Automated Knowledge Base Management: A Survey

التفاصيل البيبلوغرافية
العنوان: Automated Knowledge Base Management: A Survey
المؤلفون: Martinez, Jorge
المساهمون: Software Competence Center Hagenberg (SCCH), Johannes Kepler Universität Linz (JKU)
المصدر: Computer Science Review
Computer Science Review, Elsevier, 2015, 18, pp.1-9. ⟨10.1016/j.cosrev.2015.09.001⟩
بيانات النشر: figshare, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 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
الوصف: 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.
تدمد: 1574-0137
DOI: 10.6084/m9.figshare.12875129
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4c69d3e53e8c7aeb197a28f06e056cc
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....e4c69d3e53e8c7aeb197a28f06e056cc
قاعدة البيانات: OpenAIRE
الوصف
تدمد:15740137
DOI:10.6084/m9.figshare.12875129