In this paper we present the system KnowNow, a tool whose aim is to let the users navigate into text corpora through dynamic semantic information networks, created in real-time according to delimited time ranges. In educational scenarios, students are often asked to write short essays on different topics linked by temporal information. This usually involves a combination of several aspects to be evaluated, such as knowledge, imagination, structure and presentation. In the light of this, the introduction of Natural Language Understanding techniques together with cross-topic navigation and visualization tools and considerably help students to retrieve, link, and create well-structured and original contributions, as we demonstrate by using KnowNow. © 2014 Springer-Verlag.

KnowNow: A serendipity-based educational tool for learning time-linked knowledge

Di Caro L.
First
;
Robaldo L.;
2014-01-01

Abstract

In this paper we present the system KnowNow, a tool whose aim is to let the users navigate into text corpora through dynamic semantic information networks, created in real-time according to delimited time ranges. In educational scenarios, students are often asked to write short essays on different topics linked by temporal information. This usually involves a combination of several aspects to be evaluated, such as knowledge, imagination, structure and presentation. In the light of this, the introduction of Natural Language Understanding techniques together with cross-topic navigation and visualization tools and considerably help students to retrieve, link, and create well-structured and original contributions, as we demonstrate by using KnowNow. © 2014 Springer-Verlag.
2014
European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014
Nancy, france
2014
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Springer Verlag
8726
3
440
443
978-3-662-44844-1
978-3-662-44845-8
Education; Natural Language Understanding; Semantic Search
Di Caro L.; Robaldo L.; Bersia N.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1759673
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