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
Type | Conference paper |
---|---|
Title | Exposing knowledge: providing a real-time view of the domain under study for students |
Authors | Zammit, 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. |
Keywords | Search engine keywords; Similarity analysis; Text enrichment |
Conference | AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence |
Page range | 122-135 |
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 | |
Editors | Bramer, M. and Petridis, M. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Paperback | 9783030348847 |
Electronic | 9783030348854 |
Publisher | Springer |
Publication dates | |
Online | 19 Nov 2019 |
19 Dec 2019 | |
Publication process dates | |
Deposited | 23 Sep 2019 |
Accepted | 06 Sep 2019 |
Output status | Published |
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 identifier | WOS:000582555200009 |
Web address (URL) of conference proceedings | https://link.springer.com/book/10.1007/978-3-030-34885-4 |
Language | English |
https://repository.mdx.ac.uk/item/88784
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