
Seyed Amir Hosseini BeghaeiraveriThe University of Edinburgh | UoE · Laboratory for Foundations of Computer Science (LFCS)
Seyed Amir Hosseini Beghaeiraveri
Master of Science
About
6
Publications
376
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10
Citations
Citations since 2017
Introduction
My interests are Nested Data, Distributed Computing, Linked Data, Web of Data, Semantic Web, and Knowledge Graphs. Currently, I'm working on WIkidata dump processing.
Skills and Expertise
Additional affiliations
Education
January 2020 - January 2023
September 2013 - September 2015
September 2008 - September 2012
Publications
Publications (6)
Verifiable secret sharing (VSS) is one of the basic problems in the theory of distributed cryptography and has an important role in secure multiparty computation. In this case, it is tried to share a confidential data as secret, between multiple nodes in a distributed system, in the presence of an active adversary that can destroy some nodes, such...
Knowledge graphs have successfully been adopted by academia, governement and industry to represent large scale knowledge bases. Open and collaborative knowledge graphs such as Wikidata capture knowledge from different domains and harmonize them under a common format, making it easier for researchers to access the data while also supporting Open Sci...
Wikidata is a general-purpose knowledge graph covering a wide variety of topics with content being crowd-sourced through an open wiki. There are now over 90M interrelated data items in Wikidata which are accessible through a public query endpoint and data dumps. However, execution timeout limits and the size of data dumps make it difficult to use t...
Wikidata is the only general-purpose open knowledge graph with the capability of specifying references for every single statement. Currently, about 68% of Wikidata statements have at least one reference but the quality of these references is rarely covered in data quality studies. There is also a lack of a comprehensive framework for evaluating ref...
Knowledge Graphs (KGs) such as Wikidata act as a hub of information from multiple domains and disciplines, and is crowdsourced by multiple stakeholders. The vast amount of available information makes it difficult for researchers to manage the entire KG, which is also continually being edited. It is necessary to develop tools that extract subsets fo...