Investigation of the Process of Data Acquisition Regarding the Process of Casting from the Internet

• Autorzy: Wilk-Kolodziejczyk D. , Kluska-Nawarecka S. , Stefański Z. , Smolarek A.

Identyfikatory

DOI

10.24425/118839

• Języki publikacji: EN

Abstrakty

EN

Access to up-to-date information on technology, innovation, source publications, and the materials and services offered in a particular industry is very important for both industrial plants and departmental research centres. It should be noted that obtaining such information using publicly available search engines such as Google, Yahoo!, Bing, Bindu (mainly used in China) is only apparently easy because, due to their versatility, they deliver results with great redundancy. This leads to the need to analyze large data sets by linguistic methods or "manually", which is very tedious and time consuming. In this situation, it was considered reasonable to undertake studies aimed at acquiring relatively simple IT tools, i.e. crawlers, which allow their users to selectively search for information in a particular problem area, which in this particular case is casting. The intention of this work was to collect and analyze the experimental material that would allow describing the characteristics of the above solutions from the point of view of the range of their application, the quality of the results achieved, and possible limitations and preferences taking into account user needs.

Słowa kluczowe

EN

foundry industry; casting process; information technology; crawler

PL

przemysł odlewniczy; proces odlewania; technologie informatyczne; roboty indeksujące

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2018
• Tom: Vol. 18, iss. 1
• Strony: 212--216
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Wilk-Kolodziejczyk D.

• AGH – University of Science and Technology, Kraków, Poland
• Foundry Research Institute, Kraków, Poland

autor

Kluska-Nawarecka S.

• Foundry Research Institute, Kraków, Poland

autor

Stefański Z.

• Foundry Research Institute, Kraków, Poland

autor

Smolarek A.

• AGH – University of Science and Technology, Kraków, Poland

Bibliografia

• [1] Regulski, K., Kluska-Nawarecka, S. (2012). Knowledge integration computer tools and algorithms in the improvement of the production processes of cast-steel castings, Artificial Intelligence in the Knowledge and Information Systems. Kraków: Instytut Odlewnictwa.
• [2] Kluska-Nawarecka, S., Wilk-Kołodziejczyk, D., Regulski, K. (2013). Formalisms and Tools for Knowledge Integration Using Relational Databases. In Nguyen N.T. (eds), Transactions on Computational Collective Intelligence XII. Lecture Notes in Computer Science, Vol. 8240. (pp.1-20) Berlin. Springer, Heidelberg Breiman.
• [3] Kolias, V., Anagnostopoulos, I., Zeadally, S., (2017). Structural analysis and classification of search interfaces for the deep web. The Computer Journal. DOI: https://doi.org/10.1093/comjnl/bxx098.
• [4] Zhao, F., Zhou, J, Nie, C., Huang, H., (2016). SmartCrawler: A Two-Stage Crawler for Efficiently Harvesting Deep-Web Interfaces, IEEE Transactions on Services Computing, Vol. 99.
• [5] Shetty, K.S., Bhat, S., Singh, S., (2012) Symbolic Verification of Web Crawler Functionality and Its Properties, International Conference on Computer Communication and Informatics (ICCCI-2012). Coimbatore, INDIA, IEEE Conference Publications.
• [6] Udapure, T.V., Kale, R. & Dharmik, R. (2014). Study of web crawler and its different types. IOSR Journal of Computer Engineering (IOSR-JCE). 16.
• [7] Kausar, Md. Abu, Dhaka, V.S. & Kumar, S. (2013). Web Crawler: A Review. International Journal of Computer Applications. (0975-8887), 63(2).
• [8] Final report on the implementation of the international non-financed project for the years 2014-2015, Developing solutions for conceptualisation and sharing knowledge about the components of casting technologies in the context of innovation and improvement of production processes (in Polish).
• [9] Kluska-Nawarecka, S., Jančíková, Z., David, J., Wilk-Kołodziejczyk, D., Regulski, K., Dajda, J. (2014). Knowledge components description, support to prevent defects of metal products using methods based on artificial intelligence and ETL technologies. In 23rd International Conference on Metallurgy and Materials Metal 2014, 21-23 May 2014. Brno, Czech Republic.
• [10] Opaliński, A., Nawarecki, E., Kluska-Nawarecka, S., (2015). Agent-based approach to web exploration process. Procedia Computer Science. 51, 1052-1061. DOI: https://doi.org/10.1016/j.procs.2015.05.263.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).