Exposing knowledge: providing a real-time view of the domain under study for students

Conference paper

Zammit, O., Smith, S., De Raffaele, C. and Petridis, M. 2019. Exposing knowledge: providing a real-time view of the domain under study for students. Bramer, M. and Petridis, M. (ed.) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom 17 - 19 Dec 2019 Springer. pp. 122-135 https://doi.org/10.1007/978-3-030-34885-4_9
TypeConference paper
TitleExposing knowledge: providing a real-time view of the domain under study for students
AuthorsZammit, O., Smith, S., De Raffaele, C. and Petridis, M.
Abstract

With the amount of information that exists online, it is impossible for a student to find relevant information or stay focused on the domain under study. Research showed that search engines have deficiencies that might prevent students from finding relevant information. To this end, this research proposes a technical solution that takes the personal search history of a student into consideration and provides a holistic view of the domain under study. Based on algorithmic approaches to assert semantic similarity, the proposed framework makes use of a user interface to dynamically assist students through aggregated results and wordcloud visualizations. The effectiveness of our approach is finally evaluated through the use of commonly used datasets and compared in line with existing research.

KeywordsSearch engine keywords; Similarity analysis; Text enrichment
ConferenceAI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence
Page range122-135
Proceedings Title Artificial Intelligence XXXVI 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17–19, 2019, Proceedings
Series Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
EditorsBramer, M. and Petridis, M.
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783030348847
Electronic9783030348854
PublisherSpringer
Publication dates
Online19 Nov 2019
Print19 Dec 2019
Publication process dates
Deposited23 Sep 2019
Accepted06 Sep 2019
Output statusPublished
Accepted author manuscript
File Access Level
Open
First submitted version
File Access Level
Restricted
Copyright Statement

This version of the paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The final authenticated version published in Artificial Intelligence XXXVI. SGAI 2019. Lecture Notes in Computer Science, vol 11927 is available online at: http://dx.doi.org/10.1007/978-3-030-34885-4_9

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-34885-4_9
Web of Science identifierWOS:000582555200009
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-030-34885-4
LanguageEnglish
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