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Cited by 7Topic ModelingSemantic Web and OntologiesNatural Language Processing Techniques

AI*IA 2016 Advances in Artificial Intelligence: XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29 – December 1, 2016, Proceedings

Maratea, Marco, Marco Gori, Cagnoni, Stefano, Giovanni Adorni·2016·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-49130-1
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Crossref · 10.1007/978-3-319-49130-1

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6 of 6 references verified0 citation errors · 0 not checkable

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  • In [25], a linearization algorithm generated a suggested learning path for students based on the Educational Concept Map to personalize learning materials.

    “The linearization algorithm generates a suggested learning path for students based on the Educational Concept Map (ECM).The algorithm is used to personalize the learning materials and educational resources for each student based on their self-evaluation of knowledge and learning objectives.”

    From Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review (2023) · cites this paper as [25]

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Authors
Maratea, M., Gori, M., Cagnoni, S., & Adorni, G.
Affiliations
  • University of Genoa (IT)
  • University of Parma (IT)
  • University of Siena (IT)
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2016
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-319-49130-1
OpenAlex
W2548173722
Cited by
7
References
6
Citations by year
2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2017: 1
FWCI
0.36
Type
conference paper
Language
en
Open access
closed
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
artificial intelligence, optimization, evolutionary algorithms, classification, pattern recognition, computer vision, multi-agent systems, machine learning, semantic web, description logics, natural language processing, planning and scheduling, formal verification

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