DeciSym, LLC

Data, Integration, Discovery

DeciSym’s Data Packaging Service collects data from public or private data sources, transforms the data for integration with other sources, and delivers the results as self-contained files. DeciSym transforms the data into a Resource Description Framework (RDF) encoding. The RDF is aligned to interoperable ontologies that comply with the Web Ontology Language (OWL) standard. Data Packages are signed and encrypted to ensure a reliable data supply chain for analytics, Machine Learning (ML), and Artificial Intelligence (AI) workflows. Compared to alternative Extract, Transform, and Load (ETL) services, the Data Packaging Services transform into a standardized, canonical RDF encoding. The transformed data is aligned to an ontology to support data integration and query across multiple sources. The ontology enables inference operations. Data Packages include a complete index to respond directly to SPARQL queries, eliminating the need to load the data into another system. The data packages are well-suited for High-Performance Computing (HPC) infrastructure. Data is quickly distributed to individual compute nodes without the centralized services/daemons required by traditional databases. DeciSym’s approach results in better HPC compute node utilization. Data Packages are also highly compressed and deployable to Edge computing nodes with limited storage. The self-contained index, compression, and encryption combine to enable distributed computation architectures and deployments from Edge-to-Exascale.

Data

Open Notebook Science; Linked Open Data; Open-Source Intelligence (OSINT);
Findable, Accessible, Interoperable, Reusable (FAIR) Data

Client-selectable sources targeted for collection, transformation, and aggregation. Unstructured data sources run through Natural Language Processing (NLP) to extract structure and meaning.

Integration

RDF, OWL, HDT, Triple Stores

Interoperable ontologies describe the data packages using W3C standard OWL. Contents are expressed in RDF.

Discovery

Inference Engines, Visual Analytics

New insights derived from integrated data packages described with ontologies via custom inference engines. Inferred data, subsets, graphs, and rectangular data structures feed High Performance Computing (HPC) and Graphics Processing Unit (GPU) accelerated algorithms. Increased scale and speed for scientific research and intelligence analysis.

Contact us.

Determine if custom DeciSym.AI Data Packages and DeciSym.AI Engine could improve your data analysis, artificial intelligence, or machine learning workflows on High Performance Computing (HPC), cloud computing environments, or the tactical edge.