Dr. Alieh Saeedi

Dr. Alieh Saeedi

Research Interests

Entity Resolution
Knowledge Graphs
Big Data Integration and Processing

FAst Multi-source Entity Resolution system (FAMER)

Betreute Abschlussarbeiten (2)

Jahr	Typ	Student	Titel	Status
2021	B. Sc.	Lucie David	Distributed Hierarchical Clustering Algorithm for Multi-source Entity Resolution	Finished
2020	M. Sc.	Stefan Lerm	Verteiltes Clustering für Multi-Source Entity Resolution gemischter Datensammlungen aus duplikatfreien und duplikatbehafteten Quellen	Finished

Publications (11)

Dateien	Cover	Beschreibung	Jahr Sort descending
		Comparative Evaluation of Distributed Clustering Schemes for Multi-source Entity Resolution Saeedi, A. ; Peukert, E. ; Rahm, E. Proc. ADBIS, LNCS 10509, pp 278-293	2017 / 9
		Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters Rostami, M. ; Saeedi, A. ; Peukert, E. ; Rahm, E. Proc. EDBT 2018	2018 / 3
		Using Link Features for Entity Clustering in Knowledge Graphs Saeedi, A. ; Peukert, E. ; Rahm, E. Proc. ESWC 2018 (Best research paper award)	2018 / 6
		Scalable Matching and Clustering of Entities with FAMER Saeedi, A. ; Nentwig, M. ; Peukert, E. ; Rahm, E. Complex Systems Informatics and Modeling Quarterly (CSIMQ), Issue 16, Sep./Oct. 2018, pp 61–83	2018 / 11
		Knowledge Graph Completion with FAMER Obraczka, D. ; Saeedi, A. ; Rahm, E. Proc. KDD workshop on Data Integration to Knowledge Graphs (DI2KG) (DI2KG Challenge Winner)	2019 / 8
		Incremental Multi-source Entity Resolution for Knowledge Graph Completion Saeedi, A. ; Peukert, E. ; Rahm, E. Proc. ESWC	2020 / 6
		Extended Affinity Propagation Clustering for Multi-source Entity Resolution Lerm, S. ; Saeedi, A. ; Rahm, E. BTW 2021	2021 / 3
		Matching Entities from Multiple Sources with Hierarchical Agglomerative Clustering Saeedi, A. ; David, L. ; Rahm, E. KEOD 2021	2021 / 10
		Clustering Approaches for Multi-source Entity Resolution Saeedi, A. Dissertation, Universität Leipzig	2021
		Big Data Integration for Industry 4.0 Obraczka, D. ; Saeedi, A. ; Christen, V. ; Rahm, E. Digital Transformation	2023 / 2