Neuro-Symbolic AI with AllegroGraph
The emerging paradigm of Neuro-Symbolic Artificial Intelligence (AI) stems from the recent efforts to enhance statistical AI (machine learning, LLMs) with the complementary capabilities of Symbolic AI (knowledge and reasoning, Knowledge Graphs).
allegrograph.com/products/ne…
AllegroGraph is a Horizontally Distributed, Multi-model (Vector, Document and Graph), Entity-Event Knowledge Graph platform that enables businesses to build Neuro-Symbolic AI applications capable of extracting sophisticated decision insights and predictive analytics from their highly complex, distributed data that can’t be answered with only Generative AI.
FedShard™ Speeds Complex Queries through a patented in-memory federation function, the results from each machine are combined so that the query process appears as if only one database is being accessed, although many different databases and data stores and knowledge bases are actually being accessed and returning results. This unique data federation capability accelerates results for highly complex queries across highly distributed data sets and knowledge bases.
Unlike traditional relational databases or simple property graph databases, Franz’s product AllegroGraph employs a combination of document (JSON and JSON-LD) Vector (Generation and storage), and graph technologies that process data with contextual and conceptual intelligence. Knowledge Graphs built on the AllegroGraph platform are able to run queries of unprecedented complexity to support predictive analytics that help companies make better, real-time decisions.
allegrograph.com/products/al…
RDF-star and SPARQL-star
The Resource Description Framework (RDF) is a general-purpose framework for representing information on the Web. RDF-star extends RDF with a convenient way to make statements about other statements. This specification defines the abstract syntax of RDF-star as an extension of RDF's. It extends a number of RDF concrete syntaxes to support the new abstract syntax. It also extends RDF's formal semantics. Finally, this specification extends the SPARQL language to allow querying and updating of RDF-star data.
w3c.github.io/rdf-star/cg-sp…
RDF & SPARQL (RDF-star) Working Group
The mission of the RDF & SPARQL Working Group is to update and maintain the set of RDF and SPARQL related recommendations, extending them with the ability to concisely represent and query statements about statements.
w3.org/groups/wg/rdf-star/
AllegroGraph 8.4.0 RDF-star Support
RDF-star (or RDF*) allows marking up triple with meta information such as source, quality, believability, or other attributes, thus extending the RDF graph model by including statements about statements.
The main part of the RDF-star specification is the concept of quoted triple, where quoted has similar meaning to quotation in Lisp.
AllegroGraph provides opt-in support for RDF-star semantics on per-repository basis. AllegroGraph supports loading and exporting RDF-star data in the following RDF-star formats:
Turtle-star;
TriG-star;
N-Triples-star;
N-Quads-star;
NQX-star
Since RDF-star is likely to become part of RDF-1.2 specs, these formats are not treated as separate syntaxes. Instead, when an AllegroGraph repository has RDF-star semantics enabled, the standard parsers and serializers will automatically handle RDF-star data.
franz.com/agraph/support/doc…