About

• 2013 M.Sc. Computer Engineering (Software)
• 2008 B.Sc. Computer Engineering (Software)

Contact

• saeedi [at] informatik.uni-leipzig.de
• +49 341 97 32-372
• Augustusplatz 10, Paulinum, Room P416

Research Interests

• Entity Resolution
• Knowledge Graphs
• Big Data Integration and Processing

Supervision of Thesis

• Bachelor Thesis: Lucie David, Distributed Hierarchical Clustering Algorithm for Multi-source Entity Resolution
• Master Thesis: Stefan Lerm, Verteiltes Clustering für Multi-Source Entity Resolution gemischter Datensammlungen aus duplikatfreien und duplikatbehafteten Quellen

Research Project

FAst Multi-source Entity Resolution system (FAMER)

Publications

Saeedi, A.; David, L.; Rahm, E. Matching Entities from Multiple Sources with Hierarchical Agglomerative Clustering KEOD 2021 2021-10

Lerm, S. ; Saeedi, A.; Rahm, E. Extended Affinity Propagation Clustering for Multi-source Entity Resolution BTW 2021 2021-03

Saeedi, Alieh; Peukert, Eric; Rahm, Erhard Incremental Multi-source Entity Resolution for Knowledge Graph Completion Proc. ESWC 2020-06

Obraczka, D.; Saeedi, A.; Rahm, E. Knowledge Graph Completion with FAMER Proc. KDD workshop on Data Integration to Knowledge Graphs (DI2KG) (DI2KG Challenge Winner) 2019-08

Saeedi, Alieh; Nentwig, Markus; Peukert, Eric; Rahm, Erhard Scalable Matching and Clustering of Entities with FAMER Complex Systems Informatics and Modeling Quarterly (CSIMQ), Issue 16, Sep./Oct. 2018, pp 61–83 2018-11

Saeedi, Alieh; Peukert, Eric; Rahm, Erhard Using Link Features for Entity Clustering in Knowledge Graphs Proc. ESWC 2018 (Best research paper award) 2018-06

Rostami, M. Ali; Saeedi, Alieh; Peukert, Eric ; Rahm, Erhard Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters Proc. EDBT 2018 2018-03

Saeedi, Alieh; Peukert, Eric; Rahm, Erhard Comparative Evaluation of Distributed Clustering Schemes for Multi-source Entity Resolution Proc. ADBIS, LNCS 10509, pp 278-293 2017-09