%0 Conference Paper %1 conf/icalt/TaibiFMNRA17 %A Taibi, Davide %A Fulantelli, Giovanni %A Marenzi, Ivana %A Nejdl, Wolfgang %A Rogers, Richard %A Ahmad, Qazi Asim Ijaz %B Proceedings of IEEE 17th International Conference on Advanced Learning Technologies (ICALT 2017) %D 2017 %E Chang, Maiga %E Chen, Nian-Shing %E Huang, Ronghuai %E Kinshuk, %E Sampson, Demetrios G %E Vasiu, Radu %I IEEE %K SaR-WEB SearchAsLearning myown sysrelevantforl3s %P 522-524 %R 10.1109/ICALT.2017.51 %T SaR-WEB: A Semantic Web Tool to Support Search as Learning Practices and Cross-Language Results on the Web. %U http://ieeexplore.ieee.org/document/8001849/ %X 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.

@inproceedings{conf/icalt/TaibiFMNRA17, 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.}, added-at = {2017-12-25T15:33:59.000+0100}, author = {Taibi, Davide and Fulantelli, Giovanni and Marenzi, Ivana and Nejdl, Wolfgang and Rogers, Richard and Ahmad, Qazi Asim Ijaz}, biburl = {https://www.bibsonomy.org/bibtex/24e9dbacce76aa98ff67cae7edeaefe6c/marenzi}, booktitle = {Proceedings of IEEE 17th International Conference on Advanced Learning Technologies (ICALT 2017)}, crossref = {conf/icalt/2017}, doi = {10.1109/ICALT.2017.51}, editor = {Chang, Maiga and Chen, Nian-Shing and Huang, Ronghuai and Kinshuk and Sampson, Demetrios G and Vasiu, Radu}, ee = {https://doi.org/10.1109/ICALT.2017.51}, interhash = {9548d6a099ba1fe7f4e4e66748b0bbe1}, intrahash = {4e9dbacce76aa98ff67cae7edeaefe6c}, issn = {2161-377X}, keywords = {SaR-WEB SearchAsLearning myown sysrelevantforl3s}, language = {English}, pages = {522-524}, publisher = {IEEE}, timestamp = {2017-12-25T15:33:59.000+0100}, title = {SaR-WEB: A Semantic Web Tool to Support Search as Learning Practices and Cross-Language Results on the Web.}, url = {http://ieeexplore.ieee.org/document/8001849/}, year = 2017 }