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@inproceedings{44022, author = {Menšík, Marek and Duží, Marie and Albert, Adam and Patshka, Vojtěch and Pajr, Miroslav}, address = {Montreal, Canada}, booktitle = {2019 IEEE 15th International Scientific Conference on Informatics}, doi = {http://dx.doi.org/10.1109/Informatics47936.2019.9119332}, keywords = {Information sources; Machine learning; TIL}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Montreal, Canada}, isbn = {978-1-7281-3181-8}, pages = {255-260}, publisher = {Institute of Electrical and Electronics Engineers}, title = {Seeking Relevant Information Sources}, url = {https://ieeexplore.ieee.org/document/9119332}, year = {2019} }
TY - JOUR ID - 44022 AU - Menšík, Marek - Duží, Marie - Albert, Adam - Patshka, Vojtěch - Pajr, Miroslav PY - 2019 TI - Seeking Relevant Information Sources PB - Institute of Electrical and Electronics Engineers CY - Montreal, Canada SN - 9781728131818 KW - Information sources KW - Machine learning KW - TIL UR - https://ieeexplore.ieee.org/document/9119332 L2 - https://ieeexplore.ieee.org/document/9119332 N2 - In this paper we deal with the problem of seeking relevant information sources selected from scientific or other electronic publications. In the era of information surfeit, it is getting more and more difficult to extract relevant and reliable sources of information from the huge number of e-sources. The starting point is user's query for a given concept or topic. Our algorithm applies machine learning methods in order to propose hypothetic explications of the sought terms based on pieces of information extracted from the potentially relevant e-sources. Hypotheses, formalized in the TIL-Script language, are incrementally built by applying heuristic functions. The user thus obtains as closed approximations of the meaning of the sought terms as possible that at the same time provide fine-grained keyword definitions. As a result, it should be much easier to decide which of the e-sources are relevant for user's interest. ER -
MENŠÍK, Marek, Marie DUŽÍ, Adam ALBERT, Vojtěch PATSHKA and Miroslav PAJR. Seeking Relevant Information Sources. Online. In \textit{2019 IEEE 15th International Scientific Conference on Informatics}. Montreal, Canada: Institute of Electrical and Electronics Engineers, 2019, p.~255-260. ISBN~978-1-7281-3181-8. Available from: https://dx.doi.org/10.1109/Informatics47936.2019.9119332.
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