Automated knowledge base management: A survey

Jorge Martinez-Gil
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/x3ibtg2oifh47c73tgo66gjrw4" style="color: black;">Computer Science Review</a> </i> &nbsp;
A fundamental challenge in the intersection of Artificial Intelligence and Databases consists of developing methods to automatically manage Knowledge Bases which can serve as a knowledge source for computer systems trying to replicate the decision-making ability of human experts. Despite of most of tasks involved in the building, exploitation and maintenance of KBs are far from being trivial, significant progress has been made during the last years. However, there are still a number of
more &raquo; ... s that remain open. In fact, there are some issues to be addressed in order to empirically prove the technology for systems of this kind to be mature and reliable.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cosrev.2015.09.001">doi:10.1016/j.cosrev.2015.09.001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vqj5bffs45ggjewrsunwlgkq6u">fatcat:vqj5bffs45ggjewrsunwlgkq6u</a> </span>
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