Editorial of the Special Issue on Deep Learning and Knowledge Graphs

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2022-03-30 DOI:10.3233/sw-223099

Mehwish Alam, D. Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, H. Sack

引用次数: 1

Abstract

Mehwish Alam a,b,*, Davide Buscaldi c, Michael Cochez d, Francesco Osborne e, Diego Reforgiato Recupero f and Harald Sack a,b a FIZ-Karlsruhe, Leibniz Institute for Information Infrastructure, Karlsruhe, Germany b Karlsruhe Institute of Technology, Karlsruhe, Germany E-mails: mehwish.alam@kit.edu, harald.sack@kit.edu c LIPN, Université Sorbonne Paris Nord, France E-mail: buscaldi@lipn.fr d University of Amsterdam, the Netherlands E-mail: m.cochez@vu.nl e KMi, The Open University, UK E-mail: francesco.osborne@open.ac.uk f Department of Mathematics and Computer Science, University of Cagliari, Italy E-mail: diego.reforgiato@unica.it

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深度学习与知识图谱特刊编辑

Mehwish Alam a,b，*， Davide Buscaldi c, Michael Cochez d, Francesco Osborne e, Diego Reforgiato Recupero f和Harald Sack a,b a fizz -Karlsruhe，德国卡尔斯鲁厄莱布尼茨信息基础设施研究所，德国卡尔斯鲁厄卡尔斯鲁厄理工学院，德国卡尔斯鲁厄e -mail: mehwish.alam@kit.edu, harald.sack@kit.edu c LIPN，法国巴黎北部索邦大学e - buscaldi@lipn.fr d荷兰阿姆斯特丹大学e - m.cochez@vu.nl e - KMi，英国开放大学e -mail:francesco.osborne@open.ac.uk f意大利卡利亚里大学数学与计算机科学系E-mail: diego.reforgiato@unica.it

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来源期刊

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.

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