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Streamline Your Data Matching with Ontotext Reconcile

Have you ever struggled to match textual references to structured data? Built as part of the enRichMyData project toolbox, Ontotext Reconcile is the smart tool designed to bridge the gap between text-based inputs and rich RDF graphs. It empowers researchers, analysts, and organizations to match data with precision and ease.  Whether you are working with […]

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Ontotext Refine: Your Data Transformation Game-Changer

Data transformation just got a whole lot easier—and smarter! Introducing Ontotext Refine, a tailored version of the open-source OpenRefine, designed to work seamlessly with Ontotext’s GraphDB. Built within the framework of the enRichMyData project, this tool takes the heavy lifting out of preparing, mapping, and transforming structured data into RDF. If you’re juggling multiple formats

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Unlocking the Power of Semantic Annotation with JSI Wikifier

JSI Wikifier is a cutting-edge web service that transforms unstructured text documents into annotated texts linked to relevant Wikipedia concepts. With its advanced semantic annotation capabilities, JSI Wikifier not only improves data comprehension but also enhances usability for research, technology, and business applications. Regularly maintained and updated with the latest Wikipedia dumps, JSI Wikifier ensures

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Introducing the Categorizer: A Step Forward in Knowledge Field Classification  

The JSI Categorizer is a powerful tool designed to classify textual data into specific knowledge fields, treating this task as a multi-label problem. At the heart of this tool is the KnowMap Taxonomy, a hierarchical knowledge structure that aligns with the widely recognized Cooperative Patent Classification (CPC) schema. Why KnowMap? KnowMap enhances the classification process

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Expert.AI Document Classification APIs: A Powerful Tool in enRichMyData Toolbox V2     

Among the features of the enRichMyData toolbox version 2 is the Expert.AI Platform’s Document Classification APIs, a sophisticated solution in Natural Language Processing (NLP) and Natural Language Understanding (NLU). This technology provides users with the means to categorize and understand large volumes of textual data through a range of structured taxonomies and powerful language support.

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Introducing SIM-PIPE: A New Approach to Data Pipeline Optimization

enRichMyData has released the next generation of tools and services in its Toolbox V2. As part of this EU-funded project, we offer innovative resources to enhance data enrichment processes, optimize data workflows, and promote sustainable practices. Developed by SINTEF, SIM-PIPE is a robust tool designed to streamline data pipeline management. It empowers users to simulate

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Expert.AI Document Analysis APIs unlock the Power of Data Enrichment

In today’s data-driven world, understanding and leveraging unstructured data is key to innovation across industries. The EU-funded enRichMyData project is addressing this challenge head-on by developing an advanced toolbox of data enrichment tools and services, designed to bring new insights and added value to raw data. The Expert.AI Platform’s Document Analysis API is a powerful

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enRichMyData Integrated Toolbox Version 2 Released

The enRichMyData toolbox provides a set of loosely coupled but interoperable tools and services that provide functional capabilities needed to support the design of data enrichment pipelines. The enRichMyData toolbox is meant to handle complex data enrichment scenarios, where tools and services can be combined and customized as needed. The core of the enRichMyData toolbox

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Creating a Pan-European Public Entities Register: Spend Network’s Data Enrichment Solutions

Spend Network is an organisation specialising in collecting, standardizing, and disseminating procurement data on a global scale. It maintains the largest Open Contracting Data Standard (OCDS) database, comprising over 180 million lines of information from more than 100 countries. This extensive dataset provides valuable insights into the USD 13 trillion global public procurement market, enabling

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