaki (Eds.), Proceedings of the 37th International Workshop on Description Logics (DL 2024), Bergen, Norway, June 18-21, 2024, CEUR-WS.org, 2024.

test

Optimal Alignment of Temporal Knowledge Bases

O.F. Gil, F. Patrizi, G. Perelli, A.-Y. Turhan, CoRR abs/2307.15439 (2023).

DOI

Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint DL+NMR Invited Talk)

A.-Y. Turhan, in: O. Kutz, C. Lutz, A. Ozaki (Eds.), Proceedings of the 36th International Workshop on Description Logics {(DL} 2023) Co-Located with the 20th International Conference on Principles of Knowledge Representation and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023, CEUR-WS.org, 2023.


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Teaching

Teaching Areas

The courses held by the Knowledge Representation group mainly focus on logics and logical reasoning. Here, the main taught notions and methods often come from theoretical computer science, for example decidability, comutational complexity and proof methods. Thus we offer in the bachelor studies courses with topics from theoretical computer science. In the master studies, we offer courses on the foundational logics used for knowledge representation and their reasoning problems. There are courses on description Logics and on logics for nonmonotonic reasoning.


Current Courses

  • Seminar: Advanced topics in Description Logics (in English)
  • Modellierung
  • Knowledge Base Engineering (in English)