Exposing knowledge: providing a real-time view of the domain under study for students
Conference paper
Zammit, O., De Raffaele, C., Smith, S. 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., De Raffaele, C., Smith, S. 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. |
Language | English |
Conference | AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence |
Page range | 122-135 |
Editors | Bramer, M. and Petridis, M. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Hardcover | 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 | |
Copyright Statement | This is a post-peer-review, pre-copyedit version of an article published in rtificial Intelligence XXXVI. SGAI 2019. Lecture Notes in Computer Science, vol 11927. The final authenticated version 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 |
Book title | Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence (AI-2019), Cambridge, UK, December 17–19, 2019, Proceedings |
https://repository.mdx.ac.uk/item/88784
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