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Tue, 28 Nov 2023 04:52:37 -0500
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SEAGraph 2024
SUBMISSION WEBSITE OPEN and UPDATED DEADLINES

The 3rd Workshop on Search, Exploration, and Analysis in Heterogenous Datastores, Graph Edition (SEAGraph) is now accepting paper subissions.

WEBSITE: 
	- https://sea-data.ml

SUBMISSIONS:
  - https://easychair.org/conferences/?conf=seagraph24

Held in conjunction with the 40th International Conference on Data Engineering (ICDE 2024)

IMPORTANT DATES (all deadlines are AoE): 

Due to the shift of dates to the ICDE Main Conference submission dates, we decided to shift our dates as well to accomodate authors needs.

Submission: December 22, 2023
Author notification: February 1, 2024
Camera-ready: February 15, 2024
Workshop: May 13, 2024

SUBMISSIONS TYPES

  -  Regular research, system papers (up to 6 pages)
  -  Experiments and Analysis papers (up to 6 pages)
  -  Vision & work-in-progress & experiences papers (up to 4 pages)

Papers must follow the ICDE Proceeding Format



OVERVIEW
SEAGraph workshop will provide a forum for researchers and practitioners to exchange ideas, results, and visions on challenges in adopting graphs to handle data management, information extraction, exploration, and analysis of heterogeneous data and multiple data models at once.

SEAGraph aims at gathering researchers and practitioners from various communities related to databases, data management, and knowledge engineering.
We gladly accept submissions that present initial ideas and visions, just as much as reports on early results, or reflections on completed projects.
The workshop will focus on discussion and interaction, rather than static presentations of what is in the paper.


TOPIC OF INTEREST

Topics of interest include but are not limited to:

- Fundamentals
  - Algebra and logics for graph databases
	- Graph query languages, algebra, and logics
  - Querying and analyzing semantic data lakes and polystores;
	- Comparison of graph data models to traditional data models
  - Schemas for graph databases
  - Semantic web graph data formats (e.g., RDF, OWL)
- Graph mining and learning
  - Mining and profiling of graphs
	- Information retrieval on graph-structured data
	- Data explorations on graphs. 
	- Graph pattern matching
	- Link prediction, clustering, node and graph classification
	- Automatic learning of graph embeddings or indexes
	- Extraction of vectors, matrices, and metapaths from graphs (e.g., as input for neural networks)
	- Graph data quality assessment
- Graph data management
	- Search in graph databases
	- Flexible query answering on graph-structured data
	- Intelligent distribution of query processing   
	- Indexing methods for graph processing
	- Storage systems for large-scale graph databases
	- Automatic distribution and replication of graph databases
	- Scalable algorithms for graph management
- Applications
  - Biological and medical graph databases
	- Social Networks graphs
	- Visualizing, browsing and navigating graph data


We also welcome submissions on thought-provoking applications and emerging uses of graph data management technology in heterogeneous datastores or multi-model databases.
The workshop also welcomes papers on negative results.


WORKSHOP CHAIRS

Lisa Ehrlinger,Software Competence Center Hagenberg <[log in to unmask]>
Matteo Lissandrini, Aalborg University <[log in to unmask]>
Davide Mottin, Aarhus University <[log in to unmask]>
Sayan Ranu, IIT Delhi <[log in to unmask]>

CONFERENCE OFFICERS

    Yael Amsterdamer, Bar-Ilan University
    Bogdan Arsintescu, LinkedIn
    Kaustubh Beedkar, IIT Delhi
    Nikos Bikakis, University of Ioannina
    Angela Bonifati, Univ. of Lille 1 and Inria
    Juan A. Colmenares, Linkedin
    Daniele Dell’Aglio, Aalborg University
    Anastasia Dimou, KU Leuven
    Stefania Dumbrava, ENSIIE & Institut Polytechnique de Paris
    Fajar J. Ekaputra, Vienna University Economics and Business
    Francesco Guerra, University of Modena and Reggio Emilia
    Francesco Gullo, UniCredit
    Olaf Hartig, Linköping University
    Katja Hose, TU Wien
    Dimitar Hristovski, University of Ljubljana
    Zoi Kaoudi, IT University Copenhagen
    Panos Karras, Aarhus University
    Haridimos Kondylakis, FORTH
    Georgia Koutrika, Athena Research Centre
    Eliezer Levy, Huawei
    Sebastian Link, University of Auckland
    Wim Martens, University of Bayreuth
    Amine Mhedhbi, Polytechnique Montreal
    Magdalena Ortiz, TU Wien
    Paolo Papotti, EURECOM
    Giulia Preti, Cent.AI
    Anisa Rula, University of Brescia
    Marta Sabou, Vienna University Economics and Business
    Subhadeep Sarkar, Brandeis University
    Yuya Sasaki, Osaka University
    Petra Selmer, Bloomberg L.P.
    Riccardo Tommasini, INSA Lyon
    Aikaterini Tzompanaki, University of Cergy-Pontoise
    Jim Webber, Neo4j
---------------


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