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This paper presents a method for building ontologies through a bottom-up extraction approach using XML objects and associations. It focuses on enhancing metadata quality by incorporating user feedback
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING is a peer-reviewed academic journal that publishes research articles in the field of data engineering and knowledge management, and the specific volume and issue refer to the publications and findings presented in February 2007.
Researchers, scientists, and academic professionals in the field of data engineering and knowledge management may file submissions to this journal, as it is intended for those who contribute original research findings to the body of knowledge in this area.
The submission process typically involves preparing a manuscript according to the journal's guidelines, including formatting, citations, and reference styles, and submitting it through the journal's online submission system.
The purpose of this journal is to disseminate high-quality research that advances the understanding and application of data management and knowledge engineering technologies, thus contributing to the academic community and industry practices.
Authors must report their research findings, methodologies, data analysis, and conclusions, as well as include appropriate citations, references, and ethical disclosures relevant to their work.
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