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Do you present your employees with a present for their innovative ideas? If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. This is accomplished through tags, annotations, and metadata (TAM). What you have just experienced is a plethora of heteronyms.
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.
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.
Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. This, of course, has its challenges and turning points, but Atanas provided solid advice for those wondering where to start at the end of his presentation.
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. This provides a solid foundation for efficient data integration.
The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour Another thing you should not expect from this training is presenting use cases from different domains. hour live online practice session. One of the best success stories as a result of our training is Culture Creates.
Automatic document summarization, natural language processing (NLP), and data analytics powered by generative AI present innovative solutions to this challenge. By providing summaries, extracting insights, and enriching with metadata, you efficiency add innovative features that provide differentiated user experiences.
The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour Another thing you should not expect from this training is presenting use cases from different domains. hour live online practice session. One of the best success stories as a result of our training is Culture Creates.
Like many organizations, we want to get the most of the content we produce – technical documentation about our products, capabilities, past and current projects, research publications, marketing content, presentations, and webinars. So we have built a dataset using schema.org to model and structure this content into a knowledge graph.
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