Toward Unified Semantics
KGC 2025
•
16m
The proliferation of diverse data model formats, represented in relational databases, RDF graphs and labeled property graphs, frequently leads to semantic fragmentation, hindering deep data integration and shared understanding for humans and machines. Unified semantics is an approach to define consistent, shared meaning that transcends specific serialization formats. We will explore methodologies and technologies, including ontologies, standard vocabularies, and FAIR data implementation patterns that enable this semantic alignment. Establishing a shared understanding of meaning unlocks seamless cross-platform interoperability, enhances data quality, and paves the way for more powerful AI knowledge-driven applications across heterogeneous data landscapes.
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