Ontotext, a leader in Semantic Technology, Videntifier, an Icelandic company for content and entity recognition in images and video, and Semantic Interactive, an expert in knowledge extraction and content aggregation, have won а Eurostars-2 EVALA project for creating a platform for media content analysis and impact evaluation.
The EVALA project will aim to demonstrate an easier way of transforming massive amounts of media content into knowledge providing animated dashboards. These will represent the variety and intensity of interconnectedness between entities and how they change over time. The idea of the project is also to show that such solutions can be used as a practical and effective instrument for information extraction and analysis in Knowledge Management. The new product will target a wide range of decision-makers from all over the world in both private and public sectors.
Ilian Uzunov, EMEAA Sales at Ontotext, says:
With the EVALA project we aim to empower communication professionals, journalists and analysts globally with a real-time cognitive solution. It will allow them to fully explore the media universe and evaluate the impact of opinion-leaders.
The Links Analysis and Impact Evaluation Platform will visually represent automatically and dynamically analyzed entity correlations. It will draw real-time associative semantic graphs on a cognitive map of entities – much like the human brain. Based on frequency, proximity and volume of mentions rather than just prior ontological knowledge, it will focus on evaluating causal relationships between entities.
Identifying and presenting these relationships in a graph and additionally enriching them with linked data will lead to e-discovery of hidden patterns, factors and models, influencer identification and stakeholder analysis.
The system developed by the EVALA project will be commercialized as a content analysis platform that will benefit:
The Links Analysis and Impact Evaluation Platform will combine and use a set of existing state-of-the-art technologies in an innovative way for automated gathering and source processing, ontology modeling, entity recognition in text, object recognition in video (and images), and interactive visual representation.
Eurostars is a joint programme between EUREKA and the European Commission, co-funded from the national budgets of 36 Eurostars Participating States and Partner Countries and by the European Union through Horizon 2020. In the 2014-2020 period, it has a total public budget of €1.14 billion.