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JOT will increase the precision of advertising campaigns

JOT Internet Media España S.L. is one of the world’s leading platforms for high-quality audience acquisition for global digital players created in 2004. It specializes in generating high-quality web traffic through digital platforms such as search engines and social networks. Handling a large volume of data, its advanced platform demonstrates an outstanding technical ability to

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enRichMyData Innovative Toolbox will Facilitate Data Enrichment Pipelines

The EU-funded project, enRichMyData, has unveiled an open software toolbox designed to streamline and democratize data enrichment pipelines across various industries. The enRichMyData toolbox represents a significant advancement in the data enrichment as it lowers entry barriers and makes it accessible to a wider range of stakeholders who encounter difficulties in delivering suitable data to

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Relation and Event Detector (RED) Demos

Ontotext’s Relation and Event Detector (RED) is a tool that analyzes textual content to identify entities, trends and events. Watch the following videos to learn more about how the RED works. The introductory video outlines RED’s capabilities for analyzing textual data and extracting meaningful information about companies, events, and entities. RED uses a knowledge graph

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Gaining Global Insights with Multilingual Entity Linking

In our interconnected world, information travels across the globe at unprecedented speed and disinformation is getting spread even faster and reused across geographies. To help in the battle against disinformation, Ontotext is tackling the challenge of identifying narratives or disinformation campaigns. This covers a range of tasks starting from analysis of textual content in multiple

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The Superpowers of Ontotext’s Relation and Event Detector

A risk and opportunity event refers to an occurrence that may positively or negatively impact the stock market performance of a company or industry sector. The ability to detect and analyze such events is crucial. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. RED answers key

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Common English Entity Linking: Linking Text to Knowledge Quickly and Efficiently

Entity linking is the process of automatically linking entity mentions from text to the corresponding entries in a knowledge base. It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs. Now comes Ontotext’s

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Ontotext Metadata Studio 3.7 Introduces an Innovative AI Model for Linking Text to Wikidata

Ontotext is pleased to announce the new version of the Ontotext Metadata Studio (OMDS). It now enables you to tag your content with CEEL – our new generation class-leading text analytics service performing Common English Entity Linking. This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the

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Natural Language Querying of GraphDB in LangChain

Natural Language Querying (NLQ) refers to the process of querying a database or an information system using natural language, such as English, instead of formal query languages, such as Structured Query Language (SQL). NLQ allows users to interact with databases or systems more intuitively and user-friendly. They can simply type or speak their queries, resembling

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