Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Axel-Cyrille Ngonga Ngomo"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
One of the big challenges in robotics is the generalization necessary for performing unknown tasks in unknown environments on unknown objects. For us humans, this challenge is simplified by the commonsense knowledge we can access. For cognitive robot
Externí odkaz:
https://doaj.org/article/1f464f794b88420094e0724a8d7c6d6e
Autor:
Mohamed Ahmed Sherif, Ana Alexandra Morim da Silva, Svetlana Pestryakova, Abdullah Fathi Ahmed, Sven Niemann, Axel-Cyrille Ngonga Ngomo
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Graffiti is an urban phenomenon that is increasingly attracting the interest of the sciences. To the best of our knowledge, no suitable data corpora are available for systematic research until now. The Information System Graffiti in Germany
Externí odkaz:
https://doaj.org/article/6dcba9188dd948f586f80d59ad781468
Publikováno v:
IEEE Access, Vol 11, Pp 84957-84973 (2023)
Knowledge graphs (KGs) that follow the Linked Data principles are created daily. However, there are no holistic models for the Linked Open Data (LOD). Building these models(i.e., engineering a pipeline system) is still a big challenge in order to mak
Externí odkaz:
https://doaj.org/article/6951809e7d394dc08fbe188bbcce8188
Autor:
Svetlana Pestryakova, Daniel Vollmers, Mohamed Ahmed Sherif, Stefan Heindorf, Muhammad Saleem, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Measurement(s) COVID-19-related publications Technology Type(s) named entity recognition, entity linking and link discovery approaches
Externí odkaz:
https://doaj.org/article/81a1e7f79efd488dbc58aa1e06073897
Publikováno v:
IEEE Access, Vol 9, Pp 118861-118870 (2021)
Social media plays a significant role in disaster management by providing valuable data about affected people, donations, and help requests. Recent studies highlight the need to filter information on social media into fine-grained content labels. How
Externí odkaz:
https://doaj.org/article/cc5e335cf48f40e1883eeb9140c3d5fe
Publikováno v:
IEEE Access, Vol 7, Pp 101031-101045 (2019)
A key property of linked data, i.e., the web-based representation and publication of data as interconnected labeled graphs, is that it enables querying and navigating through datasets distributed across the network. SPARQL1.1, the current standard qu
Externí odkaz:
https://doaj.org/article/4803130ad8744577b0475f4a806fd7b0
Autor:
Tobias Kuhn, Christine Chichester, Michael Krauthammer, Núria Queralt-Rosinach, Ruben Verborgh, George Giannakopoulos, Axel-Cyrille Ngonga Ngomo, Raffaele Viglianti, Michel Dumontier
Publikováno v:
PeerJ Computer Science, Vol 2, p e78 (2016)
Publication and archival of scientific results is still commonly considered the responsability of classical publishing companies. Classical forms of publishing, however, which center around printed narrative articles, no longer seem well-suited in th
Externí odkaz:
https://doaj.org/article/5209245180cc49348af7474a39513417
Publikováno v:
PLoS ONE, Vol 5, Iss 6, p e10996 (2010)
Biological data, and particularly annotation data, are increasingly being represented in directed acyclic graphs (DAGs). However, while relevant biological information is implicit in the links between multiple domains, annotations from these differen
Externí odkaz:
https://doaj.org/article/3963b90fab3f45c9963daedfb140b654
Publikováno v:
2023 IEEE 17th International Conference on Semantic Computing (ICSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc940704aac3c19d0aa526b3ea3c7ced
https://doi.org/10.1109/icsc56153.2023.00053
https://doi.org/10.1109/icsc56153.2023.00053
Autor:
Manzoor Ali, Muhammad Saleem, Diego Moussallem, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Publikováno v:
The Semantic Web ISBN: 9783031334542
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdfd2c263d1ea94edc23718004169fbd
https://doi.org/10.1007/978-3-031-33455-9_20
https://doi.org/10.1007/978-3-031-33455-9_20
