Abstract
We present herein a solution to problems in data integration, which is a process of consolidating similar information from different sources, in which multiple data sources ensure data unification. One concept value may have different name values used in two different databases that are consistent and meaningful under the same concept. This conflict must be resolved for consistency as well as to reduce data errors. We extracted the specifications of a mobile phone and smartphone from several websites and created JSON middleware for mapping and synonyms for the specification of mobile phone data in the form of same word standardization. Schema matching plays an important role in combining different sources of information, which can find meaningful consistency between the components of the two schemas, and are then integrated into a new database that collects more mobile phones and smartphones, but reduces the duplication of data from the original database obtained from website data extraction. The application of the proposed method involves the mobile phone data integration problem of two integrated languages, namely, Thai and English, demonstrating efficiency in actual use.
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Acknowledgment
This research was partially supported by the Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.
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Khamsom, S., Thamviset, W. (2020). Smartphone Information Extraction and Integration from Web. In: Meesad, P., Sodsee, S. (eds) Recent Advances in Information and Communication Technology 2020. IC2IT 2020. Advances in Intelligent Systems and Computing, vol 1149. Springer, Cham. https://doi.org/10.1007/978-3-030-44044-2_13
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DOI: https://doi.org/10.1007/978-3-030-44044-2_13
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