Diversity, especially manifested in language and knowledge, is a function of local goals, needs, competences, beliefs, culture, opinions and personal experience. The Living Knowledge Project considers diversity as an asset rather than a problem. With the project, foundational ideas emerged from the synergic contribution of various disciplines, methodologies, with which many partners were previously unfamiliar, and technologiesflowed in concrete diversity-aware applications such as the Future Predictor and the Media Content Analyser providing users with better structured information while coping with Web scale complexities. The key notions of diversity, fact, opinion and bias were defined in relation to three methodologies: Media Content Analysis (MCA) which operates from a social sciences perspective; Multimodal Genre Analysis (MGA) which operates from a semiotic perspective and Facet Analysis (FA) which operates from a knowledge representation and organization perspective. A conceptual architecture that ties them all together has become the core for the automatic extraction tools and the way they interact. In particular, the conceptual architecture has been implemented with the Media Content Analyser application. The scientific and technological results obtained are described in the article.
Living Knowledge: Facts, opinions and bias in time
BALDRY, Anthony Peter
2012-01-01
Abstract
Diversity, especially manifested in language and knowledge, is a function of local goals, needs, competences, beliefs, culture, opinions and personal experience. The Living Knowledge Project considers diversity as an asset rather than a problem. With the project, foundational ideas emerged from the synergic contribution of various disciplines, methodologies, with which many partners were previously unfamiliar, and technologiesflowed in concrete diversity-aware applications such as the Future Predictor and the Media Content Analyser providing users with better structured information while coping with Web scale complexities. The key notions of diversity, fact, opinion and bias were defined in relation to three methodologies: Media Content Analysis (MCA) which operates from a social sciences perspective; Multimodal Genre Analysis (MGA) which operates from a semiotic perspective and Facet Analysis (FA) which operates from a knowledge representation and organization perspective. A conceptual architecture that ties them all together has become the core for the automatic extraction tools and the way they interact. In particular, the conceptual architecture has been implemented with the Media Content Analyser application. The scientific and technological results obtained are described in the article.Pubblicazioni consigliate
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