20142019
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Personal profile

Research

I work as a postdoctoral researcher in KRR group, led by  Frank van Harmelen, which is a part of Artifical intelligence research unit at the Computer Science department of Vrije Universiteit Amsterdam. My research is funded by the NWO TOP-Grant project MaestroGraph.

My primary interest lies in logic, decision theory and game theory, and their interactions. In particular, I like to pursue research on foundations, and investigate new algorithmic and conceptual aspects of things. Lately, I also got an interest in statistical relational learning.  The following is a list of coarse-grained keywords which represents my high-level interests:

  • Logic in Computer Science
  • Algorithmic Game/Decision Theory
  • Relational Machine Learning

 

See my personal website for more information: https://sites.google.com/view/ermanacar

 

 

Ancillary activities

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Ancillary activities are updated daily

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

Ontology Engineering & Materials Science
Decision making Engineering & Materials Science
Semantics Engineering & Materials Science
Semantic Web Engineering & Materials Science
Decision theory Engineering & Materials Science
Supervised learning Engineering & Materials Science
Expert systems Engineering & Materials Science
Knowledge representation Engineering & Materials Science

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

Research Output 2014 2019

Making decisions over contextual ontologies

Acar, E., Penaloza, R. & Predoiu, L., 2019, Description Logics 2019 International Workshop on Description Logics: Proceedings of the 32nd International Workshop on Description Logics, DL 2019; Oslo; Norway; 18 June 2019 through 21 June 2019. Šimkus, M. & Weddell, G. (eds.). CEUR, p. 1-12 12 p. (CEUR Workshop Proceedings; vol. 2373).

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

Open Access
File
Ontology
Decision making
Knowledge representation
Costs
Uncertainty

Satisfiability in Strategy Logic can be Easier than Model Checking

Acar, E., Benerecetti, M. & Mogavero, F., 2019, (Accepted/In press) Proceedings of AAAI Conference on Artificial Intelligence 2019.

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

Open Access
File

Semi-Supervised Learning using Differentiable Reasoning

van Krieken, E., Acar, E. & van Harmelen, F., 2019, (Accepted/In press) In : IFCoLog Journal of Logic and its Applications. 6, 4, p. 633-653 20 p.

Research output: Contribution to JournalSpecial issue (editing)Academicpeer-review

File
Supervised learning
Semantics

Knowledge Representation for Automated Decision Making

Acar, E., 2018, Mannheim University Library . 184 p.

Research output: Book / ReportBookAcademicpeer-review

Preferential default reasoning on the semantic web

Kiesel, R., Acar, E. & Schlobach, S., 2018, Description Logics DL 2018: Proceedings of the 31st International Workshop on Description Logics co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, Arizona, US, October 27thto 29th, 2018. Ortiz, M. & Schneider, T. (eds.). p. 1-12 12 p. (CEUR Workshop Proceedings; vol. 2211).

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

Open Access
Semantic Web
Semantics
Set theory
Ontology