Aemoo is a Web application supporting exploratory search over the Semantic Web. Through a simple keyword-based search interface, users can query Aemoo for information about any entity, which is then collected by aggregating knowledge from diverse sources such as linked data, Wikipedia, Twitter, and Google News. Such aggregation is performed according to cognitively-sound principles through the exploitation of knowledge patterns, and by exploiting semantic relations as well as interpreting hypertext links. Aemoo provides users with an eective summary of knowledge about an entity, including explanations that clarify its relevance, and presents it through a user-friendly interface that supports exploration of further knowledge

Alberto Musetti, Andrea Nuzzolese, Francesco Draicchio, Valentina Presutti, Eva Blomqvist, Aldo Gangemi, et al. (2011). Aemoo: Exploratory Search based on Knowledge Patterns over the Semantic Web.

Aemoo: Exploratory Search based on Knowledge Patterns over the Semantic Web

NUZZOLESE, ANDREA GIOVANNI;DRAICCHIO, FRANCESCO;PRESUTTI, VALENTINA;Aldo Gangemi;CIANCARINI, PAOLO
2011

Abstract

Aemoo is a Web application supporting exploratory search over the Semantic Web. Through a simple keyword-based search interface, users can query Aemoo for information about any entity, which is then collected by aggregating knowledge from diverse sources such as linked data, Wikipedia, Twitter, and Google News. Such aggregation is performed according to cognitively-sound principles through the exploitation of knowledge patterns, and by exploiting semantic relations as well as interpreting hypertext links. Aemoo provides users with an eective summary of knowledge about an entity, including explanations that clarify its relevance, and presents it through a user-friendly interface that supports exploration of further knowledge
2011
Alberto Musetti, Andrea Nuzzolese, Francesco Draicchio, Valentina Presutti, Eva Blomqvist, Aldo Gangemi, et al. (2011). Aemoo: Exploratory Search based on Knowledge Patterns over the Semantic Web.
Alberto Musetti; Andrea Nuzzolese; Francesco Draicchio; Valentina Presutti; Eva Blomqvist; Aldo Gangemi; Paolo Ciancarini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/108411
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