EDBT 2026 Demo / reviewers in the wild / expert
Amr Azzam
dblp:197/1714
· DBLP profile ↗
4ranked-venue papers
3as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 3 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
2 papers |
Graph data management · 33% Distributed and cloud data management · 33% Query processing and optimization · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management
client-server query processing |
0.9 | 2 | 2021 | WiseKG: Balanced Access to Web Knowledge Graphs · WWW 2021 SMART-KG: Hybrid Shipping for SPARQL Querying on the Web · WWW 2020 |
Query processing and optimization › query scheduling
query load balancing |
0.9 | 2 | 2021 | WiseKG: Balanced Access to Web Knowledge Graphs · WWW 2021 SMART-KG: Hybrid Shipping for SPARQL Querying on the Web · WWW 2020 |
Graph data management › RDF data management
SPARQL query processing |
0.9 | 2 | 2021 | WiseKG: Balanced Access to Web Knowledge Graphs · WWW 2021 SMART-KG: Hybrid Shipping for SPARQL Querying on the Web · WWW 2020 |
Methods — techniques the papers use, named apart from their topics
query optimization · 0.5cost model · 0.5triple pattern fragments · 0.4compressed knowledge graph partitions · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | WiseKG: Balanced Access to Web Knowledge GraphsabstractSPARQL query services that balance processing between clients and servers become more and more essential to handle the increasing load for open and decentralized knowledge graphs on the Web. To this end, Linked Data Fragments (LDF) have introduced a foundational framework that has sparked research exploring a spectrum of potential Web querying interfaces in between server-side query processing via SPARQL endpoints and client-side query processing of data dumps. Current proposals in between typically suffer from imbalanced load on either the client or the server. In this paper, to the best of our knowledge, we present the first work that combines both client-side and server-side query optimization techniques in a truly dynamic fashion: we introduce WiseKG, a system that employs a cost model that dynamically delegates the load between servers and clients by combining client-side processing of shipped partitions with efficient server-side processing of star-shaped sub-queries, based on current server workload and client capabilities. Our experiments show that WiseKG significantly outperforms state-of-the-art solutions in terms of average total query execution time per client, while at the same time decreasing network traffic and increasing server-side availability. Amr Azzam, Christian Aebeloe, Gabriela Montoya, Ilkcan Keles, Axel Polleres, Katja Hose |
WWW | 1 |
| 2020 | SMART-KG: Hybrid Shipping for SPARQL Querying on the WebabstractWhile Linked Data (LD) provides standards for publishing (RDF) and (SPARQL) querying Knowledge Graphs (KGs) on the Web, serving, accessing and processing such open, decentralized KGs is often practically impossible, as query timeouts on publicly available SPARQL endpoints show. Alternative solutions such as Triple Pattern Fragments (TPF) attempt to tackle the problem of availability by pushing query processing workload to the client side, but suffer from unnecessary transfer of irrelevant data on complex queries with large intermediate results. In this paper we present smart-KG, a novel approach to share the load between servers and clients, while significantly reducing data transfer volume, by combining TPF with shipping compressed KG partitions. Our evaluations show that smart-KG outperforms state-of-the-art client-side solutions and increases server-side availability towards more cost-effective and balanced hosting of open and decentralized KGs. Amr Azzam, Javier D. Fernández, Maribel Acosta, Martin Beno, Axel Polleres |
WWW | 1 |
| 2020 | User consent modeling for ensuring transparency and compliance in smart cities
Javier D. Fernández, Marta Sabou, Sabrina Kirrane, Elmar Kiesling, Fajar J. Ekaputra, Amr Azzam, Rigo Wenning |
Pers. Ubiquitous Comput. | 6 |
| 2017 | A Question Routing Technique Using Deep Neural Network for Communities of Question Answering
Amr Azzam, Neamat El-Tazi, Ahmad Hany Hossny |
DASFAA (1) | 1 |