Dear all,
We are happy to announce that we will organize a DBpedia Meeting in
Amsterdam, Netherlands. The DBpedia Day is part of the SEMANTiCS, Sep
17-19, and will be held on the first day of the conference on 17th of
September 2024.
We invite the world’s leading Knowledge Engineering experts to gain
insights on the topic “Knowledge Graphs operated by AI”. This event aims
to explore how recent advances in AI can leverage and exploit structured
knowledge, as well as address new challenges and necessary changes to
advance the vision of "Knowledge Graphs operated by AI".
# Topics include (but are not limited to):
## Standards and Best Practices
* Streamlining consumption by AI: Proposing changes and frameworks to
improve the current Linked Data and Knowledge Graph infrastructure.
* Discovery, summarization, and efficient data retrieval methods.
* REST/HATEAOS, Structured Data Islands/JSON-LD, 303-less Linked Data.
* Metadata standards for better linking, integration, and interoperability.
* Development and enhancement of Ontologies and Mappings to facilitate
the integration of knowledge from distributed sources.
## Exploration and Querying
* Building novel AI-driven interfaces using natural language processing.
* Automatically generating SPARQL queries from natural language inputs.
* Integrating secure knowledge in Generative AI systems.
## Acquiring Knowledge
* Methods for AI to autonomously discover and integrate new data sources.
* Leveraging machine learning techniques for the automated extraction of
knowledge from unstructured data.
* Enhancing knowledge bases with real-time data updates and corrections.
## Coordinating Knowledge
* Frameworks and protocols for the coordination of knowledge across
distributed systems.
* AI-driven methods for ensuring data consistency and integrity.
* Utilizing blockchain and other technologies for secure and transparent
knowledge coordination.
## Managing Knowledge
* Strategies for maintaining and updating knowledge graphs using AI.
* AI-driven validation and verification of knowledge to ensure accuracy
and relevance.
* Techniques for scalable storage and retrieval of vast amounts of
structured data.
## Ethical and Societal Implications
* Addressing privacy and security concerns in AI-operated knowledge graphs.
* Ensuring transparency and explainability in AI's use of knowledge graphs.
* Understanding the societal impact of AI-driven knowledge management
and dissemination.
## Use Cases and Applications
* Real-world examples of AI leveraging knowledge graphs for various
applications.
* Case studies on the success and challenges of implementing AI-driven
knowledge management systems.
* Innovative applications in healthcare, finance, education, and other
sectors.
# Submission Guidelines
Please submit your presentation proposals by Monday June 17,
2024,(Anywhere On Earth; UTC-12) to https://forms.gle/hQydymKtzaHSysJx6
<https://forms.gle/hQydymKtzaHSysJx6>. Proposals should include a title,
abstract (300 words max), and a brief biography of the presenter(s).
Abstracts will be evaluated based on establishing a strong relation to
the call and its topics. While we generally welcome mature and
well-engineered showcases and implementations, we will accept some talks
with idea, position or impulse character. Additionally, we will
positively evaluate industry talks that describe needs and requirements.
For further details, visit our website
https://www.dbpedia.org/events/dbpedia-day-2024/
<https://www.dbpedia.org/events/dbpedia-day-2024/>.
We are looking forward to meeting you.
Kind regards,
Julia
on behalf of the DBpedia Association