Knowledge Discovery Metadata Modeling 
Rocket-Powered Data Science
JULY 6, 2021
This is accomplished through tags, annotations, and metadata (TAM). Smart content includes labeled (tagged, annotated) metadata (TAM). The key to success is to start enhancing and augmenting content management systems (CMS) with additional features: semantic content and context. Collect, curate, and catalog (i.e.,
Ontotext
AUGUST 19, 2020
Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.
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Ontotext
MARCH 13, 2024
Eventually, this led to the transformation of the project into forming an expansive knowledge graph containing all the marketing knowledge we’ve generated, ultimately benefiting the whole organization. OTKG models information about Ontotext, combined with content produced by different teams inside the organization.
Ontotext
JULY 29, 2021
One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. Knowledge graphs (KG) came later, but quickly became a powerful driver for adoption of Semantic Web standards and all species of semantic technology implementing them.
Ontotext
SEPTEMBER 15, 2020
This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. Knowledge Graphs are the Warp and Weft of a Data Fabric. Create a human AND machine-meaningful data model.
Ontotext
MAY 18, 2020
These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Again, the overall aim is to extract knowledge from data and, through algorithms based on artificial intelligence, to assist medical professionals in routine diagnostics processes.
AWS Big Data
SEPTEMBER 26, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
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