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Št. zadetkov: 8
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We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation of prior knowledge. The logical constraints deduced from ontologies can be utilized to enhance and control the learning task by e ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;semantic web;rdf - resource description framework;data mining;kernel methods;owl - web ontology language
The increasing availability of structured data in Resource Description Framework (RDF) format poses new challenges and opportunities for data mining. Existing approaches to mining RDF have focused on one specific data representation, one specific machine learning algorithm or one specific task, only ...
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;computational linguistics
Leto: 2012 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;knowledge extraction
Leto: 2013 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;big data;semantic web
Learning cross-lingual semantic representations of relations from textual data is useful for tasks like cross-lingual information retrieval and question answering. So far, research has been mainly focused on cross-lingual entity linking, which is confined to linking between phrases in a text doc ...
Leto: 2015 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;semantic web
Knowledge Graphs (KGs) effectively capture explicit relational knowledge about individual entities. However, visual attributes of those entities, like their shape and color and pragmatic aspects concerning their usage in natural language are not covered. Recent approaches encode such knowledge by le ...
Leto: 2017 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;big data;semantic web
Images on the Web encapsulate diverse knowledge about varied abstract concepts. They cannot be sufficiently described with models learned from image-caption pairs that mention only a small number of visual object categories. In contrast, large-scale knowledge graphs contain many more concepts that c ...
Leto: 2018 Vir: videolectures.net
Št. zadetkov: 8
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