Automated Knowledge Base Management: A Survey
| Autor: | Martinez, Jorge |
|---|---|
| Přispěvatelé: | Software Competence Center Hagenberg (SCCH), Johannes Kepler Universität Linz (JKU) |
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
General Computer Science Computer science business.industry Knowledge engineering Open Knowledge Base Connectivity Mathematical knowledge management Theoretical Computer Science Knowledge-based systems Engineering Knowledge extraction Knowledge base Physical Sciences and Mathematics Personal knowledge management Information systems Domain knowledge [INFO]Computer Science [cs] Knowledge-based technology business |
| Zdroj: | Computer Science Review Computer Science Review, Elsevier, 2015, 18, pp.1-9. ⟨10.1016/j.cosrev.2015.09.001⟩ |
| ISSN: | 1574-0137 |
| DOI: | 10.6084/m9.figshare.12875129 |
| Popis: | International audience; 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 the tasks involved in the building, exploitation and maintenance of KBs are far from being trivial, and significant progress has been made during the last years. However, there are still a number of challenges 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. |
| Databáze: | OpenAIRE |
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