Ομιλία από την Καθ. Alexandra Poulovassilis, με τίτλο "Approximate querying over property graphs”
20-02-2020
Την Πέμπτη 20 Φεβρουαρίου 2020, στη 13:00 στην αίθουσα Zampolli του Ερευνητικού Κέντρου "Αθηνά", θα πραγματοποιηθεί ομιλία από την Alexandra Poulovassilis, Καθ. στο Department of Computer Science and Information Systems, Birkbeck, University of London και Διευθύντρια στο Birbeck Knowledge Lab, με τίτλο "Approximate querying over property graphs”. Παρακάτω μία σύντομη περιγραφή της ομιλίας:
Abstract:
Graph databases are well-suited to managing large, complex, dynamically evolving datasets. However, for data that is irregular and heterogeneous, it may be difficult to formulate queries that precisely capture a user's information seeking requirements. This points to the need for approximate query processing capabilities that can automatically make changes to a query so as to aid in the incremental discovery of relevant information. In this talk we explore techniques for providing such capabilities for the Cypher query language of the Neo4j graph DBMS. This is the first time that query approximation has been investigated in the context of the property graph data model, which is becoming increasingly prevalent in research and industry.
Alexandra Poulovassilis is Professor of Computer Science at the Department of Computer Science and Information Systems, Birkbeck, University of London, and Director of the Birkbeck Knowledge Lab. Her long-term research interests are in data integration, querying, visualisation and personalisation, and she has published over 150 peer-reviewed articles in these areas. She has held more than 20 externally awarded research grants. This includes funding for both fundamental research in data management (from EPSRC, SERC, industry) and for interdisciplinary research with educationalists (from ESRC, EU, JISC), life scientists (from BBSRC), and humanities scholars (from AHRC). Her doctoral and postdoctoral research was in data models and languages for graph-structured data. She joined Birkbeck in 1999 with the award of a Readership (Associate Professorship) under the college's 175th Anniversary Chairs and Readers scheme, and was promoted to Professor in 2001. She served on the UK RAE 2008 and REF 2014 sub-panels for Computer Science and Informatics, and is currently Deputy Dean with a Research Enhancement remit in the School of Business, Economics and Informatics at Birkbeck.
Graph databases are well-suited to managing large, complex, dynamically evolving datasets. However, for data that is irregular and heterogeneous, it may be difficult to formulate queries that precisely capture a user's information seeking requirements. This points to the need for approximate query processing capabilities that can automatically make changes to a query so as to aid in the incremental discovery of relevant information. In this talk we explore techniques for providing such capabilities for the Cypher query language of the Neo4j graph DBMS. This is the first time that query approximation has been investigated in the context of the property graph data model, which is becoming increasingly prevalent in research and industry.
Alexandra Poulovassilis is Professor of Computer Science at the Department of Computer Science and Information Systems, Birkbeck, University of London, and Director of the Birkbeck Knowledge Lab. Her long-term research interests are in data integration, querying, visualisation and personalisation, and she has published over 150 peer-reviewed articles in these areas. She has held more than 20 externally awarded research grants. This includes funding for both fundamental research in data management (from EPSRC, SERC, industry) and for interdisciplinary research with educationalists (from ESRC, EU, JISC), life scientists (from BBSRC), and humanities scholars (from AHRC). Her doctoral and postdoctoral research was in data models and languages for graph-structured data. She joined Birkbeck in 1999 with the award of a Readership (Associate Professorship) under the college's 175th Anniversary Chairs and Readers scheme, and was promoted to Professor in 2001. She served on the UK RAE 2008 and REF 2014 sub-panels for Computer Science and Informatics, and is currently Deputy Dean with a Research Enhancement remit in the School of Business, Economics and Informatics at Birkbeck.