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Artificial Intelligence (AI) has pervasively impacted numerous sectors, demonstrating its transformative capabilities. By focusing on the interactive delivery and collaborative production of reports, underpinned by Generative AI, the AI-RISE project tackles a promising frontier. It aims to redefine how sustainability experts produce, share, and apply knowledge. The value and impact of AI-RISE innovations will be […]
The International Broadcasting Convention (IBC) welcomed around 40,000 participants in Amsterdam between 13 and 16 September 2024. The show was an exciting opportunity to present our most recent technologies, developed as part of the EU-funded TRANSMIXR project. In collaboration with international media and technology partners, webLyzard technology presented two showcases in the IBC Accelerator Media […]
AI-Driven Data Sculptures to Promote Sustainability Content of Galleries, Libraries, Archives and Museums (GLAMs) Scientists predict dramatic consequences unless stronger actions are taken to reduce carbon emissions. The observable actions, however, are not commensurate with the observable threat. The reasons for this discrepancy are the lack of collective awareness (i.e., the perception of climate change […]
The importance of storytelling in marketing communications is not only reflected in the interactive visualizations of the webLyzard dashboard, but also in its success metrics. Positive versus negative sentiment affects the popularity of a brand, company, or topic. The webLyzard Stakeholder Dialog and Opinion Model (WYSDOM) provides a dynamic assessment of this popularity. Thereby, it […]
Horizon Europe is a highly competitive funding scheme. Successful proposals not only need innovation and scientific excellence. They also have to demonstrate their societal and economic impact to achieve the score required to get funded. Now that the new concept of Key Impact Pathways (KIPs) is a core part of every proposal, Dissemination and Exploitation […]
Recent years have shown major advances in the use of deep learning for the automated extraction of factual, affective and contextual knowledge from digital content streams. The GENTIO Project (Generative Networks for Text and Impact Optimization) builds on these advances to change the way we produce, enrich and analyse digital content. Advances in Deep Learning […]
This document reflects the evolution of the webLyzard technology stack between June 2013 and March 2017. For the most current feature updates, please refer to the main release history document. 2017-03 (Mangrove Monitor) Visual Analytics Geographic Map. New rendering engine to visualize the referenced locations in the full set of search results, rather than only analyzing […]
By providing a simple and unified interface to our various data and visualizations services, the webLyzard API framework serves as a flexible and scalable building block for third-party applications such as data warehouses, business intelligence solutions and artificial intelligence tools. API Services The REST APIs require authentication and return results as a set of JSON […]
US Klimawandel Initiative Weißes Haus setzt bei neuer Klima-Initiative auf österreichische Web Intelligence Mehr Aufmerksamkeit für Klimawandel durch das “Climate Resilience Toolkit” von NOAA und webLyzard Im November 2014 präsentierte US-Vizepräsident Joe Biden im Namen des Weißen Hauses eine neue Klimaschutz-Initiative, die innovative Web Intelligence Technologien des österreichischen Startups webLyzard nutzt. Die US-Regierung möchte damit […]
Advances in social computing have driven a new culture of participation. Creating documents through cooperation and social exchange benefits from a synergy of skills, distributed decisions, and the dynamic maintenance of shared knowledge. webLyzard provides several features to support such knowledge co-creation processes: synchronous document editing with instant content recommendations based on a real-time analysis […]
The advanced search at the heart of the webLyzard platform unlocks the full potential of data and content ecosystems. Its capabilities go far beyond simple keyword matching, instead offering a comprehensive approach to discovering, retrieving and analyzing data. The advanced search helps you generate insights, disambiguate queries and uncover hidden relations within large datasets. Furthermore, […]
Which airlines have a positive reputation among social media users? Who are the most visible CEOs in the computer industry, and what are mainstream media associating with them? The Recognyze module for Named Entity Recognition and Resolution helps to answer such questions. What is Named Entity Recognition? Named Entity Recognition is an automated method to […]
Overview. The tag cloud uses dynamic transitions to adapt its content to the current search. It arranges the most relevant keywords alphabetically, uses color coding to show their positive or negative sentiment and adjusts font size according to their relative importance (= number of occurrences in the list of search results). Display Features Based on Scalable Vector […]
FIT-IT Semantic Systems Program Line Acquisition and Validation of Ontologies Architecture for Testing Semantic Hypotheses www.weblyzard.com/avalon Valuable knowledge that surrounds the workflows of business entities can be extracted automatically and represented as ontological structure. The methodology is built upon a cybernetic control system to automatically align extracted knowledge with business processes, external indicators, and individual expertise. […]
webLyzard technology is an Austrian SME founded in 2008. The unique capabilities of its big data platform are based on a strong R&D track record in the fields of knowledge extraction, artificial intelligence, visualization and the integration of geospatial and semantic Web technologies.
Function: intelligence platform; Etymology: composed from web (as in World Wide Web) and lyzard (as in analyzer). 1 : (broadly) enriches digital content; identified by its speed, accuracy and scalability. 2 : predicts trends to gain a deeper understanding of information flows.
