Abstract
The amount of all kinds of data that available electronically has increased dramatically in recent years. The data resides in different types, either in structured (SD), semi-structured (SSD) or unstructured data (USD). Data integration for multiple types of data can be defined as the problem of combining data from heterogeneous sources to one unified structure. A user is unable to view it as a single entity irrespective of the origination or its data type. It involves combining data coming from different sources and providing users with a unified view of these data. In this paper, we propose a diagrammatic representation of a wrapper for multiple types of SSD data extraction using Document Object Model (DOM). We have implemented the automated web extractor, Wrapper for Extraction of Image using DOM (WEID) using the PHP programming language that can extract images from a web page. Experimental results on a web page are encouraging and confirm the feasibility of the approach in extracting images successfully. Our approach is less labour-intensive, and we believe via our technique that automatic extraction of images can be done fast and effectively.
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Acknowledgements
This research is supported by Scholarship of Universiti Malaysia Terengganu (BUMT).
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Sabri Ahmad, I.A., Man, M. (2018). Multiple Types of Semi-structured Data Extraction Using Wrapper for Extraction of Image Using DOM (WEID). In: Yacob, N., Mohd Noor, N., Mohd Yunus, N., Lob Yussof, R., Zakaria, S. (eds) Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016) . Springer, Singapore. https://doi.org/10.1007/978-981-13-0074-5_6
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DOI: https://doi.org/10.1007/978-981-13-0074-5_6
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