[DL] [CfP] 1st International Workshop on Semantic Technologies for Data Management - Enschede, Netherlands, 15-19 July 2024
Mosca Alessandro
mosca at inf.unibz.it
Tue Feb 6 17:56:12 CET 2024
Semantic Technologies for Data Management (ST4DM)
(https://sites.google.com/diag.uniroma1.it/st4dm/)
••• Location
The Semantic Technologies for Data Management (ST4DM) workshop will be co-located with the 2024 edition of the International Conference on Formal Ontology in Information Systems (FOIS - https://www.utwente.nl/en/eemcs/fois2024/#14th-international-conference-on-formal-ontology-in-information-systems-fois-2024) hosted by the Semantics, Cybersecurity & Services group of the University of Twente (https://www.utwente.nl/en/eemcs/scs/).
ST4DM will officially contribute to the 10th edition of IAOA's Joint Ontology Workshops (JOWO - https://www.iaoa.org/jowo/), nicknamed "Episode X: The Tukker Zomer of Ontology".
••• Background
Knowledge Graphs (KGs) have become a popular format of data representation, mainly due to their flexible data model which renders them particularly suited to those tasks where data coming from multiple, possibly heterogeneous, sources has to be integrated in order to be fully exploited. KGs have received both the attention of academia, through foundational efforts stemming from scientific literature such as Knowledge Representation, Machine Learning, or Databases, and the enterprise world. Enterprise applications, in particular, exploit tools implementing recommendations from the Semantic Web community (such as RDF or OWL), and proprietary formats based on property graphs. The general data model of
KGs allows for representing both extensional knowledge, the data itself, and intensional information made available by domain ontologies. Hence, KGs provide a way to enrich data coming from legacy sources with semantic information coming from the application domain. This empowers users with automated inference, enriches interpretability of data, and overall
facilitates access and integration.
••• Goal
The aim of the present workshop is to provide a dedicated venue for authors working in the context of semantic technologies for KGs where the focus is both on data and ontologies. Currently, many venues are very focused on the former (e.g., the whole Database community), or the latter (e.g., the Knowledge Representation or Semantic Web communities). However,
initiatives focusing on leveraging semantic technologies for data management necessitate an integrated perspective that merges data with semantics. This also calls for bespoke techniques that seamlessly combine the two.
••• Scope
This workshop invites the submission of papers focused on applying Semantic Technologies to Data Management.
Submissions may cover foundational research and practical solutions in this field.
Topics of interest include, but are not limited to:
• Knowledge Graphs (KGs)
• Virtual Knowledge Graphs (VKGs)/Ontology-Based Data Access (OBDA)
• Ontology-Mediated Query Answering (OMQA)
• (V)KGs Refinement, Construction, Enrichment, Integration
• Management and exploitation of provenance in (V)KGs
• Ontologies, metadata vocabularies, and standardization
• Semantic technologies applied to data infrastructures and FAIR data management
• Effective Query Rewriting and Optimization
• Performance and Security in (V)KGs
• Mappings and Ontology Bootstrapping
• Mappings Design, Management, and Specification
• Management of the evolution and preservation of (V)KGs
••• Important dates (all dates are Anywhere on Earth - AoE)
• Paper submission: 17 April 2024
• Author notification: 15 May 2024
• Camera-ready submission: 30 July 2024
• Workshop Date: July 15-19, 2024 (one day, to be defined)
••• Submission Guidelines
Please, submit your paper through Easychair by the link https://easychair.org/conferences/?conf=fois2024. If you do not have an EasyChair account, you can sign up at https://easychair.org.
The ST4DM reviewing is single-blind, so the names of the authors will be visible to the reviewers and should be indicated on the submitted files.
Submissions within the workshop scope may be of three types:
• *Full research paper*: Submitted papers must not exceed 14 pages including the bibliography, and must include an abstract of no more than 300 words. Please, note that the minimum length is 10 pages.
• *Short paper*: Submitted papers must not exceed 9 pages including the bibliography, and must include an abstract of no more than 300 words. Please, note that the minimum length is 5 pages (including the bibliography).
• *Abstract*: should be 2-4 pages long including the bibliography. NOTE: The "abstracts" articles won't be indexed by CEUR as papers.
Submissions will be judged solely based on their content.
Both regular papers, short papers and abstracts must be formatted using the new CEURART style, using the following specific template that we prepared: https://ceur-ws.org/HOWTOSUBMIT.html
Accepted submissions will be presented during the workshop.
Outstanding papers will be invited to submit an extension of their contribution to the Journal Frontiers in Computer Science, special issue on Semantic Technologies for Data Management.
••• Workshop chairs
• Davide Lanti, Free University of Bozen-Bolzano
• Alessandro Mosca, Free University of Bozen-Bolzano
• Federico Maria Scafoglieri, University of Rome La Sapienza
• Guohui Xiao, University of Bergen
••• To get in contact with the workshop chairs, pleas use the following:
st4dm2024 at easychair.com
Best regards!
--
Alessandro Mosca https://www.inf.unibz.it/~almosca/
Faculty of Engineering @Free University of Bozen-Bolzano
KRDB Research Centre for Knowledge and Data<https://www.inf.unibz.it/krdb/>
Smart Data Factory Lab<https://smart.inf.unibz.it/>
--
According to the Regulation EU 2016/679, you are hereby informed that this message contains confidential information that is intended only for the use of the addressee. If you are not the addressee and have received this message by mistake, please delete it and immediately notify us. In any case, you may not copy or disseminate this message to anyone.
--
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.zih.tu-dresden.de/pipermail/dl/attachments/20240206/fb38c553/attachment-0001.htm>
More information about the dl
mailing list