Dr. Anna Primpeli

Alumni Researcher

B6, 26, Room C 1.04

Tel.: +49 621 181 2566

anna (at) informatik.uni-mannheim.de

Research Interests

Data Extraction
Data Integration

Teaching

Web Mining (FSS2021)
Team Project: Integrating Product Specifications from the Web (HWS2019)
Large-Scale Data Integration Seminar (FSS2019, FSS2020, FSS2021)
Data Mining (FSS2019, FSS2020, FSS2021)
Web Data Integration (HWS2017, HWS2018, HWS2019, HWS2020)
Team Project: Integrating Product Data from the Web (HWS2018)
Team Project: Mining Product Data from the Web (FSS2018)

Brinkmann, A., Primpeli, A. and Bizer, C. (2023). The Web Data Commons Schema.Org Data Set Series. In , The ACM Web Conference : Companion of the World Wide Web Conference WWW 2023 (S. 136–139). , Association for Computing Machinery: New York, NY.
Primpeli, A. and Bizer, C. (2022). Impact of the characteristics of multi-source entity matching tasks on the performance of active learning methods. In , The Semantic Web : 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, proceedings (S. 113–129). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Primpeli, A. and Bizer, C. (2021). Graph-boosted active learning for multi-source entity resolution. In , The Semantic Web – ISWC 2021 : 20th international semantic web conference, ISWC 2021, virtual event, October 24–28, 2021, proceedings (S. 182–199). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Peeters, R., Primpeli, A., Wichtlhuber, B. and Bizer, C. (2020). Using schema.org annotations for training and maintaining product matchers. In , WIMS 2020: proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30 – July 3, 2020 (S. 195–204). , ACM: New York, NY.
Primpeli, A. and Bizer, C. (2020). Profiling entity matching benchmark tasks. In , CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management : (S. 3101-3108). , Association for Computing Machinery: New York, NY.
Primpeli, A., Bizer, C. and Keuper, M. (2020). Unsupervised bootstrapping of active learning for entity resolution. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 215–231). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Zhang, Z., Bizer, C., Peeters, R. and Primpeli, A. (2020). MWPD2020: Semantic Web challenge on Mining the Web of HTML-embedded product data. In , MWPD 2020 : Proceedings of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data co-located with the 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 5, 2020 (S. 2–18). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Primpeli, A. and Bizer, C. (2019). Robust active learning of expressive linkage rules. In , WIMS2019 : Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, Seoul, Republic of Korea, June 26 – 28, 2019 (S. 2:1–2:7). , ACM: New York, NY.
Primpeli, A., Peeters, R. and Bizer, C. (2019). The WDC training dataset and gold standard for large-scale product matching. In , Companion Proceedings of The 2019 World Wide Web Conference (S. 381–386). , ACM: New York, NY, USA.
Petrovski, P., Primpeli, A., Meusel, R. and Bizer, C. (2017). The WDC gold standards for product feature extraction and product matching. In , E-Commerce and Web Technologies : 17th International Conference, EC-Web 2016, Porto, Portugal, September 5–8, 2016, Revised Selected Papers (S. 73–86). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
Primpeli, A. and Bizer, C. (2017). Generalizing matching knowledge using active learning. In , VLDB-PhD 2017 : Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd International Conference on Very Large Databases (VLDB 2017) Munich, Germany, August 28, 2017 (S. 29–32). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Primpeli, A., Meusel, R., Bizer, C. and Stuckenschmidt, H. (2017). The Web Data Commons structured data extraction. In , E-Science-Tage 2017: Forschungsdaten managen (S. 1). , Heidelberg University: Heidelberg.
Meusel, R., Primpeli, A., Meilicke, C., Paulheim, H. and Bizer, C. (2015). Exploiting microdata annotations to consistently categorize product offers at web scale. In , E-Commerce and Web Technologies : 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Valencia, Spain, September 2015, revised selected papers (S. 83–99). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].

Bizer, C., Primpeli, A. and Peeters, R. (2019). Using the Semantic Web as a source of training data. Datenbank-Spektrum, 19, 127–135.