Alberto Mendelzon Workshop on Foundations of Data Management 2018 Call for Papers

                        CALI, COLOMBIA
                      MAY 21 - 25, 2018

Since 2006, the Alberto Mendelzon International Workshop on Foundation
of Databases  and the Web  (AMW) brings together top  researchers from
all over  the world,  creating the opportunity  to discuss  and spread
research results.

The co-located  AMW Summer  School provides  an opportunity  for Latin
American  students  (graduate  and  undergraduate),  researchers,  and
practitioners,  to interact  with  the  international data  management
academic  community. AMW  is a  way to  honour the  memory of  Alberto
Mendelzon, by promoting research ties with Latin America.

We invite two types of submissions:

(a)  Extended  abstracts  of  up  to  10  pages,  presenting  original
research.These  papers are  intended to  be published  in the  WS CEUR
proceedings (

(b) Short  papers of up  to 4 pages  that may contain  either original
ongoing research  or recently  published results.   Papers have  to be
formatted according  to the LNCS  Springer style for Lecture  Notes in
Computer Science and submitted electronically via EasyChair

in PDF format. The submissions will be judged by the Program Committee
for  scientific quality  and relevance.  At least  one author  of each
accepted paper must attend the workshop to present the work.

Papers  addressing  foundational  aspects  are  particularly  welcome.
However, we  also encourage the  submission of papers  that illustrate
applications of foundational results in real-world contexts.


Abstract submission deadline February 26, 2018
Paper submission deadline March 5, 2018
Notification of acceptance April 2, 2018
Camera Ready April 30, 2018


We solicit submissions in the  following areas of data management (the
list is not exclusive):

Blockchain architectures
Cloud data systems
Constraint databases
Data analytics
Data exchange
Data integration
Data mining
Data modeling
Data privacy and security
Data provenance
Data streams
Data visualization
Data warehousing
Database benchmarking, tuning, and testing
Distributed and parallel databases
Graph data
Incompleteness and inconsistency in databases
Information retrieval
Knowledge bases
Logic and databases
Model theory and databases
Multimedia databases
Ontology-based data management
Physical design
Probabilistic databases
Query languages
Query processing and optimization
Semantic web
Semi-structured data
Sensor data
Social networks
Spatial data
Temporal data
Transaction management
Web data management
Web mining
Web services


Juan Sequeda (Capsenta, USA)


Dan Olteanu (University of Oxford, UK)
Barbara Poblete (Universidad de Chile, Chile)

Received on Wednesday, 6 December 2017 14:33:23 UTC