Curriculum Vitae and Publications Dr. Rima Türker

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Dr. Rima Türker

Scientific Co-Worker

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Education:

2016 Ph.D. of Computer Science, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB), Linked Data Entity Categorization and Disambiguation.
2014 - 2016 M.Sc. Computer Science, Hacettepe University, Ankara, Turkey.
2012 - 2007 B.Sc. of Computer Engineering, Cankaya University, Ankara, Turkey.

Master Thesis

Rima Türker: Topic Model Based Recommendation Systems for Retailers, 2016.
Supervisors: Asst. Prof. Dr. Gönenç Ercan and Asst. Prof. Dr. Joschka Boedecker [local copy (PDF)]

Experience

Academic
- 2017 Teacher Assistant of Information Service Engineering, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB).
Vocational
- 2017 Data Analysts, Sisoft Healthcare Information Systems, Ankara,Turkey.
- 2012 - 2016 Software Engineer, ETAElectronic DesignIndustry Inc, Ankara,Turkey.

R. Türker, L. Zhang, M. Alam, H. Sack:
Weakly Supervised Short Text Categorization Using World Knowledge. In Proceedings of the 19th International Semantic Web Conference (ISWC 2020), Research Track, pp. 584-600. DOI: https://doi.org/10.1007/978-3-030-62419-4_339 [local copy (PDF)]
M. Alam, Q. Bie, R. Türker, H. Sack:
Entity-based Short Text Classification using Convolutional Neural Networks, In: Proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), (To be published) [local copy (PDF)].

R. Türker:
Knowledge-Based Dataless Text Categorization, in: Proc. of the 16th Extended Semantic Web Conference, PhD Symposium (ESWC 2019) (to be published) [local copy (PDF)].
R. Türker, L. Zhang, M. Koutraki, H. Sack:
Knowledge–Based Short Text Categorization Using Entity and Category Embeddings, in Proc. of the 16th Extended Semantic Web Conference (ESWC 2019). Springer, Cham, pp. 346-362. DOI: https://doi.org/10.1007/978-3-030-21348-0. [local copy (PDF)]

R. Türker, L. Zhang, M. Koutraki, H. Sack:
TECNE: Knowledge Based Text Classification Using Network Embeddings, in Proc. 21st International Conference on Knowledge Engineering and Knowledge Management 2018 (EKAW 2018), Poster & Demo Track, p. 53-56, http://ceur-ws.org/Vol-2262/ekaw-demo-18.pdf[local copy (PDF)]
H. Aras, R. Türker, D. Geiss, M. Milbradt, H. Sack:
Get Your Hands Dirty: Evaluating Word2Vec Models for Patent Data, In Proc. of the 14th Int. Conf. on Semantic Systems (SEMANTiCS 2018), P&D Track, CEUR workshop proceedings vol. 2198, http://ceur-ws.org/Vol-2198/paper_123.pdf [local copy (PDF)]
R. Türker, L. Zhang, M. Koutraki, H. Sack:
“The Less Is More” for Text Classification, In Proc. of the 14th Int. Conf. on Semantic Systems
(SEMANTiCS 2018), P&D Track, CEUR workshop proceedings vol. 2198, http://ceur-ws.org/Vol-2198/paper_122.pdf [local copy (PDF)]
R. Biswas, R. Türker, F. Bakhshandegan-Moghaddam, M. Koutraki, H. Sack:
Wikipedia Infobox Type Prediction Using Embeddings, in Proceedings of the 1st Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies DL4KGS 2018, co-located with ESWC 2018, CEUR workshop proceedings, vol. 2106, http://ceur-ws.org/Vol-2106/paper6.pdf [local copy (PDF)]

R. Türker, M. Koutraki, J. Waitelonis, H. Sack:
Entity Suggestion Ranking via Context Hashing,
in: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks, co-located with 16th International Semantic Web Conference (ISWC2017), CEUR Workshop Proceedings, vol. 1963, http://ceur-ws.org/Vol-1963/paper632.pdf

R. Türker, G. Ercan:
Topic Model Based Recommendation System for Retailers,
In: UBMK. Çorlu,Turkey.

Contact

Scientific Co-Worker

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