Remove IT Remove Knowledge Discovery Remove Metadata
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

This is accomplished through tags, annotations, and metadata (TAM). Smart content includes labeled (tagged, annotated) metadata (TAM). Do you present your employees with a present for their innovative ideas? Do you perfect your plans in anticipation of perfect outcomes? If you have good answers to these questions, that is awesome!

Strategy 267
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Three’s Company Too: Metadata, Data and Text Analysis

Ontotext

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 Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

From knowledge graph building to value To enhance the discoverability of information about Ontotext, we aimed at unlocking the value embedded within our content and rendering it readily accessible. Then we build a knowledge graph consisting of custom ontologies (in our case, an extension of schema.org), and custom taxonomies.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

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. This way KGs help organizations smarten up proprietary information by using global knowledge as context for interpretation and source for enrichment. What is it?

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. ExaMode, an acronym for Extreme-scale Analytics via Multimodal Ontology Discovery & Enhancement, is a project funded by the European Union, H2020 programme.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

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. What Makes a Data Fabric? It is a buzzword.

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Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

However, for this to happen, there needs to be context for the data to become knowledge. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.