Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017 |
| Herausgeber/-innen | Ronghuai Huang, Radu Vasiu, Kinshuk, Demetrios G Sampson, Nian-Shing Chen, Maiga Chang |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 522-524 |
| Seitenumfang | 3 |
| ISBN (elektronisch) | 9781538638705 |
| Publikationsstatus | Veröffentlicht - Aug. 2017 |
| Veranstaltung | 17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017 - Timisoara, Rumänien Dauer: 3 Juli 2017 → 7 Juli 2017 |
Abstract
In this paper, we present SaR-Web, a multimodal web search tool that provides automatic support to searching as learning processes. Inspired by the work of Richard Rogers and the Digital Methods Initiative, SaR-Web compares the results of queries across search engine language domains, and visualizes search results with a semantic added value, thus facilitating cross-linguistic and cross-cultural comparisons of results. The comparison between search results in different languages is enabled through the visualization of semantic concepts extracted by means of a NER tool from the search results. The SaR-Web system has the potential to support highlevel learning activities described in Bloom's taxonomy such as: identifying and analyzing patterns, comparing, integrating, and creating new ideas.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Angewandte Informatik
- Sozialwissenschaften (insg.)
- Ausbildung bzw. Denomination
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- BibTex
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Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017. Hrsg. / Ronghuai Huang; Radu Vasiu; Kinshuk; Demetrios G Sampson; Nian-Shing Chen; Maiga Chang. Institute of Electrical and Electronics Engineers Inc., 2017. S. 522-524 8001849.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - SaR-WEB
T2 - 17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017
AU - Taibi, Davide
AU - Fulantelli, Giovanni
AU - Marenzi, Ivana
AU - Nejdl, Wolfgang
AU - Rogers, Richard
AU - Ijaz, Asim
N1 - Funding information: ACKNOWLEDGMENT This work was partially funded by the European commission in the context of the ALEXANDRIA project (ERC advanced grant no: 339233).
PY - 2017/8
Y1 - 2017/8
N2 - In this paper, we present SaR-Web, a multimodal web search tool that provides automatic support to searching as learning processes. Inspired by the work of Richard Rogers and the Digital Methods Initiative, SaR-Web compares the results of queries across search engine language domains, and visualizes search results with a semantic added value, thus facilitating cross-linguistic and cross-cultural comparisons of results. The comparison between search results in different languages is enabled through the visualization of semantic concepts extracted by means of a NER tool from the search results. The SaR-Web system has the potential to support highlevel learning activities described in Bloom's taxonomy such as: identifying and analyzing patterns, comparing, integrating, and creating new ideas.
AB - In this paper, we present SaR-Web, a multimodal web search tool that provides automatic support to searching as learning processes. Inspired by the work of Richard Rogers and the Digital Methods Initiative, SaR-Web compares the results of queries across search engine language domains, and visualizes search results with a semantic added value, thus facilitating cross-linguistic and cross-cultural comparisons of results. The comparison between search results in different languages is enabled through the visualization of semantic concepts extracted by means of a NER tool from the search results. The SaR-Web system has the potential to support highlevel learning activities described in Bloom's taxonomy such as: identifying and analyzing patterns, comparing, integrating, and creating new ideas.
KW - cross-language analysis
KW - Digital methods
KW - Search as learning
UR - http://www.scopus.com/inward/record.url?scp=85030224651&partnerID=8YFLogxK
U2 - 10.1109/icalt.2017.51
DO - 10.1109/icalt.2017.51
M3 - Conference contribution
AN - SCOPUS:85030224651
SP - 522
EP - 524
BT - Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
A2 - Huang, Ronghuai
A2 - Vasiu, Radu
A2 - Kinshuk, null
A2 - Sampson, Demetrios G
A2 - Chen, Nian-Shing
A2 - Chang, Maiga
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 July 2017 through 7 July 2017
ER -