Franz AllegroGraph Supports Shapes Constraint Language

Franz Inc., an early adopter of Artificial Intelligence (AI) and provider of Semantic Graph Database technology for Knowledge Graph Solutions, is now supporting Shapes Constraint Language (SHACL), a World Wide Web Consortium (W3C) specification for validating graph-based data against a set of conditions.

Franz’s Knowledge Graph solutions with SHACL improves the ability to validate data and applications from independently maintained sources within an overall system that can interoperate reliably.

“Enterprise systems are increasingly complex, often requiring data and software components to be accessed and maintained by different departments or other companies,” said Dr. Jans Aasman, CEO of Franz, Inc. “Adding SHACL to AllegroGraph helps our customers simplify the complexity of enterprise systems through the ability to loosely combine independent elements, while allowing the overall system to function smoothly.”

AllegroGraph v6.6 includes a SHACL validation engine that confirms whether data is conforming to the desired requirements.

SHACL provides a way for a Data Graph to specify the Shapes Graph that should be used for validation and describes how a given shape is linked to targets in the data.

AllegroGraph makes it possible to automatically link structured RDF data to information within JSON documents based on semantic concepts, allowing users to perform graph analytics across linked data within databases, document stores and CSV files.

Semantic Graph databases provide the core technology environment to enrich and contextualize the understanding of data and provide the foundation for Knowledge Graphs and AI. The ability to rapidly integrate new knowledge is the crux of a Knowledge Graph, which depends on semantic technologies.   

As a crucial part of Franz’s  Knowledge Graph solution, Franz provides expertise in designing ontology and taxonomy-based solutions by utilizing standards-based development processes and tools.

Franz also offers data integration services from siloed data using W3C industry standard semantics, which can then be continually integrated with information that comes from other data sources. In addition, the Franz data science team provides expertise in custom algorithms to maximize data analytics and uncover hidden knowledge.

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